Theoretical Perspectives on Biomolecular Condensates

Size: px
Start display at page:

Download "Theoretical Perspectives on Biomolecular Condensates"

Transcription

1 JBB 2026H Lecture 7 (2nd half) Hue Sun Chan Department of Biochemistry October 26, 2018 University of Toronto Theoretical Perspectives on Biomolecular Condensates

2 Intracellular Biomolecular Condensates or Membraneless Organelles are organizers of biochemistry Image from: Banani, Lee, Hyman & Rosen, Nat Rev Mol Cell Biol 2017

3 Theory and Computational Simulation of Multiple-Chain Systems Rubber elasticity: An application of the Gaussian chain theory Figure Credit: Pomès Group, The Hospital for Sick Children & University of Toronto

4 Note: R = k B (Avogadro #) where

5

6 Figure from: Rauscher & Pomès, Structural disorder and protein elasticity. In: Fuzziness: Structural Disorder in Protein Complexes. Edited by Fuxreiter & Tompa. Springer (2012).

7 Mean-field Flory-Huggins Theory addresses sequence composition of intrinsically disordered proteins (IDPs) such as overall hydrophobicity but not other encoded information such as hydrophobic & charge patterns, etc. in the sequence. Mean-field refers to approximations in which some fluctuations/variations in IDP concentrations and/or sequence-dependent interactions, etc., are averaged/smeared over.

8 Flory-Huggins uses a conceptual (non-explicit) lattice argument z = lattice coordination number # of ways of placing the first bead of the first chain = V # of ways of placing the second bead = (z 1) (probability that the site is not occupied). This probability is given by (V 1)/V in the mean-field approximation B Therefore, the # of ways of placing the entire first chain in this approximation is [(z 1)(V 1)/V][(z 1)(V 2)/V] [(z 1) (V m+1)] = [V!/(V m)!][(z 1)/V] m-1 The N chains are identical = total solvent volume Then repeat the argument for the other N 1 chains.

9

10 When b solvent (s), m b = 1, a p (polymer/protein), ϕ s = 1 ϕ p, the contact free energy per unit volume in the mixed state E/V=z [ε pp ϕ p 2 /2 + ε ss (1 ϕ p ) 2 /2 + ε ps ϕ p (1 ϕ p )], whereas the contact free energy per unit volume in the unmixed state =z [ε pp ϕ p /2 + ε ss (1 ϕ p ) /2]. E/V=z ( ) B Hence the contact free energy per unit volume = (former) (latter) = Δ H mix /V = k B T χ ϕ p (1 ϕ p )

11

12 Depending on the IDP sequence, phase separation can be induced by an increase or a decrease in temperature Dill, Hutchinson & Alonso 1989 LCST example: tropoelastin = χ -1 (T) Lin, Forman-Kay & Chan, Biochemistry 57: (2018) Image Credit: Muiznieks & Keeley 2013 Study.com

13 Binodal and Spinodal Phase Separations Binodal (Local) Phase Separation, Droplets Spinodal region lies inside the coexistence region Single-phase globally unstable Spinodal (Global) Phase Separation, Spinodal Decomposition

14 Theoretical Formulations Available at Various Levels of Structural and Energetic Details IDP phase separation is sequence dependent : not only depends on composition Flory-Huggins Overbeek-Voorn RPA Advanced Theory Explicit-Chain Random Phase Approximation (RPA) is an analytical theory of sequence-dependent polyampholyte (polymer chains with both + and charges) phase separation Lin, Forman-Kay & Chan, Biochemistry 57: (2018)

15 RNA helicase Ddx4: Wildtype forms condensates in cell or in vitro, but a charge-scrambled mutant does not Sequence-dependent RPA theory captures this trend: (theoretical units) Temperature T* binodal spinodal Nott et al., Forman-Kay & Baldwin, Mol Cell (2015) Protein volume fraction ϕ m Spinodal decomposition in Ddx4 N1 drying experiment Lin, Forman-Kay & Chan, Phys Rev Lett (2016); Lin, Song, Forman-Kay & Chan, J Mol Liquids (2017)

16 Sequence charge pattern parameters align well with RPA-predicted phase separation propensity Sawle & Ghosh, J Chem Phys (2015) Das & Pappu, PNAS (2013) beyond simple blockiness? same number of + and charges Das & Pappu, PNAS, 2013 Y.-H. Lin & H.S. Chan, Biophys J (2017)

17 Single-chain conformational compactness and multiple-chain phase separation are favored by similar block-like charge patterns that promote sequence-nonlocal attraction Y.-H. Lin & H.S. Chan, Biophys J (2017)

18 Phase Separation as a Mechanism for Homeostasis Compositions of the phase-separated states are less varied than the underlying bulk concentrations Lin, Forman-Kay & Chan, Biochemistry 57: (2018)

19 How do different IDPs find one another to from the many separate intracellular compartments and subcompartments? Why don t they all condense together into a large gemisch? FIB1 NPM1 A multivalent, stochastic, fuzzy mode of molecular recognition? nucleoli Image credit: Marina Feric & Cliff Brangwynne, Princeton University. From: New J Phys Focus on Phase Transitions in Cells: From Metastable Droplets to Cytoplasmic Assemblies

20 The Binary Phase Diagram (Pattern of Coexistence) for a Pair of Polyampholytes Varies Significantly with the Charge Patterns Along their Sequences SCD 1 SCD 2 = 1.01 SCD 1 SCD 2 = 8.62 SCD 1 SCD 2 = The two IDP components co-mix when their charge patterns are similar (as measured by κ or SCD); de-mix when their charge patterns are dissimilar. Lin, Brady, Forman-Kay & Chan, New J Phys (2017)

