Systems biology 9 Signal Transduction

Size: px
Start display at page:

Download "Systems biology 9 Signal Transduction"

Transcription

1 Humbol- Sommersemester 2 Systems biology 9 Signal Transuction Ea Klipp Humbol- Institut für Biologie Theoretische Biophysi

2 Moeling of Signal Transuction Humbol- Before: Metabolismus - Mass transfer Now: Signal transuction - Information transfer Typical Signals: Hormones, pheromones Heat, col, osmotic pressure concentration of certain substances (K, Ca, camp,..) nutrient availability Interactive Animation of MAP Kinase Signal Transuction

3 Typical Mechanism Signal Humbol- Activation of receptor at membran Internalization of signals G-Protein, Phosphorelay Signal transmission Activation of transcription factors Transcription, Translation, Gen Protein function biochemical response Downregulation of signal mrna Protein

4 Yeast Signaling Pathways Humbol-

5 Signaling Pathway Components Humbol-

6 Receptors Humbol- Ligan Receptor, Bining site Receptor, cytosolic omain inactive active Extracellular space Membrane Intracellular space transmembrane receive signal an transmit it conformation change active or inactive form Simple concept: H + R HR K D = H. R HR H - Hormone R - Receptor HR - Hormone-receptor-complex Typical values : K D = -2 M. -6 M

7 Receptor, Extene Moel Humbol- L v pi v ps v is R i R s R a v si v sa v as v i v s v ai v a Differential equations R R R i s a v v pi ps v v a v i s v v is v sa is v v si v as si v v ai v ai sa v as Rate expressions?? v v v xy sa sa xy sa sa R x R R s s L b n Kb L K L n Mass action Hill inetics

8 Humbol- Receptor, Moel of Yi et al. +L v v v v v R i v v pi v i v is L R i R s R a ps ps s a sa as s a sa as * i v i* v si R s R R R v ps v s a s a L v sa v as v ai v a ps s a sa as Number of Molecules molecules per cell s s 3 s M 2 s s R a R s 2 3 Time

9 G-Proteins: small G-proteins Humbol- e.g. Ras-Protein GEF GTP GDP GDP GTP GDP Ras v GTP Ras GDP + + GTP P i v 2 GAP GEF Guanine nucleotie exchange factor GAP GTPase-activating protein Differential equations Conservation relations GDP GTP Ras v Ras v v v 2 2 Ras total GDP Ras GTP Ras

10 G-Proteins: small G-proteins Humbol- GDP Ras e.g. Ras-Protein GTP P i GEF v v 2 GAP GDP GTP Ras Differential equations GDP Ras v v2 GTP Ras v v2 Ras total GDP Ras GTP Ras Mass action v v 2 2 GDP GTP Ras GEF Ras GAP GTP GEF Ras Ras total GEF 2 GAP 2 ; Rastotal Michaelis Menten v v 2 GEF K 2 K m GAP m2 GDP GDP GTP GTP Ras Ras Ras Ras GTP Ras GTP Ras 2 ; Rastotal ; Km Km2 GEF or GAP = (const.), other varying from to GEF GAP Enzyme concentration GEF GAP Enzyme concentration

11 G-Proteins: small G-proteins Humbol- e.g. Ras-Protein GEF GTP GDP v v v 2 GEF K 2 K m GAP m2 GDP GDP GTP GTP Ras Ras Ras Ras GTP Ras GEF GAP GDP Ras v 2 GTP Ras 2 ; Rastotal ; Km Km Enzyme concentration P i GAP Differential equations GDP Ras v v2 GTP Ras v v2 sigmoial epenence Ultrasensitivity Switch-lie regulation GTP Ras K m K m 2. K m K m 2 Ras total GDP Ras GTP Ras Enzyme: GEF

12 G-Proteins: small G-proteins Humbol- e.g. Ras-Protein GEF GTP GDP GTP Ras K m K m 2. K m K m 2 v GDP Ras v 2 GTP Ras Enzym: GEF P i GAP GEF: x v v 2 K m GEF K 2 K 2 m GAP m2 K GDP GDP GTP GTP ; Ras m2 Ras Ras Ras Ras total. ; GTP Ras Zeit x=2.5 x=2. x=.5 x=. x=.5

13 active receptor GDP G GDP GTP GTP G v h slow GDP G P i v sr v ga v h fast P i RGS G-Protein G signal Number of Molecules GDP GDP G GTP + G GTP G Humbol- + GDP G Differential equations G G v ga v sr GTP v ga v v h h Conservation relations G total G t G G G G GTP G GDP 2 3 Time

14 Phosphorelay-System Humbol- - Transmits iniviual phosphate groups? Sln Asp P i high osmolarity 3 P i P i P His i ADP YpHis Yp-P 4 Ss-P SsAsp 5 2 ATP Sln Sln 3 SlnA P Yp Sln H P Sln SlnH P 2 SlnA P 2 SlnH P 3 SlnA P Yp Yp Yp Ss Ss 3 4 Yp P Ss SlnA P Yp 3 P 4 Yp P Ss SlnA P Yp 4 5 Ss P Yp P Ss 4 P 5 Ss P Yp P Ss Sln total Sln SlnH P SlnA P Example: Sln pathway, Phosphorelay system Yp total Ss total Yp Yp P Ss Ss P

15 Phosphorelay-System Humbol- A-P B C-P A A ATP 2 AP B B 2 B AP 3 BP C C 3 C BP 4 CP A AP A B BP B C CP C ADP ATP total total total P A B-P C Depenence of steay state values Of stress strength Temporal behavior, Stress no Stress A, B, C A, B, C Three component system Two components One component Time

16 Phosphorelay-System Humbol- A-P B C-P total v v 2 v 3 v 4 A B-P C A A ATP 2 AP B B 2 B AP 3 BP C C 3 C BP 4 CP A AP Atotal B BP Btotal C CP C Dynamics Steay State Concentration C Concentration, a.u...8 A B.6 C Time a.u =.4 = Rate constant 4

17 MAP Kinase Cascae = Mitogen activate protein inase cascae Humbol- Alternative: SAP = stress activate protein MAPKKKK MAPKKK inactive MAPKKK active MAPKK inactive MAPK inactive MAPKK active MAPK active Signal