21 Assessing analytical theories and rationalizing experiments by explicit-chain simulations 500 Cα-chains Below T cr : Above T cr : Marginal? : Das, Amin, Lin & Chan, q-bio-arxiv: (2018) See also: Das, Eisen, Lin & Chan, J Phys Chem B 2018, Dignon, Zheng, Kim, Best & Mittal, PLoS Comput Biol 2018; Silmore, Howard & Panagiotopoulos, Mol Phys 2017

22 Current sequence charge pattern parameters are predictive of simulated phase behaviors to a certain degree for some polyampholyte sequences Fully charged sequences with more blocky charge patterns have higher UCSTs (upper critical solution temperatures), i.e., higher propensities to phase separate. Simulated results from: Das, Amin, Lin & Chan, q-bio-arxiv: (2018)

23 Applications of the residue-based model Correlation between single-chain collapse and multiple-chain phase separation propensities (cf. Lin & Chan) Lower phase separation propensities of FUS variants with phosphomimetic mutations (as in experiment). Dignon et al., PLoS Comput Biol 14:e (2018) Dignon et al., PNAS (2018) doi.org/ /pnas

24 Lattice Models in which each lattice site (bead) represents a multiple-residue group/domain, beads are connected by disordered linkers Example ( experimental system studied in the Mike Rosen lab): i.e., poly-(proline-rich module) Results and figures from: Harmon, Holehouse & Pappu, New J Phys 20: (2018); see also Feric et al., Cell 165:1686 (2016) and Harmon et al., elife 6:e30294 (2017).

25 More complex scenarios with liquid-liquid, liquid-gel, and gel-gel phase separations Illustrative example using the extended FH theory of Semenov & Rubinstein [Macromolecules 31:1373 (1998)], with N = 100, # of stickers/chain = f = 5. [cf. lattice model of Harmon, Holehouse, Rosen & Pappu, elife 6:e30294 (2017)] Figure from: Lin, Forman-Kay & Chan, Biochemistry 57: (2018)

Conformational Heterogeneity and Theories of Sequence-Specific Liquid-Liquid Phase Coexistence of Intrinsically Disordered Proteins

Conformational Heterogeneity and Theories of Sequence-Specific Liquid-Liquid Phase Coexistence of Intrinsically Disordered Proteins IDP2017 IISER Mohali December 12, 2017 Conformational Heterogeneity and Theories of Sequence-Specific Liquid-Liquid Phase Coexistence of Intrinsically Disordered Proteins ह स न च न Hue Sun Chan ਹ ਸ ਨ ਚ

More information

Conformational Heterogeneity and Organelle-Like Liquid-Liquid Phase Separation of Intrinsically Disordered Proteins

Conformational Heterogeneity and Organelle-Like Liquid-Liquid Phase Separation of Intrinsically Disordered Proteins Hue Sun Chan Departments of Biochemistry and Molecular Genetics University of Toronto, Ontario M5S 1A8 Canada http://biochemistry.utoronto.ca/person/hue-sun-chan/ iip - Natal Phys & Biol of Proteins June

More information

Physics of Protein Evolutionary Switches and Phase Separation in Membraneless Organelles

Physics of Protein Evolutionary Switches and Phase Separation in Membraneless Organelles HKUST IAS School of Science January 3, 2017 Physics of Protein Evolutionary Switches and Phase Separation in Membraneless Organelles Hue Sun Chan Departments of Biochemistry and Molecular Genetics University

More information

Many proteins spontaneously refold into native form in vitro with high fidelity and high speed.

Many proteins spontaneously refold into native form in vitro with high fidelity and high speed. Macromolecular Processes 20. Protein Folding Composed of 50 500 amino acids linked in 1D sequence by the polypeptide backbone The amino acid physical and chemical properties of the 20 amino acids dictate

More information

Chap. 2. Polymers Introduction. - Polymers: synthetic materials <--> natural materials

Chap. 2. Polymers Introduction. - Polymers: synthetic materials <--> natural materials Chap. 2. Polymers 2.1. Introduction - Polymers: synthetic materials natural materials no gas phase, not simple liquid (much more viscous), not perfectly crystalline, etc 2.3. Polymer Chain Conformation

More information

arxiv: v2 [q-bio.bm] 21 Sep 2016

arxiv: v2 [q-bio.bm] 21 Sep 2016 Sequence-specific polyampholyte phase separation in membraneless organelles Yi-Hsuan Lin, 1,2 Julie D. Forman-Kay, 2,1 and Hue Sun Chan 1,3 1 Department of Biochemistry, University of Toronto, 1 King s

More information

Chapter 4 Polymer solutions

Chapter 4 Polymer solutions Chapter 4 Polymer solutions 4.1 Introduction Solution: any phase containing more than one component.(gas, liquid or solid) Polymer solution is important: Classical analyses of polymers are conducted on

More information

An intracellular phase transition drives nucleolar assembly and size control

An intracellular phase transition drives nucleolar assembly and size control An intracellular phase transition drives nucleolar assembly and size control Steph Weber Department of Biology McGill University Membranes spatially organize eukaryotic cells Cells also contain membraneless

More information

PHASE TRANSITIONS IN SOFT MATTER SYSTEMS

PHASE TRANSITIONS IN SOFT MATTER SYSTEMS OUTLINE: Topic D. PHASE TRANSITIONS IN SOFT MATTER SYSTEMS Definition of a phase Classification of phase transitions Thermodynamics of mixing (gases, polymers, etc.) Mean-field approaches in the spirit

More information

+ kt φ P N lnφ + φ lnφ

+ kt φ P N lnφ + φ lnφ 3.01 practice problems thermo solutions 3.01 Issued: 1.08.04 Fall 004 Not due THERODYNAICS 1. Flory-Huggins Theory. We introduced a simple lattice model for polymer solutions in lectures 4 and 5. The Flory-Huggins

More information

Thermodynamic of polymer blends Assoc.Prof.Dr. Jatyuphorn Wootthikanokkhan

Thermodynamic of polymer blends Assoc.Prof.Dr. Jatyuphorn Wootthikanokkhan Thermodynamic of polymer blends Assoc.Prof.Dr. Jatyuphorn Wootthikanokkhan Division of Materials Technology, School of Energy, Environment and Materials, KMUTT, Thailand Classification of polymer blends

More information

ENAS 606 : Polymer Physics

ENAS 606 : Polymer Physics ENAS 606 : Polymer Physics Professor Description Course Topics TA Prerequisite Class Office Hours Chinedum Osuji 302 Mason Lab, 432-4357, chinedum.osuji@yale.edu This course covers the static and dynamic

More information

Lattice protein models

Lattice protein models Lattice protein models Marc R. Roussel epartment of Chemistry and Biochemistry University of Lethbridge March 5, 2009 1 Model and assumptions The ideas developed in the last few lectures can be applied

More information

Solid-fluid mixtures and hydrogels

Solid-fluid mixtures and hydrogels Chapter 6 Solid-fluid mixtures and hydrogels Ahydrogelisapolymernetworkfilledwithasolvent(fluid). Thismeansthatitcanchange volume by means of absorbing (or expelling) solvent. A dry gel can change its

More information

Swelling and Collapse of Single Polymer Molecules and Gels.

Swelling and Collapse of Single Polymer Molecules and Gels. Swelling and Collapse of Single Polymer Molecules and Gels. Coil-Globule Transition in Single Polymer Molecules. the coil-globule transition If polymer chains are not ideal, interactions of non-neighboring

More information

This is the accepted manuscript made available via CHORUS. The article has been published as:

This is the accepted manuscript made available via CHORUS. The article has been published as: This is the accepted manuscript made available via CHORUS. The article has been published as: Similarity of the Signatures of the Initial Stages of Phase Separation in Metastable and Unstable Polymer Blends

More information

Chemistry C : Polymers Section. Dr. Edie Sevick, Research School of Chemistry, ANU. 5.0 Thermodynamics of Polymer Solutions

Chemistry C : Polymers Section. Dr. Edie Sevick, Research School of Chemistry, ANU. 5.0 Thermodynamics of Polymer Solutions Chemistry C3102-2006: Polymers Section Dr. Edie Sevick, Research School of Chemistry, AU 5.0 Thermodynamics of Polymer Solutions In this section, we investigate the solubility of polymers in small molecule

More information

Phase diagrams of mixtures of flexible polymers and nematic liquid crystals in a field

Phase diagrams of mixtures of flexible polymers and nematic liquid crystals in a field PHYSICAL REVIEW E VOLUME 58, NUMBER 5 NOVEMBER 998 Phase diagrams of mixtures of flexible polymers and nematic liquid crystals in a field Zhiqun Lin, Hongdong Zhang, and Yuliang Yang,, * Laboratory of

More information

Quiz 8 Introduction to Polymers

Quiz 8 Introduction to Polymers 100603 Quiz 8 Introduction to Polymers 1) a) Why is there no real termination for ionic polymerizations (i.e. no coupling or disproportionation)? b) Briefly outline how you would produce Kraton Rubber

More information

Polymer Physics MSE 458 / CHEM 482 Spring 2018

Polymer Physics MSE 458 / CHEM 482 Spring 2018 Polymer Physics MSE 458 / CHEM 482 Spring 2018 Instructor: Prof. A.L. Ferguson 204 MSEB (217) 300-2354 alf@illinois.edu Grader: Class: Location: 4101 MSEB Time: 2:00 3:20 pm Days: T, Th Sections: A3 (CRN-38260)

More information

arxiv:cond-mat/ v1 2 Feb 94

arxiv:cond-mat/ v1 2 Feb 94 cond-mat/9402010 Properties and Origins of Protein Secondary Structure Nicholas D. Socci (1), William S. Bialek (2), and José Nelson Onuchic (1) (1) Department of Physics, University of California at San

More information

Lab 4 Module α 2. Miscibility Gaps

Lab 4 Module α 2. Miscibility Gaps 3.014 Materials Laboratory Dec. 9 th Dec. 14 st, 2005 Lab 4 Module α 2 Miscibility Gas OBJECTIVES Review miscibility gas in binary systems Introduce statistical thermodynamics of olymer solutions Learn

More information

Final Exam Introduction to Polymers (each part, a,b,c,, is worth 2.2 points)

Final Exam Introduction to Polymers (each part, a,b,c,, is worth 2.2 points) 168 Final Exam Introduction to Polymers (each part, a,b,c,, is worth 2.2 points) 1) Polymers are different than low-molecular weight oligomers. For example an oligomeric polyethylene is wax, oligomeric

More information

Hydrogel thermodynamics (continued) Physical hydrogels

Hydrogel thermodynamics (continued) Physical hydrogels Hydrogel thermodynamics (continued) Physical hydrogels Last Day: bioengineering applications of hydrogels thermodynamics of hydrogel swelling Today: Structure, physical chemistry, and thermodynamics of