18 Humbol- MAP Kinase Cascae - Equations ATP MAPKKKP ATP MAPKKKK MAPKKK MAPKKKP MAPKKKP ATP MAPKKKK MAPKKK MAPKKK 2 4 MAPKKPP ATP MAPKKKP MAPKKP MAPKKPP MAPKKP MAPKKPP ATP MAPKKKP MAPKKP ATP MAPKKKP MAPKK MAPKKP MAPKKP ATP MAPKKKP MAPKK MAPKK MAPKPP ATP MAPKKPP MAPKP MAPKPP MAPKP MAPKPP ATP MAPKKPP MAPKP ATP MAPKKPP MAPK MAPKP MAPKP ATP MAPKKPP MAPK MAPK 2 9 9

19 MAP Kinase Cascae - Equations Humbol- Kinase, p - Phosphatase A A S p AP APP AP p APP B B AP p BP BPP BP AP p BPP C C BPP p CP CPP CP BPP p CPP A AP APP A MAPKKK B BP BPP B C CP CPP C total total total MAPKKK MAPKKK total total total CPP S 4 Steay state S 4 A 4 total B 2 total C total S... S... S... S... p Sigmoiale epenence of concentration of activate MAP inase on concentration of input signal. CPP p

20 zu MAPK Cascae: Impact of Kinases an Phosphatase Humbol- Berlin MAPK-PP, a.u. MAPK-PP, a.u Time, a.u A B.9.8 = =3 =4 =5 p= p=.3 =2.2. = Time, a.u. MAPK-PP, a.u. MAPK-PP, a.u Time, a.u C D..2 p= p=.3 p=.4 p=.5 Kinase, p - Phosphatase p=.2 p=. = Time, a.u.

21 Humbol- MAP Kinase Cascae Parameter Depenence MAPKKK v v 7 MAPKKK P v MAPKKK P v2... MAPK P v7 v2 v8 2 v8 2 v6 v2 - Sigmoie input/output epenence - Signal amplification Kinase, p - Phosphatase Time courses Steay states MAPKP 2 (t) = =.64 =.36 =.6 = Time MAPKP MAPKKKK=. MAPKKKK= /p

22 Humbol- MAPK Cascae: Control P P, P, P 2 P P2, P2 P3, S v C i v S i S v i P3 3 P 2, P P 3, P 3 6 positive none negative Rates J v C j v J j J v j

23 Humbol- MAPK Cascae: Control with complex formation P P P, 2 P, P P, P PX P2, P P2, P2 P2X P3, P2 P3, P3 P3X positive none negative P, 4 3 P X X phosphatase P 5 6 P 2, P P 2, 8 7 P 2 X P 2 9 P 3, P 2 P 3, 2 P 3 X P Rates

24 MAPK-Cascae with Feebac an Michaelis-Menten Kinetics: Oscillations Humbol-

25 MAP Kinase Cascae Scaffoling Humbol- Ste5 Ste Ste7 Fus3 MAPKKK Scaffol MAPKK MAPK

26 Humbol- MAP Kinase Cascae Scaffoling Double Phosphorylation of each protein 2 2 Ste5 Ste Ste7 Fus

27 Quantitative Measures for Signaling Humbol- (a) P v f P, v r P v 2f P 2, P 2 v 2r v 3f P 3, P 3 v 3r (b) Concentration, a.u max t max P P S Time, a.u. Transition time i t X X i i t t i Signal uration t 2 X X i i t t 2 i S i Amplitue X i t 2 i Heinrich et al., T.A. Mol.Cell, 22

28 Crosstal in Signaling Pathways Humbol- Are signaling pathways linear structures? Are signals transmitte in signaling networs? How can we measure the transfer of signal between ifferent branches of the networ?

29 Crosstal & Signal Integration Humbol- Signal Signal Measures of crosstal Receptor A Receptor B X C X B A A A B B A B X S i X, X S e X, Target A Target B X function of amplitue, timing or integral of response Pheromone Pathway Filamentous Growth Pathway S e > S e < S i > Mutual signal inhibition Dominance of intrinsic signal Crossactivation Mutual signal amplification Crossinhibition Dominance of intrinsic signal S i < Dominance of extrinsic signal Mutual signal amplification

30 Crosstal Humbol-.3 left cascae.3 right cascae (a) = P A v Af P A, P A v Ar v 2Af P 2A, P 2A v 2Ar v 3Af P 3A, P 3A v 3Ar = P B v Bf P B, P B v Br v 2Bf P 2B, P 2B v 2Br v 3Bf P 3B, P 3B v 3Br Concentration a.u. Concentration a.u P A P 2A P 3A P 3A P A P 2A P B P 2B P 3B i = i = Concentration a.u P A P 2A P 3A Time a.u.3.2. P B P 2B P 3B Time a.u

31 Humbol-.3 Crosstal X S A i A SeA X, A X X A A, = P A v Af P A, P A v Ar v 2Af P 2A, P 2A v 2Ar v 3Af P 3A, P 3A v 3Ar = P B v Bf P B, P B v Br v 2Bf P 2B, P 2B v 2Br v 3Bf P 3B, P 3B v 3Br Concentration a.u. Concentration a.u P 2A P A P 3A P 3A P A P 2A I = P max = t max = I = P max = t max = Integrate Response S i (I) =.9 S e (I) =.97 Mutual amplification Maximal Response S i (P max ) =.97 S e (P max ) =.34 Mutual amplification i = i = Concentration a.u P 2A P A P 3A Time a.u I = P max =.3682 t max = Timing of Response S i (t max ) =.4 S e (t max ) =.97 Dominance of intrinsic signal

32 Integration of Signaling Pathways Humbol- PRE, large Responses: 5,7,9, Response coefficients of PREs FREs m@2d; PRE, meium Responses: 3,4,6,,,4 m@24d; FRE, meium Responses: 9,, m@2d; PRE, meium negative Responses: 7,9,2,8,2 m@24d; FRE, large negative Responses: 6,6,3,3,39 9 m@24d; FRE, plus minus Responses: 2,4,5,2,22 4 -Fus3 phosphorylation in MAPKcascae 6 -repeate Fus3 phosphorylation -Kss phosphorylation in MAPKcascae 2-Kss release from Ste2Tec complex S p R i l p S i l t Si p t l Time/min Time/min

33 Humbol- Yeast Signaling Pathways +Pheromone,,9,8,7,6,5,4,3,2,, Crosstal Opportunities,2,,8 +Pheromone +Salt,6,4,2, Salt,2,,8,6,4,2, Waltermann in prep., Hoffman-Sommer in prep. Fus3 Kss Hog

34 Humbol- Crosstal Moel

35 Humbol

36 Humbol- Hog activity as timer for filamentous ifferentiation uner exposure to simultaneous osmo-stress an nutrient-limitation Nutrient limitation only Nutrient limitation + osmostress Activity Osmo-stress an nutrient-limitation simultaneously: increase of Tec activity elaye (transcriptional activator of filamentation (FRE) genes) Time Nutrient limitation + osmostress Reuce crosstal from Hog to Tec Time Nutrient limitation + osmostress Reuce inhibition of Hog by Kss Activity Time Time In mutants with altere crosstal the timer function of Hog is isrupte or enhance.