More information

Volume Transition of Nematic Gels

Volume Transition of Nematic Gels Volume Transition of ematic els K. Urayama, Y. Okuno* and. Kohjiya* Department of Material Chemistry, Kyoto University, ishikyo-ku, Kyoto 15-8510 *nstitute for Chemical Research, Kyoto University, Uji,

More information

Phase Transition Dynamics in Polymer Gels

Phase Transition Dynamics in Polymer Gels Phase Transition Dynamics in Polymer Gels Akira Onuki Department of Physics, Kyoto University, Kyoto 606, Japan Phone: 075-753-3743 Faximile: 075-753-3819 e-mail: onuki@scphys.kyoto-u.ac.jp 1. We first

More information

arxiv:cond-mat/ v1 [cond-mat.soft] 19 Mar 2001

arxiv:cond-mat/ v1 [cond-mat.soft] 19 Mar 2001 Modeling two-state cooperativity in protein folding Ke Fan, Jun Wang, and Wei Wang arxiv:cond-mat/0103385v1 [cond-mat.soft] 19 Mar 2001 National Laboratory of Solid State Microstructure and Department

More information

CH.8 Polymers: Solutions, Blends, Membranes, and Gels

CH.8 Polymers: Solutions, Blends, Membranes, and Gels CH.8 Polymers: Solutions, Blends, embranes, and Gels 8. Properties of Polymers Polymers are chain-like molecules. Linear polymer Branched polymer Cross-linked polymer Polymers show little tendency to crystallize.

More information

Lecture 5: Macromolecules, polymers and DNA

Lecture 5: Macromolecules, polymers and DNA 1, polymers and DNA Introduction In this lecture, we focus on a subfield of soft matter: macromolecules and more particularly on polymers. As for the previous chapter about surfactants and electro kinetics,

More information

Polymer solutions and melts

Polymer solutions and melts Course M6 Lecture 9//004 (JAE) Course M6 Lecture 9//004 Polymer solutions and melts Scattering methods Effects of excluded volume and solvents Dr James Elliott Online teaching material reminder Overheads

More information

Structural and mechanistic insight into the substrate. binding from the conformational dynamics in apo. and substrate-bound DapE enzyme

Structural and mechanistic insight into the substrate. binding from the conformational dynamics in apo. and substrate-bound DapE enzyme Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 215 Structural and mechanistic insight into the substrate binding from the conformational

More information

Polymer Blends A Comprehensive Review

Polymer Blends A Comprehensive Review Lloyd M. Robeson Polymer Blends A Comprehensive Review ISBN-0: 3-446-569- ISBN-3: 978-3-446-569-5 Leseprobe Weitere Informationen oder Bestellungen unter http://www.hanser.de/978-3-446-569-5 sowie im Buchhandel

More information

Genetics 304 Lecture 6

Genetics 304 Lecture 6 Genetics 304 Lecture 6 00/01/27 Assigned Readings Busby, S. and R.H. Ebright (1994). Promoter structure, promoter recognition, and transcription activation in prokaryotes. Cell 79:743-746. Reed, W.L. and

More information

Reentrant Phase Transition of Poly(N-isopropylacrylamide) Gels in Polymer Solutions: Thermodynamic Analysis

Reentrant Phase Transition of Poly(N-isopropylacrylamide) Gels in Polymer Solutions: Thermodynamic Analysis Reentrant Phase Transition of Poly(N-isopropylacrylamide) Gels in Polymer Solutions: Thermodynamic Analysis NERMIN GÜNDOGAN, OGUZ OKAY Istanbul Technical University, Department of Chemistry, 80626 Maslak,

More information

Spinodal decomposition kinetics of a mixture of liquid crystals and polymers

Spinodal decomposition kinetics of a mixture of liquid crystals and polymers Macromol. Chem. Phys. 200, 943 948 (1999) 943 Spinodal decomposition kinetics of a mixture of liquid crystals and polymers Zhiqun Lin, Hongdong Zhang, Yuliang Yang* Department of Macromolecular Science,

More information

arxiv: v1 [cond-mat.soft] 22 Oct 2007

arxiv: v1 [cond-mat.soft] 22 Oct 2007 Conformational Transitions of Heteropolymers arxiv:0710.4095v1 [cond-mat.soft] 22 Oct 2007 Michael Bachmann and Wolfhard Janke Institut für Theoretische Physik, Universität Leipzig, Augustusplatz 10/11,

More information

Important practical questions:

Important practical questions: Colloidal stability Important practical questions: - Does dispersion change when T, P or... is changed? - If T, P or... is changed and the dispersion phase separates, what are then the final products?

More information

IPLS Retreat Bath, Oct 17, 2017 Novel Physics arising from phase transitions in biology

IPLS Retreat Bath, Oct 17, 2017 Novel Physics arising from phase transitions in biology IPLS Retreat Bath, Oct 17, 2017 Novel Physics arising from phase transitions in biology Chiu Fan Lee Department of Bioengineering, Imperial College London, UK Biology inspires new physics Biology Physics

More information

Designing Electrostatic Interactions via Polyelectrolyte Monomer Sequence

Designing Electrostatic Interactions via Polyelectrolyte Monomer Sequence This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes. Cite This: http://pubs.acs.org/journal/acscii

More information

Obtaining the Bending Modulus from a Buckled Lipid Membrane

Obtaining the Bending Modulus from a Buckled Lipid Membrane Obtaining the Bending Modulus from a Buckled Lipid Membrane Patrick Diggins, Mingyang Hu, Markus Deserno Department of Physics, Carnegie Mellon University, Pittsburgh PA, USA October 11, 2013 Outline Lipid

More information

Simple model of sickle hemogloblin

Simple model of sickle hemogloblin Simple model of sickle hemogloblin THE JOURNAL OF CHEMICAL PHYSICS 125, 024902 2006 Andrey Shiryayev, a Xiaofei Li, and J. D. Gunton b Department of Physics, Lehigh University, Bethlehem, Pennsylvania

More information

Chapter 2 Development of Theory for Bulk Polymer Blend Systems

Chapter 2 Development of Theory for Bulk Polymer Blend Systems Chapter 2 Development of Theory for Bulk Polymer Blend Systems I follow the development of theory for solutions and blends of polymers. I take a minimal historical approach by focussing on the primary

More information

Scaling Law for the Radius of Gyration of Proteins and Its Dependence on Hydrophobicity

Scaling Law for the Radius of Gyration of Proteins and Its Dependence on Hydrophobicity Scaling Law for the Radius of Gyration of Proteins and Its Dependence on Hydrophobicity LIU HONG, JINZHI LEI Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua University, Beijing, People s Republic

More information

Protein Folding. I. Characteristics of proteins. C α

Protein Folding. I. Characteristics of proteins. C α I. Characteristics of proteins Protein Folding 1. Proteins are one of the most important molecules of life. They perform numerous functions, from storing oxygen in tissues or transporting it in a blood

More information

Protein Simulations in Confined Environments

Protein Simulations in Confined Environments Critical Review Lecture Protein Simulations in Confined Environments Murat Cetinkaya 1, Jorge Sofo 2, Melik C. Demirel 1 1. 2. College of Engineering, Pennsylvania State University, University Park, 16802,

More information

Cytokinesis in fission yeast: Modeling the assembly of the contractile ring

Cytokinesis in fission yeast: Modeling the assembly of the contractile ring Cytokinesis in fission yeast: Modeling the assembly of the contractile ring Nikola Ojkic, Dimitrios Vavylonis Department of Physics, Lehigh University Damien Laporte, Jian-Qiu Wu Department of Molecular

More information

Connection-improved conductive network of carbon nanotubes in the rubber crosslink network

Connection-improved conductive network of carbon nanotubes in the rubber crosslink network Supporting Information Connection-improved conductive network of carbon nanotubes in the rubber crosslink network Lin Gan, Ming Dong, Ying Han, Yanfang Xiao, Lin Yang, Jin Huang* School of Chemistry and

More information

Cell and Molecular Biology

Cell and Molecular Biology Cell and Molecular Biology (3000719): academic year 2013 Content & Objective :Cell Chemistry and Biosynthesis 3 rd Edition, 1994, pp. 41-88. 4 th Edition, 2002, pp. 47-127. 5 th Edition, 2008, pp. 45-124.

More information

(Crystal) Nucleation: The language

(Crystal) Nucleation: The language Why crystallization requires supercooling (Crystal) Nucleation: The language 2r 1. Transferring N particles from liquid to crystal yields energy. Crystal nucleus Δµ: thermodynamic driving force N is proportional

More information

The role of secondary structure in protein structure selection

The role of secondary structure in protein structure selection Eur. Phys. J. E 32, 103 107 (2010) DOI 10.1140/epje/i2010-10591-5 Regular Article THE EUROPEAN PHYSICAL JOURNAL E The role of secondary structure in protein structure selection Yong-Yun Ji 1,a and You-Quan

More information

Gelatine a physical gel

Gelatine a physical gel Gelatine a physical gel W. Babel, Chemie in unserer Zeit, 86 (1996) binder in jogurts, aspic, capsules for medical drugs silver halogenide photography preparation from fibrous collagen (from skin and bones)

More information

Self-consistent field theory for the nucleation of micelles

Self-consistent field theory for the nucleation of micelles JOURNAL OF CHEMICAL PHYSICS VOLUME 110, NUMBER 11 15 MARCH 1999 Self-consistent field theory for the nucleation of micelles N. A. M. Besseling a) and M. A. Cohen Stuart Laboratory for Physical Chemistry

More information

Chain Connectivity and Conformational Variability of Polymers: Clues to an Adequate Thermodynamic Description of their Solutions

Chain Connectivity and Conformational Variability of Polymers: Clues to an Adequate Thermodynamic Description of their Solutions Chain Connectivity and Conformational Variability of Polymers: Clues to an Adequate Thermodynamic Description of their Solutions III: Modeling of Phase Diagrams Sergej Stryuk and Bernhard A. Wolf* Institut

More information

Coarse-Grained Models!

Coarse-Grained Models! Coarse-Grained Models! Large and complex molecules (e.g. long polymers) can not be simulated on the all-atom level! Requires coarse-graining of the model! Coarse-grained models are usually also particles

More information

Random heteropolymer adsorption on disordered multifunctional surfaces: Effect of specific intersegment interactions

Random heteropolymer adsorption on disordered multifunctional surfaces: Effect of specific intersegment interactions JOURNAL OF CHEMICAL PHYSICS VOLUME 109, NUMBER 15 15 OCTOBER 1998 Random heteropolymer adsorption on disordered multifunctional surfaces: Effect of specific intersegment interactions Simcha Srebnik Department

More information

Lecture 8. Polymers and Gels

Lecture 8. Polymers and Gels Lecture 8 Polymers and Gels Variety of polymeric materials Polymer molecule made by repeating of covalently joint units. Many of physical properties of polymers have universal characteristic related to

More information

V(φ) CH 3 CH 2 CH 2 CH 3. High energy states. Low energy states. Views along the C2-C3 bond