37 Humbol- Pathway Interaction upon Cell Cycle Regulation

38 gtow Metho Humbol-

39 Growth Rates for Signal Pathway Mutants Humbol-

40 Humbol- gtow Sensitivity to Overexpression Krantz et a., MSB, 29

41 Ca 2+ oscillations Humbol- Cytosolic Ca2+ oscillations Spatio-temporal ynamics Control variety of cell processes

42 Calcium Oscillation - Equations Humbol-

43 Calcium Oscillation - Simulations Humbol- for ifferent parameter values Thul et al., 29

44 Ca 2+ oscillations Humbol- Interspie interval Calcium oscillations - limit cycle oscillations? - sequences of ranom spies? Problem: Channels form tetramers, tetramers form cluster.

45 Hierarchic stochastic moeling Ca 2+ oscillations Humbol- Thurley & Falce, PNAS, 2

Activation of a receptor. Assembly of the complex

Activation of a receptor. Assembly of the complex Activation of a receptor ligand inactive, monomeric active, dimeric When activated by growth factor binding, the growth factor receptor tyrosine kinase phosphorylates the neighboring receptor. Assembly

More information

Systems Biology Across Scales: A Personal View XIV. Intra-cellular systems IV: Signal-transduction and networks. Sitabhra Sinha IMSc Chennai

Systems Biology Across Scales: A Personal View XIV. Intra-cellular systems IV: Signal-transduction and networks. Sitabhra Sinha IMSc Chennai Systems Biology Across Scales: A Personal View XIV. Intra-cellular systems IV: Signal-transduction and networks Sitabhra Sinha IMSc Chennai Intra-cellular biochemical networks Metabolic networks Nodes:

More information

Reception The target cell s detection of a signal coming from outside the cell May Occur by: Direct connect Through signal molecules

Reception The target cell s detection of a signal coming from outside the cell May Occur by: Direct connect Through signal molecules Why Do Cells Communicate? Regulation Cells need to control cellular processes In multicellular organism, cells signaling pathways coordinate the activities within individual cells that support the function

More information

Regulation and signaling. Overview. Control of gene expression. Cells need to regulate the amounts of different proteins they express, depending on

Regulation and signaling. Overview. Control of gene expression. Cells need to regulate the amounts of different proteins they express, depending on Regulation and signaling Overview Cells need to regulate the amounts of different proteins they express, depending on cell development (skin vs liver cell) cell stage environmental conditions (food, temperature,

More information

Advanced Higher Biology. Unit 1- Cells and Proteins 2c) Membrane Proteins

Advanced Higher Biology. Unit 1- Cells and Proteins 2c) Membrane Proteins Advanced Higher Biology Unit 1- Cells and Proteins 2c) Membrane Proteins Membrane Structure Phospholipid bilayer Transmembrane protein Integral protein Movement of Molecules Across Membranes Phospholipid

More information

Supplement to: How Robust are Switches in Intracellular Signaling Cascades?

Supplement to: How Robust are Switches in Intracellular Signaling Cascades? Supplement to: How Robust are Switches in Intracellular Signaling Cascades? Nils Blüthgen and Hanspeter Herzel Institute for Theoretical Biology, Invalidenstrasse 43, D-10115 Berlin, Germany (Dated: January

More information

A modelling approach to quantify dynamic crosstalk between the pheromone and the starvation pathway in baker s yeast

A modelling approach to quantify dynamic crosstalk between the pheromone and the starvation pathway in baker s yeast A modelling approach to quantify dynamic crosstalk between the pheromone and the starvation pathway in baker s yeast Jörg Schaber 1, Bente Kofahl 2, Axel Kowald 1 and Edda Klipp 1 1 Max Planck Institute

More information

Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. Supplementary Information

Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data. Supplementary Information Inferring ynamic architecture of cellular networks using time series of gene expression, protein an metabolite ata Euaro Sontag, Anatoly Kiyatkin an Boris N. Kholoenko *, Department of Mathematics, Rutgers

More information

References on Kinetics and Mechanisms

References on Kinetics and Mechanisms References on Kinetics and Mechanisms Excellent reference for all aspects of enzyme kinetics including important elements of Metabolic Control Analysis of relevance to systems analysis of enzyme function

More information

Signal Transduction. Dr. Chaidir, Apt

Signal Transduction. Dr. Chaidir, Apt Signal Transduction Dr. Chaidir, Apt Background Complex unicellular organisms existed on Earth for approximately 2.5 billion years before the first multicellular organisms appeared.this long period for

More information

Chem Lecture 10 Signal Transduction

Chem Lecture 10 Signal Transduction Chem 452 - Lecture 10 Signal Transduction 111202 Here we look at the movement of a signal from the outside of a cell to its inside, where it elicits changes within the cell. These changes are usually mediated

More information

COMPUTER SIMULATION OF DIFFERENTIAL KINETICS OF MAPK ACTIVATION UPON EGF RECEPTOR OVEREXPRESSION

COMPUTER SIMULATION OF DIFFERENTIAL KINETICS OF MAPK ACTIVATION UPON EGF RECEPTOR OVEREXPRESSION COMPUTER SIMULATION OF DIFFERENTIAL KINETICS OF MAPK ACTIVATION UPON EGF RECEPTOR OVEREXPRESSION I. Aksan 1, M. Sen 2, M. K. Araz 3, and M. L. Kurnaz 3 1 School of Biological Sciences, University of Manchester,

More information

Richik N. Ghosh, Linnette Grove, and Oleg Lapets ASSAY and Drug Development Technologies 2004, 2:

Richik N. Ghosh, Linnette Grove, and Oleg Lapets ASSAY and Drug Development Technologies 2004, 2: 1 3/1/2005 A Quantitative Cell-Based High-Content Screening Assay for the Epidermal Growth Factor Receptor-Specific Activation of Mitogen-Activated Protein Kinase Richik N. Ghosh, Linnette Grove, and Oleg

More information

What is Systems Biology?

What is Systems Biology? What is Systems Biology? 1 ICBS 2008 - More than 1000 participants!! 2 Outline 1. What is Systems Biology? 2. Why a need for Systems Biology (motivation)? 3. Biological data suitable for conducting Systems

More information

Receptors and Ion Channels

Receptors and Ion Channels Receptors and Ion Channels Laurie Kellaway Senior Lecturer Department of Human Biology Laurie@curie.uct.ac.za Tel. +27 +21 4066 271 What are the two types of Neurotransmitter receptors Ionotropic receptors

More information

Zool 3200: Cell Biology Exam 5 4/27/15

Zool 3200: Cell Biology Exam 5 4/27/15 Name: Trask Zool 3200: Cell Biology Exam 5 4/27/15 Answer each of the following short answer questions in the space provided, giving explanations when asked to do so. Circle the correct answer or answers

More information

The EGF Signaling Pathway! Introduction! Introduction! Chem Lecture 10 Signal Transduction & Sensory Systems Part 3. EGF promotes cell growth

The EGF Signaling Pathway! Introduction! Introduction! Chem Lecture 10 Signal Transduction & Sensory Systems Part 3. EGF promotes cell growth Chem 452 - Lecture 10 Signal Transduction & Sensory Systems Part 3 Question of the Day: Who is the son of Sevenless? Introduction! Signal transduction involves the changing of a cell s metabolism or gene

More information

Study Guide 11 & 12 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Study Guide 11 & 12 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Study Guide 11 & 12 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) The receptors for a group of signaling molecules known as growth factors are

More information

Intercellular communication

Intercellular communication Intercellular communication Dewajani Purnomosari Department of Histology and Cell Biology Faculty of Medicine Universitas Gadjah Mada Outline General principle of intercellular communicabon Signal molecules

More information

Patrick: An Introduction to Medicinal Chemistry 5e Chapter 04

Patrick: An Introduction to Medicinal Chemistry 5e Chapter 04 01) Which of the following statements is not true about receptors? a. Most receptors are proteins situated inside the cell. b. Receptors contain a hollow or cleft on their surface which is known as a binding

More information

Signal Transduction Phosphorylation Protein kinases. Misfolding diseases. Protein Engineering Lysozyme variants

Signal Transduction Phosphorylation Protein kinases. Misfolding diseases. Protein Engineering Lysozyme variants Signal Transduction Phosphorylation Protein kinases Misfolding diseases Protein Engineering Lysozyme variants Cells and Signals Regulation The cell must be able to respond to stimuli Cellular activities

More information

Co-ordination occurs in multiple layers Intracellular regulation: self-regulation Intercellular regulation: coordinated cell signalling e.g.

Co-ordination occurs in multiple layers Intracellular regulation: self-regulation Intercellular regulation: coordinated cell signalling e.g. Gene Expression- Overview Differentiating cells Achieved through changes in gene expression All cells contain the same whole genome A typical differentiated cell only expresses ~50% of its total gene Overview

More information

BE 150 Problem Set #2 Issued: 16 Jan 2013 Due: 23 Jan 2013

BE 150 Problem Set #2 Issued: 16 Jan 2013 Due: 23 Jan 2013 M. Elowitz and R. M. Murray Winter 2013 CALIFORNIA INSTITUTE OF TECHNOLOGY Biology and Biological Engineering (BBE) BE 150 Problem Set #2 Issued: 16 Jan 2013 Due: 23 Jan 2013 1. (Shaping pulses; based

More information

return in class, or Rm B

return in class, or Rm B Last lectures: Genetic Switches and Oscillators PS #2 due today bf before 3PM return in class, or Rm. 68 371B Naturally occurring: lambda lysis-lysogeny decision lactose operon in E. coli Engineered: genetic

More information

Lecture 3 Regulation of Initiation: Met-tRNA-binding

Lecture 3 Regulation of Initiation: Met-tRNA-binding Institut für Biochemie und Molekulare Medizin Lecture 3 Regulation of Initiation: Met-tRNA-binding Michael Altmann FS 2010 Model of initiation eif4g eif4e AAA AAA PABP cap AAA AUG mrna eif4a eif4b ATP

More information

Unit 2: Cells Guided Reading Questions (60 pts total)

Unit 2: Cells Guided Reading Questions (60 pts total) Name: AP Biology Biology, Campbell and Reece, 7th Edition Adapted from chapter reading guides originally created by Lynn Miriello Chapter 6 A Tour of the Cell Unit 2: Cells Guided Reading Questions (60

More information

Biochemical bases for energy transformations. Biochemical bases for energy transformations. Nutrition 202 Animal Energetics R. D.

Biochemical bases for energy transformations. Biochemical bases for energy transformations. Nutrition 202 Animal Energetics R. D. Biochemical bases for energy transformations Biochemical bases for energy transformations Nutrition 202 Animal Energetics R. D. Sainz Lecture 02 Energy originally from radiant sun energy Captured in chemical

More information

PKA PKC. Reactions: Kf and Kb are in units of um and sec.

PKA PKC. Reactions: Kf and Kb are in units of um and sec. Notes on output: Molecules: Only non-zero intial concentrations are shown. All other values are generated in the course of the simulation. A value of 1 for Buffering indicates that the molecular concentration

More information

S1 Gene ontology (GO) analysis of the network alignment results

S1 Gene ontology (GO) analysis of the network alignment results 1 Supplementary Material for Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model Hyundoo Jeong 1, Xiaoning Qian 1 and

More information

Dynamic Stability of Signal Transduction Networks Depending on Downstream and Upstream Specificity of Protein Kinases

Dynamic Stability of Signal Transduction Networks Depending on Downstream and Upstream Specificity of Protein Kinases Dynamic Stability of Signal Transduction Networks Depending on Downstream and Upstream Specificity of Protein Kinases Bernd Binder and Reinhart Heinrich Theoretical Biophysics, Institute of Biology, Math.-Nat.