V(φ) CH 3 CH 2 CH 2 CH 3. High energy states. Low energy states. Views along the C2-C3 bond Example V(φ): Rotational conformations of n-butane C 3 C C C 3 Potential energy of a n-butane molecule as a function of the angle φ of bond rotation. V(φ) Potential energy/kj mol -1 0 15 10 5 eclipse gauche

More information

Overview & Applications. T. Lezon Hands-on Workshop in Computational Biophysics Pittsburgh Supercomputing Center 04 June, 2015

Overview & Applications. T. Lezon Hands-on Workshop in Computational Biophysics Pittsburgh Supercomputing Center 04 June, 2015 Overview & Applications T. Lezon Hands-on Workshop in Computational Biophysics Pittsburgh Supercomputing Center 4 June, 215 Simulations still take time Bakan et al. Bioinformatics 211. Coarse-grained Elastic

More information

Building a Homology Model of the Transmembrane Domain of the Human Glycine α-1 Receptor

Building a Homology Model of the Transmembrane Domain of the Human Glycine α-1 Receptor Building a Homology Model of the Transmembrane Domain of the Human Glycine α-1 Receptor Presented by Stephanie Lee Research Mentor: Dr. Rob Coalson Glycine Alpha 1 Receptor (GlyRa1) Member of the superfamily

More information

Influence of temperature and diffusive entropy on the capture radius of fly-casting binding

Influence of temperature and diffusive entropy on the capture radius of fly-casting binding . Research Paper. SCIENCE CHINA Physics, Mechanics & Astronomy December 11 Vol. 54 No. 1: 7 4 doi: 1.17/s114-11-4485-8 Influence of temperature and diffusive entropy on the capture radius of fly-casting

More information

Thermodynamic Properties of Polymer Solutions

Thermodynamic Properties of Polymer Solutions @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@?e?@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

More information

Protein disorder, prion propensities, and self-organizing macromolecular collectives

Protein disorder, prion propensities, and self-organizing macromolecular collectives Protein disorder, prion propensities, and self-organizing macromolecular collectives Liliana Malinovska 1, Sonja Kroschwald 1 and Simon Alberti 1,2 1. Max Planck Institute of Molecular Cell Biology and

More information

Hue Sun Chan and Zhuqing Zhang

Hue Sun Chan and Zhuqing Zhang Minireview Liaison amid disorder: non-native interactions may underpin long-range coupling in proteins Hue Sun Chan and Zhuqing Zhang Address: Department of Biochemistry, Department of Molecular Genetics,

More information

Conformational Free-Energy Differences by Confinement Simulations

Conformational Free-Energy Differences by Confinement Simulations Conformational Free-Energy Differences by Confinement Simulations Marco Cecchini Laboratoire d Ingeniérie des Fonctions Moléculaires (ISIS) UMR 76 - Université de Strasbourg mcecchini@unistra.fr HPC days

More information

Phase Transitions in Multicomponent Systems

Phase Transitions in Multicomponent Systems Physics 127b: Statistical Mechanics Phase Transitions in Multicomponent Systems The ibbs Phase Rule Consider a system with n components (different types of molecules) with r s in equilibrium. The state

More information

Cooperativity, Local-Nonlocal Coupling, and Nonnative Interactions in Protein Folding

Cooperativity, Local-Nonlocal Coupling, and Nonnative Interactions in Protein Folding NORDITA, Stockholm March 16, 2012 Cooperativity, Local-Nonlocal Coupling, and Nonnative Interactions in Protein Folding Hue Sun Chan Departments of Biochemistry, of Molecular Genetics, and of Physics University

More information

Outline. The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation. Unfolded Folded. What is protein folding?

Outline. The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation. Unfolded Folded. What is protein folding? The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation By Jun Shimada and Eugine Shaknovich Bill Hawse Dr. Bahar Elisa Sandvik and Mehrdad Safavian Outline Background on protein

More information

Network formation in viscoelastic phase separation

Network formation in viscoelastic phase separation INSTITUTE OF PHYSICSPUBLISHING JOURNAL OFPHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter 15 (2003) S387 S393 PII: S0953-8984(03)54761-0 Network formation in viscoelastic phase separation Hajime Tanaka,

More information

Protein folding. Today s Outline

Protein folding. Today s Outline Protein folding Today s Outline Review of previous sessions Thermodynamics of folding and unfolding Determinants of folding Techniques for measuring folding The folding process The folding problem: Prediction

More information

THE TANGO ALGORITHM: SECONDARY STRUCTURE PROPENSITIES, STATISTICAL MECHANICS APPROXIMATION

THE TANGO ALGORITHM: SECONDARY STRUCTURE PROPENSITIES, STATISTICAL MECHANICS APPROXIMATION THE TANGO ALGORITHM: SECONDARY STRUCTURE PROPENSITIES, STATISTICAL MECHANICS APPROXIMATION AND CALIBRATION Calculation of turn and beta intrinsic propensities. A statistical analysis of a protein structure

More information

Lecture 20: Spinodals and Binodals; Continuous Phase Transitions; Introduction to Statistical Mechanics

Lecture 20: Spinodals and Binodals; Continuous Phase Transitions; Introduction to Statistical Mechanics Lecture 20: 11.28.05 Spinodals and Binodals; Continuous Phase Transitions; Introduction to Statistical Mechanics Today: LAST TIME: DEFINING METASTABLE AND UNSTABLE REGIONS ON PHASE DIAGRAMS...2 Conditions

More information

The lattice model of polymer solutions

The lattice model of polymer solutions The lattice model of polymer solutions Marc R. Roussel Department of Chemistry and Biochemistry University of Lethbridge February 25, 2009 1 The lattice model of polymer solutions In the last note, we

More information

= (-22) = +2kJ /mol

= (-22) = +2kJ /mol Lecture 8: Thermodynamics & Protein Stability Assigned reading in Campbell: Chapter 4.4-4.6 Key Terms: DG = -RT lnk eq = DH - TDS Transition Curve, Melting Curve, Tm DH calculation DS calculation van der

More information

Spinodals in a Polymer-Dispersed Liquid-Crystal

Spinodals in a Polymer-Dispersed Liquid-Crystal The University of Akron IdeaExchange@UAkron College of Polymer Science and Polymer Engineering 1-1995 Spinodals in a Polymer-Dispersed Liquid-Crystal ChungSea Shen University of Akron Main Campus Thein

More information

Simple lattice-gas model for water

Simple lattice-gas model for water Simple lattice-gas model for water A. Ciach, W. T. Góźdź and A. Perera Motivation H-bonds and packing of molecules Construction of the lattice model Results in mean-field approximation Water molecule and

More information

Secondary Structure. Bioch/BIMS 503 Lecture 2. Structure and Function of Proteins. Further Reading. Φ, Ψ angles alone determine protein structure

Secondary Structure. Bioch/BIMS 503 Lecture 2. Structure and Function of Proteins. Further Reading. Φ, Ψ angles alone determine protein structure Bioch/BIMS 503 Lecture 2 Structure and Function of Proteins August 28, 2008 Robert Nakamoto rkn3c@virginia.edu 2-0279 Secondary Structure Φ Ψ angles determine protein structure Φ Ψ angles are restricted

More information

Interfacial forces and friction on the nanometer scale: A tutorial

Interfacial forces and friction on the nanometer scale: A tutorial Interfacial forces and friction on the nanometer scale: A tutorial M. Ruths Department of Chemistry University of Massachusetts Lowell Presented at the Nanotribology Tutorial/Panel Session, STLE/ASME International

More information

Chapter 2. Block copolymers. a b c

Chapter 2. Block copolymers. a b c Chapter 2 Block copolymers In this thesis, the lamellar orientation in thin films of a symmetric diblock copolymer polystyrene-polymethylmethacylate P(S-b-MMA) under competing effects of surface interactions

More information

Spontaneous driving forces give rise to protein RNA condensates with coexisting phases and complex material properties

Spontaneous driving forces give rise to protein RNA condensates with coexisting phases and complex material properties Spontaneous driving forces give rise to protein RNA condensates with coexisting phases and complex material properties Steven Boeynaems a,1, Alex S. Holehouse b,c, Venera Weinhardt d,e, Denes Kovacs f,

More information

Development of Novel Small- Angle X-ray Scattering Data Analysis Methods for Study of Flexible Proteins. Michael Kachala EMBL-Hamburg, Germany

Development of Novel Small- Angle X-ray Scattering Data Analysis Methods for Study of Flexible Proteins. Michael Kachala EMBL-Hamburg, Germany Development of Novel Small- Angle X-ray Scattering Data Analysis Methods for Study of Flexible Proteins Michael Kachala EMBL-Hamburg, Germany 60 mkl >1 mg/ml Monocromatic X-ray beam Sample Mono- or polydisperse

More information

Simulations of Self-Assembly of Polypeptide-Based Copolymers

Simulations of Self-Assembly of Polypeptide-Based Copolymers East China University of Science and Technology Theory, Algorithms and Applications of Dissipative Particle Dynamics Simulations of Self-Assembly of Polypeptide-Based Copolymers Jiaping LIN ( 林嘉平 ) East

More information

Clusters and Percolation

Clusters and Percolation Chapter 6 Clusters and Percolation c 2012 by W. Klein, Harvey Gould, and Jan Tobochnik 5 November 2012 6.1 Introduction In this chapter we continue our investigation of nucleation near the spinodal. We

More information

File ISM02. Dynamics of Soft Matter

File ISM02. Dynamics of Soft Matter File ISM02 Dynamics of Soft Matter 1 Modes of dynamics Quantum Dynamics t: fs-ps, x: 0.1 nm (seldom of importance for soft matter) Molecular Dynamics t: ps µs, x: 1 10 nm Brownian Dynamics t: ns>ps, x:

More information

New insights into kinetics and thermodynamics of interfacial polymerization

New insights into kinetics and thermodynamics of interfacial polymerization New insights into kinetics and thermodynamics of interfacial polymerization S. K. Karode,* S. S. Kulkarni,* A. K. Suresh and R. A. Mashelkar *Polymer Science and Engineering Group, Chemical Engineering

More information

Molecular dynamics simulations of anti-aggregation effect of ibuprofen. Wenling E. Chang, Takako Takeda, E. Prabhu Raman, and Dmitri Klimov

Molecular dynamics simulations of anti-aggregation effect of ibuprofen. Wenling E. Chang, Takako Takeda, E. Prabhu Raman, and Dmitri Klimov Biophysical Journal, Volume 98 Supporting Material Molecular dynamics simulations of anti-aggregation effect of ibuprofen Wenling E. Chang, Takako Takeda, E. Prabhu Raman, and Dmitri Klimov Supplemental

More information

Introduction to" Protein Structure

Introduction to Protein Structure Introduction to" Protein Structure Function, evolution & experimental methods Thomas Blicher, Center for Biological Sequence Analysis Learning Objectives Outline the basic levels of protein structure.