More information

arxiv:physics/ v3 [physics.bio-ph] 16 Sep 2003

arxiv:physics/ v3 [physics.bio-ph] 16 Sep 2003 Accepted for publication in Biophysical Chemistry Special Issue for Walter Kauzmann arxiv:physics/0207049v3 [physics.bio-ph] 16 Sep 2003 Thermodynamic and Kinetic Analysis of Sensitivity Amplification

More information

Visual pigments. Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2019

Visual pigments. Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2019 Visual pigments Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2019 References Webvision: The Organization of the Retina and Visual System (http://www.ncbi.nlm.nih.gov/books/nbk11522/#a 127) The

More information

Bioinformatics 3. V18 Kinetic Motifs. Fri, Jan 8, 2016

Bioinformatics 3. V18 Kinetic Motifs. Fri, Jan 8, 2016 Bioinformatics 3 V18 Kinetic Motifs Fri, Jan 8, 2016 Modelling of Signalling Pathways Curr. Op. Cell Biol. 15 (2003) 221 1) How do the magnitudes of signal output and signal duration depend on the kinetic

More information

CELB40060 Membrane Trafficking in Animal Cells. Prof. Jeremy C. Simpson. Lecture 2 COPII and export from the ER

CELB40060 Membrane Trafficking in Animal Cells. Prof. Jeremy C. Simpson. Lecture 2 COPII and export from the ER CELB40060 Membrane Trafficking in Animal Cells Prof. Jeremy C. Simpson Lecture 2 COPII and export from the ER Today s lecture... The COPII coat - localisation and subunits Formation of the COPII coat at

More information

Bioinformatics 3! V20 Kinetic Motifs" Mon, Jan 13, 2014"

Bioinformatics 3! V20 Kinetic Motifs Mon, Jan 13, 2014 Bioinformatics 3! V20 Kinetic Motifs" Mon, Jan 13, 2014" Modelling of Signalling Pathways" Curr. Op. Cell Biol. 15 (2003) 221" 1) How do the magnitudes of signal output and signal duration depend on the

More information

Mathematical Models for Quorum Sensing in. both Vibrio harveyi and Pseudomonas aeruginosa.

Mathematical Models for Quorum Sensing in. both Vibrio harveyi and Pseudomonas aeruginosa. Mathematical Models for Quorum Sensing in Vibrio harveyi and Pseudomonas aeruginosa Kaytlin Brinker University of Michigan Ann Arbor, Michigan 48109 Email: kbrink@umich.edu Jack Waddell University of Michigan

More information

56:198:582 Biological Networks Lecture 11

56:198:582 Biological Networks Lecture 11 56:198:582 Biological Networks Lecture 11 Network Motifs in Signal Transduction Networks Signal transduction networks Signal transduction networks are composed of interactions between signaling proteins.

More information

Molecular Cell Biology 5068 In Class Exam 2 November 8, 2016

Molecular Cell Biology 5068 In Class Exam 2 November 8, 2016 Molecular Cell Biology 5068 In Class Exam 2 November 8, 2016 Exam Number: Please print your name: Instructions: Please write only on these pages, in the spaces allotted and not on the back. Write your

More information

Energy Transformation, Cellular Energy & Enzymes (Outline)

Energy Transformation, Cellular Energy & Enzymes (Outline) Energy Transformation, Cellular Energy & Enzymes (Outline) Energy conversions and recycling of matter in the ecosystem. Forms of energy: potential and kinetic energy The two laws of thermodynamic and definitions

More information

Supporting Information. Methods. Equations for four regimes

Supporting Information. Methods. Equations for four regimes Supporting Information A Methods All analytical expressions were obtained starting from quation 3, the tqssa approximation of the cycle, the derivation of which is discussed in Appendix C. The full mass

More information

From Petri Nets to Differential Equations An Integrative Approach for Biochemical Network Analysis

From Petri Nets to Differential Equations An Integrative Approach for Biochemical Network Analysis From Petri Nets to Differential Equations An Integrative Approach for Biochemical Network Analysis David Gilbert drg@brc.dcs.gla.ac.uk Bioinformatics Research Centre, University of Glasgow and Monika Heiner

More information

Study of Tricyclic Cascade Networks using Dynamic Optimization

Study of Tricyclic Cascade Networks using Dynamic Optimization Study of Tricyclic Cascade Networks using Dynamic Optimization Systems Biology interdisciplinary field that focuses on the systematic study of complex interactions in biological systems Signal transduction

More information

Name Period The Control of Gene Expression in Prokaryotes Notes

Name Period The Control of Gene Expression in Prokaryotes Notes Bacterial DNA contains genes that encode for many different proteins (enzymes) so that many processes have the ability to occur -not all processes are carried out at any one time -what allows expression

More information

Cytokines regulate interactions between cells of the hemapoietic system

Cytokines regulate interactions between cells of the hemapoietic system Cytokines regulate interactions between cells of the hemapoietic system Some well-known cytokines: Erythropoietin (Epo) G-CSF Thrombopoietin IL-2 INF thrombopoietin Abbas et al. Cellular & Molecular Immunology

More information

CELL BIOLOGY - CLUTCH CH. 9 - TRANSPORT ACROSS MEMBRANES.

CELL BIOLOGY - CLUTCH CH. 9 - TRANSPORT ACROSS MEMBRANES. !! www.clutchprep.com K + K + K + K + CELL BIOLOGY - CLUTCH CONCEPT: PRINCIPLES OF TRANSMEMBRANE TRANSPORT Membranes and Gradients Cells must be able to communicate across their membrane barriers to materials

More information

A simple mathematical model of adaptation to high osmolarity in yeast

A simple mathematical model of adaptation to high osmolarity in yeast A simple mathematical model of adaptation to high osmolarity in yeast Peter Gennemark 1, Bodil Nordlander 2, Stefan Hohmann 2 and Dag Wedelin 1 1. Department of Computer Science and Engineering Chalmers

More information

4.3 Intracellular calcium dynamics

4.3 Intracellular calcium dynamics coupled equations: dv dv 2 dv 3 dv 4 = i + I e A + g,2 (V 2 V ) = i 2 + g 2,3 (V 3 V 2 )+g 2, (V V 2 )+g 2,4 (V 4 V 2 ) = i 3 + g 3,2 (V 2 V 3 ) = i 4 + g 4,2 (V 2 V 4 ) This can be written in matrix/vector

More information

Alaa' Alajrami. Hussam Twaissi. Mohammad khatatbeh

Alaa' Alajrami. Hussam Twaissi. Mohammad khatatbeh 6 Alaa' Alajrami Hussam Twaissi Mohammad khatatbeh Keep smiling stay beautiful,,, We will continue talking about cell membrane and what cause the potential across it. * Proton depended carrier: (secondary

More information

CHAPTER 8. An Introduction to Metabolism

CHAPTER 8. An Introduction to Metabolism CHAPTER 8 An Introduction to Metabolism WHAT YOU NEED TO KNOW: Examples of endergonic and exergonic reactions. The key role of ATP in energy coupling. That enzymes work by lowering the energy of activation.

More information

Visual pigments. Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2015

Visual pigments. Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2015 Visual pigments Neuroscience, Biochemistry Dr. Mamoun Ahram Third year, 2015 References Photoreceptors and visual pigments Webvision: The Organization of the Retina and Visual System (http://www.ncbi.nlm.nih.gov/books/nbk11522/#a127)

More information

Heterotrimeric G proteins and the role of lipids in signaling. John Sondek, Ph.D. Depts. of Pharmacology and Biochemistry & Biophyscis

Heterotrimeric G proteins and the role of lipids in signaling. John Sondek, Ph.D. Depts. of Pharmacology and Biochemistry & Biophyscis Heterotrimeric G proteins and the role of lipids in signaling John Sondek, Ph.D. Depts. of Pharmacology and Biochemistry & Biophyscis The GTPase cycle molecular switch A GTPases is NOT a kinase Two major

More information

Student Learning Outcomes: Nucleus distinguishes Eukaryotes from Prokaryotes

Student Learning Outcomes: Nucleus distinguishes Eukaryotes from Prokaryotes 9 The Nucleus Student Learning Outcomes: Nucleus distinguishes Eukaryotes from Prokaryotes Explain general structures of Nuclear Envelope, Nuclear Lamina, Nuclear Pore Complex Explain movement of proteins

More information

Signaling Proteins: Mechanical Force Generation by G-proteins G

Signaling Proteins: Mechanical Force Generation by G-proteins G Signaling Proteins: Mechanical Force Generation by G-proteins G Ioan Kosztin Beckman Institute University of Illinois at Urbana-Champaign Collaborators: Robijn Bruinsma (Leiden & UCLA) Paul O Lague (UCLA)

More information

Supplementary Table 3. Membrane/Signaling/Neural Genes of the DmSP. FBgn CG5265 acetyltransferase amino acid metabolism

Supplementary Table 3. Membrane/Signaling/Neural Genes of the DmSP. FBgn CG5265 acetyltransferase amino acid metabolism Supplementary Table 3 Membrane/Signaling/Neural Genes of the DmSP FlyBase ID Gene Name Molecular function summary Membrane Biological process summary FBgn0038486 CG5265 acetyltransferase amino acid metabolism

More information

Metabolism and enzymes

Metabolism and enzymes Metabolism and enzymes 4-11-16 What is a chemical reaction? A chemical reaction is a process that forms or breaks the chemical bonds that hold atoms together Chemical reactions convert one set of chemical

More information

Cell Biology Review. The key components of cells that concern us are as follows: 1. Nucleus

Cell Biology Review. The key components of cells that concern us are as follows: 1. Nucleus Cell Biology Review Development involves the collective behavior and activities of cells, working together in a coordinated manner to construct an organism. As such, the regulation of development is intimately

More information

Membrane Physiology. Dr. Hiwa Shafiq Oct-18 1

Membrane Physiology. Dr. Hiwa Shafiq Oct-18 1 Membrane Physiology Dr. Hiwa Shafiq 22-10-2018 29-Oct-18 1 Chemical compositions of extracellular and intracellular fluids. 29-Oct-18 2 Transport through the cell membrane occurs by one of two basic processes:

More information

Introduction to electrophysiology. Dr. Tóth András

Introduction to electrophysiology. Dr. Tóth András Introduction to electrophysiology Dr. Tóth András Topics Transmembran transport Donnan equilibrium Resting potential Ion channels Local and action potentials Intra- and extracellular propagation of the

More information

Chapter 8: An Introduction to Metabolism

Chapter 8: An Introduction to Metabolism Chapter 8: An Introduction to Metabolism Key Concepts 8.1 An organism s metabolism transforms matter and energy, subject to the laws of thermodynamics 8.2 The free-energy change of a reaction tells us

More information

Cell-Cell Communication in Development

Cell-Cell Communication in Development Biology 4361 - Developmental Biology Cell-Cell Communication in Development October 2, 2007 Cell-Cell Communication - Topics Induction and competence Paracrine factors inducer molecules Signal transduction

More information

A Structured Approach Part IV. Model Checking in Systems and Synthetic Biology

A Structured Approach Part IV. Model Checking in Systems and Synthetic Biology A Structured Approach Part IV Model Checking in Systems and Synthetic Biology Robin Donaldson Bioinformatics Research Centre University of Glasgow, Glasgow, UK Model Checking - ISMB08 1 Outline Introduction

More information

MOLECULAR DRUG TARGETS

MOLECULAR DRUG TARGETS MOLECULAR DRUG TARGETS LEARNING OUTCOMES At the end of this session student shall be able to: List different types of druggable targets Describe forces involved in drug-receptor interactions Describe theories

More information

Cytokinin. Fig Cytokinin needed for growth of shoot apical meristem. F Cytokinin stimulates chloroplast development in the dark

Cytokinin. Fig Cytokinin needed for growth of shoot apical meristem. F Cytokinin stimulates chloroplast development in the dark Cytokinin Abundant in young, dividing cells Shoot apical meristem Root apical meristem Synthesized in root tip, developing embryos, young leaves, fruits Transported passively via xylem into shoots from

More information

Lecture 7: Two State Systems: From Ion Channels To Cooperative Binding

Lecture 7: Two State Systems: From Ion Channels To Cooperative Binding Lecture 7: Two State Systems: From Ion Channels To Cooperative Binding Lecturer: Brigita Urbanc Office: 12 909 (E mail: brigita@drexel.edu) Course website: www.physics.drexel.edu/~brigita/courses/biophys_2011