More information

arxiv:cond-mat/ v1 19 Jan 2007

arxiv:cond-mat/ v1 19 Jan 2007 A Physical Mechanism Underlying the Increase of Aqueous Solubility of Nonpolar Compounds and the Denaturation of Proteins upon Cooling Sergey V. Buldyrev, Pradeep Kumar, 2 and H. Eugene Stanley 2 Department

More information

Phase Transitions and Critical Phenomena in Biophysics

Phase Transitions and Critical Phenomena in Biophysics Master M2 Sciences de la Matière ENS de Lyon 2016-2017 Phase Transitions and Critical Phenomena Phase Transitions and Critical Phenomena in Biophysics Alexandre Torzynski January 13, 2017 Abstract Because

More information

Molecular Driving Forces

Molecular Driving Forces Molecular Driving Forces Statistical Thermodynamics in Chemistry and Biology SUBGfittingen 7 At 216 513 073 / / Ken A. Dill Sarina Bromberg With the assistance of Dirk Stigter on the Electrostatics chapters

More information

Prediction of polymer mixture compatibility by Monte Carlo simulation of. intermolecular binary interactions. Amirhossein Ahmadi and Juan J.

Prediction of polymer mixture compatibility by Monte Carlo simulation of. intermolecular binary interactions. Amirhossein Ahmadi and Juan J. Prediction of polymer mixture compatibility by Monte Carlo simulation of intermolecular binary interactions Amirhossein Ahmadi and Juan J. Freire* Departamento de Ciencias y Técnicas Fisicoquímicas, Facultad

More information

Lecture. Polymer Thermodynamics 0331 L Thermodynamics of Polymer Solutions

Lecture. Polymer Thermodynamics 0331 L Thermodynamics of Polymer Solutions 1 Prof. Dr. rer. nat. habil. S. Enders Faculty III for Process Science Institute of Chemical Engineering Department of Thermodynamics Lecture Polymer Thermodynamics 0331 L 337 6.1. Introduction x n = x

More information

Quiz Polymer Properties

Quiz Polymer Properties Quiz 7 070521 Polymer Properties A mean field theory deals with interactions and takes a multi-bodied problem (that is interactions between many sites) and converts it to a single-bodied problem (interactions

More information

A first-order transition in the charge-induced conformational changes of polymers

A first-order transition in the charge-induced conformational changes of polymers JOURNAL OF CHEMICAL PHYSICS VOLUME 116, NUMBER 22 8 JUNE 2002 A first-order transition in the charge-induced conformational changes of polymers Yi Mao, Alexander L. Burin, a) Mark A. Ratner, and Martin

More information

Hydration of Nucleotides Thomas Wyttenbach, Dengfeng Liu, and Michael T. Bowers

Hydration of Nucleotides Thomas Wyttenbach, Dengfeng Liu, and Michael T. Bowers http://bowers.chem.ucsb.edu/ ydration of ucleotides Thomas Wyttenbach, Dengfeng Liu, and Michael T. Bowers ASMS 2006 Why study hydration? Is a certain property of a molecule (e.g. conformation) inherent

More information

BME Engineering Molecular Cell Biology. Structure and Dynamics of Cellular Molecules. Basics of Cell Biology Literature Reading

BME Engineering Molecular Cell Biology. Structure and Dynamics of Cellular Molecules. Basics of Cell Biology Literature Reading BME 42-620 Engineering Molecular Cell Biology Lecture 05: Structure and Dynamics of Cellular Molecules Basics of Cell Biology Literature Reading BME42-620 Lecture 05, September 13, 2011 1 Outline Review:

More information

2. Derive ideal mixing and the Flory-Huggins models from the van der Waals mixture partition function.

2. Derive ideal mixing and the Flory-Huggins models from the van der Waals mixture partition function. Lecture #5 1 Lecture 5 Objectives: 1. Identify athermal and residual terms from the van der Waals mixture partition function.. Derive ideal mixing and the Flory-Huggins models from the van der Waals mixture

More information

Investigation of the Polymeric Properties of α-synuclein and Comparison with NMR Experiments: A Replica Exchange Molecular Dynamics Study

Investigation of the Polymeric Properties of α-synuclein and Comparison with NMR Experiments: A Replica Exchange Molecular Dynamics Study pubs.acs.org/jctc Investigation of the Polymeric Properties of α-synuclein and Comparison with NMR Experiments: A Replica Exchange Molecular Dynamics Study Chitra Narayanan, Daniel S. Weinstock, Kuen-Phon

More information

Chemistry 25 (Spring term 2016) Final Examination for NON-SENIORS GOOD LUCK AND HAVE A GREAT SUMMER!!!

Chemistry 25 (Spring term 2016) Final Examination for NON-SENIORS GOOD LUCK AND HAVE A GREAT SUMMER!!! Name ANSWER KEY Distributed Thursday, June 2 Due Chemistry 25 (Spring term 2016) Final Examination for NON-SENIORS GOOD LUCK AND HAVE A GREAT SUMMER!!! by Thursday, June 2 at 1 pm to 362 Broad a drop box

More information

The viscosity-radius relationship from scaling arguments

The viscosity-radius relationship from scaling arguments The viscosity-radius relationship from scaling arguments D. E. Dunstan Department of Chemical and Biomolecular Engineering, University of Melbourne, VIC 3010, Australia. davided@unimelb.edu.au Abstract

More information

2.1 Traditional and modern applications of polymers. Soft and light materials good heat and electrical insulators

2.1 Traditional and modern applications of polymers. Soft and light materials good heat and electrical insulators . Polymers.1. Traditional and modern applications.. From chemistry to statistical description.3. Polymer solutions and polymer blends.4. Amorphous polymers.5. The glass transition.6. Crystalline polymers.7.

More information