More information

Computational Biology 1

Computational Biology 1 Computational Biology 1 Protein Function & nzyme inetics Guna Rajagopal, Bioinformatics Institute, guna@bii.a-star.edu.sg References : Molecular Biology of the Cell, 4 th d. Alberts et. al. Pg. 129 190

More information

Gene regulation I Biochemistry 302. Bob Kelm February 25, 2005

Gene regulation I Biochemistry 302. Bob Kelm February 25, 2005 Gene regulation I Biochemistry 302 Bob Kelm February 25, 2005 Principles of gene regulation (cellular versus molecular level) Extracellular signals Chemical (e.g. hormones, growth factors) Environmental

More information

Problem Set # 3

Problem Set # 3 20.320 Problem Set # 3 October 1 st, 2010 Due on October 8 th, 2010 at 11:59am. No extensions, no electronic submissions. General Instructions: 1. You are expected to state all your assumptions and provide

More information

An Integrative Model of Ion Regulation in Yeast

An Integrative Model of Ion Regulation in Yeast An Integrative Model of Ion Regulation in Yeast Ruian Ke 1,2 a *, Piers J. Ingram 1,2, Ken Haynes 3 b 1 Department of Mathematics, Imperial College London, London, United Kingdom, 2 Centre for Integrative

More information

Importance of Protein sorting. A clue from plastid development

Importance of Protein sorting. A clue from plastid development Importance of Protein sorting Cell organization depend on sorting proteins to their right destination. Cell functions depend on sorting proteins to their right destination. Examples: A. Energy production

More information

Design Principles of a Bacterial Signalling Network

Design Principles of a Bacterial Signalling Network Design Principles of a Bacterial Signalling Network Why is chemotaxis more complicated than needed? Jens Timmer Freiburg Institute for Advanced Studies Center for Systems Biology Center for Data Analysis

More information

CELL CYCLE AND DIFFERENTIATION

CELL CYCLE AND DIFFERENTIATION CELL CYCLE AND DIFFERENTIATION Dewajani Purnomosari Department of Histology and Cell Biology Faculty of Medicine Universitas Gadjah Mada d.purnomosari@ugm.ac.id WHAT IS CELL CYCLE? 09/12/14 d.purnomosari@ugm.ac.id

More information

Organisms: We will need to have some examples in mind for our spherical cows.

Organisms: We will need to have some examples in mind for our spherical cows. Lecture 4: Structure and Composition (Sept. 15) 4.1 Reading Assignment for Lectures 3-4: Phillips, Kondev, Theriot (PKT), Chapter 2 Problem Set 1 (due Sept. 24) now posted on the website. Cellular materials:

More information

Chapter 6- An Introduction to Metabolism*

Chapter 6- An Introduction to Metabolism* Chapter 6- An Introduction to Metabolism* *Lecture notes are to be used as a study guide only and do not represent the comprehensive information you will need to know for the exams. The Energy of Life

More information

A mechanistic study of evolvability using the mitogen-activated protein kinase cascade

A mechanistic study of evolvability using the mitogen-activated protein kinase cascade EVOLUTION & DEVELOPMENT 5:3, 81 94 (003) A mechanistic study of evolvability using the mitogen-activated protein kinase cascade H. F. Nijhout,* A. M. Berg, and W. T. Gibson Department of Biology, Duke

More information

State Machine Modeling of MAPK Signaling Pathways

State Machine Modeling of MAPK Signaling Pathways State Machine Modeling of MAPK Signaling Pathways Youcef Derbal Ryerson University yderbal@ryerson.ca Abstract Mitogen activated protein kinase (MAPK) signaling pathways are frequently deregulated in human

More information

Basic Synthetic Biology circuits

Basic Synthetic Biology circuits Basic Synthetic Biology circuits Note: these practices were obtained from the Computer Modelling Practicals lecture by Vincent Rouilly and Geoff Baldwin at Imperial College s course of Introduction to

More information

BMB Lecture 7. Allostery and Cooperativity

BMB Lecture 7. Allostery and Cooperativity BMB 178 2017 Lecture 7 October 18, 2017 Allostery and Cooperativity A means for exquisite control Allostery: the basis of enzymatic control From the Greek: allos = other stereos = solid or space Action

More information

Overview of Kinetics

Overview of Kinetics Overview of Kinetics [P] t = ν = k[s] Velocity of reaction Conc. of reactant(s) Rate of reaction M/sec Rate constant sec -1, M -1 sec -1 1 st order reaction-rate depends on concentration of one reactant

More information

MAP Kinase Pathways in the Yeast Saccharomyces cerevisiae

MAP Kinase Pathways in the Yeast Saccharomyces cerevisiae MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, Dec. 1998, p. 1264 1300 Vol. 62, No. 4 1092-2172/98/$04.00 0 Copyright 1998, American Society for Microbiology. All Rights Reserved. MAP Kinase Pathways in the

More information

Plant Molecular and Cellular Biology Lecture 8: Mechanisms of Cell Cycle Control and DNA Synthesis Gary Peter

Plant Molecular and Cellular Biology Lecture 8: Mechanisms of Cell Cycle Control and DNA Synthesis Gary Peter Plant Molecular and Cellular Biology Lecture 8: Mechanisms of Cell Cycle Control and DNA Synthesis Gary Peter 9/10/2008 1 Learning Objectives Explain why a cell cycle was selected for during evolution

More information

Reprogramming what is it? ips. neurones cardiomyocytes. Takahashi K & Yamanaka S. Cell 126, 2006,

Reprogramming what is it? ips. neurones cardiomyocytes. Takahashi K & Yamanaka S. Cell 126, 2006, General Mechanisms of Cell Signaling Signaling to Cell Nucleus MUDr. Jan láteník, hd. Somatic cells can be reprogrammed to pluripotent stem cells! fibroblast Reprogramming what is it? is neurones cardiomyocytes

More information

7.013 Problem Set

7.013 Problem Set 7.013 Problem Set 5-2013 Question 1 During a summer hike you suddenly spot a huge grizzly bear. This emergency situation triggers a fight or flight response through a signaling pathway as shown below.

More information

Domain 6: Communication

Domain 6: Communication Domain 6: Communication 6.1: Cell communication processes share common features that reflect a shared evolutionary history. (EK3.D.1) 1. Introduction to Communication Communication requires the generation,

More information

Problem Set 2. 1 Competitive and uncompetitive inhibition (12 points) Systems Biology (7.32/7.81J/8.591J)

Problem Set 2. 1 Competitive and uncompetitive inhibition (12 points) Systems Biology (7.32/7.81J/8.591J) Problem Set 2 1 Competitive and uncompetitive inhibition (12 points) a. Reversible enzyme inhibitors can bind enzymes reversibly, and slowing down or halting enzymatic reactions. If an inhibitor occupies

More information

Introduction to electrophysiology 1. Dr. Tóth András

Introduction to electrophysiology 1. Dr. Tóth András Introduction to electrophysiology 1. Dr. Tóth András Topics Transmembran transport Donnan equilibrium Resting potential Ion channels Local and action potentials Intra- and extracellular propagation of

More information

Lecture 4. Protein Translocation & Nucleocytoplasmic Transport

Lecture 4. Protein Translocation & Nucleocytoplasmic Transport Lecture 4 Protein Translocation & Nucleocytoplasmic Transport Chapter 12 MBoC (5th Edition) Alberts et al. Reference paper: Tran and Wente, Cell 125, 1041-1053, 2006 2/8/2012 1 Page 713 Molecular Biology

More information

Stochastic modeling of intracellular signaling and regulation

Stochastic modeling of intracellular signaling and regulation Stochastic modeling of intracellular signaling and regulation Cover: Intracellular signaling can be regarded as messages in molecular bottles. Many different types of those molecular bottles are floating

More information

Lectures by Kathleen Fitzpatrick

Lectures by Kathleen Fitzpatrick Chapter 10 Chemotrophic Energy Metabolism: Aerobic Respiration Lectures by Kathleen Fitzpatrick Simon Fraser University Figure 10-1 Figure 10-6 Conversion of pyruvate The conversion of pyruvate to acetyl

More information

Mathematical Models of Specificity in Cell Signaling

Mathematical Models of Specificity in Cell Signaling Biophysical Journal Volume 9 May 007 345 3441 345 Mathematical Models of Specificity in Cell Signaling Lee Bardwell,* Xiufen Zou, y Qing Nie, y and Natalia L. Komarova yz *Department of Developmental and

More information

Biological Pathways Representation by Petri Nets and extension

Biological Pathways Representation by Petri Nets and extension Biological Pathways Representation by and extensions December 6, 2006 Biological Pathways Representation by and extension 1 The cell Pathways 2 Definitions 3 4 Biological Pathways Representation by and

More information

Chapter 8 Notes. An Introduction to Metabolism

Chapter 8 Notes. An Introduction to Metabolism Chapter 8 Notes An Introduction to Metabolism Describe how allosteric regulators may inhibit or stimulate the activity of an enzyme. Objectives Distinguish between the following pairs of terms: catabolic

More information

Lecture #8 9/21/01 Dr. Hirsh

Lecture #8 9/21/01 Dr. Hirsh Lecture #8 9/21/01 Dr. Hirsh Types of Energy Kinetic = energy of motion - force x distance Potential = stored energy In bonds, concentration gradients, electrical potential gradients, torsional tension

More information

7.32/7.81J/8.591J. Rm Rm (under construction) Alexander van Oudenaarden Jialing Li. Bernardo Pando. Rm.

7.32/7.81J/8.591J. Rm Rm (under construction) Alexander van Oudenaarden Jialing Li. Bernardo Pando. Rm. Introducing... 7.32/7.81J/8.591J Systems Biology modeling biological networks Lectures: Recitations: ti TR 1:00-2:30 PM W 4:00-5:00 PM Rm. 6-120 Rm. 26-204 (under construction) Alexander van Oudenaarden

More information

Introduction to Bioinformatics

Introduction to Bioinformatics CSCI8980: Applied Machine Learning in Computational Biology Introduction to Bioinformatics Rui Kuang Department of Computer Science and Engineering University of Minnesota kuang@cs.umn.edu History of Bioinformatics

More information

ENZYME KINETICS. Medical Biochemistry, Lecture 24

ENZYME KINETICS. Medical Biochemistry, Lecture 24 ENZYME KINETICS Medical Biochemistry, Lecture 24 Lecture 24, Outline Michaelis-Menten kinetics Interpretations and uses of the Michaelis- Menten equation Enzyme inhibitors: types and kinetics Enzyme Kinetics

More information

Written Exam 15 December Course name: Introduction to Systems Biology Course no

Written Exam 15 December Course name: Introduction to Systems Biology Course no Technical University of Denmark Written Exam 15 December 2008 Course name: Introduction to Systems Biology Course no. 27041 Aids allowed: Open book exam Provide your answers and calculations on separate

More information

Identification number: TÁMOP /1/A

Identification number: TÁMOP /1/A Manifestation of Novel Social Challenges of the European Union in the Teaching Material of Medical Biotechnology Master s Programmes at the University of Pécs and at the University of Debrecen Identification

More information

Prokaryotic Gene Expression (Learning Objectives)

Prokaryotic Gene Expression (Learning Objectives) Prokaryotic Gene Expression (Learning Objectives) 1. Learn how bacteria respond to changes of metabolites in their environment: short-term and longer-term. 2. Compare and contrast transcriptional control

More information

BMB Lecture 7. Allostery and Cooperativity. A means for exquisite control

BMB Lecture 7. Allostery and Cooperativity. A means for exquisite control BMB 178 2018 Lecture 7 Allostery and Cooperativity A means for exquisite control Allostery: the basis of enzymatic control From the Greek: allos = other stereos = solid or space Action at a distance Examples

More information

38050 Povo Trento (Italy), Via Sommarive 14 CAUSAL P-CALCULUS FOR BIOCHEMICAL MODELLING

38050 Povo Trento (Italy), Via Sommarive 14  CAUSAL P-CALCULUS FOR BIOCHEMICAL MODELLING UNIVERSITY OF TRENTO DEPARTMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY 38050 Povo Trento (Italy), Via Sommarive 14 http://www.dit.unitn.it CAUSAL P-CALCULUS FOR BIOCHEMICAL MODELLING M. Curti, P.

More information