Homology modeling of putative thioredoxin from Helicobacetr pylori
|
|
- Domenic Fowler
- 5 years ago
- Views:
Transcription
1 Indian Journal of Biotechnology Vol 6, October 2007, pp Homology modeling of putative thioredoxin from Helicobacetr pylori D Premalatha, P Ravindra 1 and L Venkateshwar Rao* Department of Microbiology, University College of Science, Osmania University, Hyderabad , India 1 School of Engineering and Information Technology, University Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia Received 12 June 2006; revised 27 November 2006; accepted 10 January 2007 The tertiary structure of putative thioredoxin (trx) of Helicobacter pylori was generated based on structural homology of the X-ray crystallographic structure of thioredoxin from Escherichia coli. Inspection of theoretically predicted structure indicates that the thioredoxin of H. pylori is similar to that of E. coli. Analysis of the structure revealed that thioredoxins have a common fold, characterized by a core of twisted β-pleated sheet flanked either side by helices. The amino terminal end of the molecule is occupied by β-α-β motif and carboxy terminal end by β-β-α motif. This molecule is characterized by five strands and four helices. Among the four helices, α 2 is the longest helix which was disrupted near proline. Proline72 is identified as cis-proline. This structure retained overall trx-fold with the conservation of global shape and the secondary structures. This work determines the structure of thioredoxin and is found to be unique for further insight into molecular characterization. Keywords: BLAST, PDB, thioredoxin, RMSD IPC Code: Int. Cl. 8 G01N33/00 Introduction Thioredoxins are small, heat stable proteins with molecular mass ranging from 10 to 12 kda. They are present in a variety of living organisms from prokaryotes to human beings and characterized by an active site at the amino terminus containing two cysteine residues separated by two amino acids, i.e. Cys-X-X-Cys where X can be any amino acid 1. Generally, thioredoxin functions as a general protein-disulfide reductase and its redox activity resides in the sequence of its conserved active site, Cys-X-X-Cys, which undergoes reversible oxidation of the cysteine residues from a dithiol to a disulfide form 1. The reversible oxidation of the cysteine residues to the disulphide form serves as a redox couple for a vast spectrum of biological processes from cell division to enzyme regulation. The mechanism of action involves initial nucleophilic attack by thiol group (Cys32) on one of the sulfur atoms in the substrate, yielding an unstable transient mixed disulphide. The second thiol group (Cys35) displaces the sulphur atom of the substrate to generate oxidized thioredoxin and reduces the substrate 2. The active-site-residues of all known thioredoxin molecules are highly conserved but the remainder *Author for correspondence: Mobile: : Fax: vrlinga@yahoo.com portion of it may vary. Several studies have indicated the multifunctional role of thioredoxin. The role of thioredoxin in the reduction of methionine sulfoxide, for the first time, was described in yeast 3. Thioredoxin was found to participate in the synthesis of deoxyribonucleotides by the reduction of ribonucleotides 4. It was also demonstrated that Escherichia coli thioredoxin was essential for bacteriophage T7 replication. It served as a sub unit of phage DNA polymerase 5 and for the assembly of filamentous phage 6. In plants, it controlled the activity of different photosynthetic enzymes 7. Thioredoxin from different species has shown 27-69% sequence identity to that of E. coli thioredoxin. The structural studies of thioredoxin from different organisms represented a thioredoxin fold 8. Thioredoxin from phage T 4 has also similar fold but with certain variations in the primary structure 3. Thioredoxin of E. coli has so far been studied most extensively 9,10 and represented a reference model for other studies. The 3D-sturcture of oxidized form of E. coli thioredoxin was studied by X-ray crystallography at 2.8Å resolution 10 ; later the resolution was extended to 1.68Å (Ref. 11). The protein contained a polypeptide chain with a core of twisted β-sheet flanked on either side by helices 10,11. However, the 3D-model of thioredoxin from Bacillus acidocaldarius (Bac trx), constructed by a molecular
2 modeling technique, indicated larger first helix region12. A study on H. pylori thioredoxin system has suggested it a stress response protein, which helped the organism to inhabit impermeable mucus gel13. As the function of a protein is mostly related with its 3Dstructure, the present study is the motivation for the above observation. The present communication summarizes the structural features of the putative thioredoxin of H. pylon', a gastric pathogen, employing in silico methods. Materidsand Methods Computational Methods The computational methods of 3IT-model building involved template selection, alignment of template with the target, building of the model and evaluation of the structure. Putative thioredoxin pequence of H. pylori was mined from Swissprot database. Selection of Template and S6tpence Alignment Different on-line tools were used to select the template. The PDB (Brookhaven Protein Data Bank) database was extensively screened using BLAST (Basic Local Alignment Search Tool) server, developed and maintained at Adam Godzik's laboratory at the Burnham Institute, to find out the distantly related homologues of query sequence. PDB database was searched by PSI-BLAST using a profile generated from NR database for proteins exhibiting similarity to the unknown structure. Putative sequence was submitted to FUGUE server ( carn.ac.uk) situated at University of Cambridge, United Kingdom, for recognizing distant homologues by sequence-structure comparison. The sequence was also submitted to fold recognition server, 3d-pssm, ( situated at Imperial College of Science, Technology and Medicine, United Kingdom The 3d-pssm results contain the scores and alignments for the 20 most probable matches. Template was selected with the help of search algorithms. The alignment of protein sequence was constructed by usjng the option CLUSTAL-x'~. based on satisfaction of spatial re~traints'~. Of 20 models generated, the representative model has the lowest objective function. This model was refined by loop building using SWISS PDB VIEWER'^ software and energy minimization by sibyl (Tripos Inc., 1699, South Hanley Rd., St. Louis, Missouri, 63144, USA) installed on Silicon Graphics Workstation. Stereochemical quality of the representative model was evaluated by means of PRO CHECK'^ and VERIFY- 3~". Ribbon diagram of 3D-model was generated by MOLMOL'~. Results The 3D-structure of putative thioredoxin of H. pylori (Fig. 1) was built by homology modeling based on E. coli thiaredoxin. The closest homologue with highest sequence identity of 35% and highest score of 101 was selected as representative model (Table 1). This model possessed the lowest objective function of The model discloses a single polypeptide chain with major secondary structural elements, a-helices and &sheets (Fig. 1; Table 2). Structure reveals pa-p motif at amino tenninal end and P-P-a motif at carboxy terminal end. Central core of the structure is occupied by fl-sheet of five strands flanked by four helices. Among five strands, four are parallel and one is antiparallel; while among four helices, second is the largest helix. Cis-proline, Model Building, Evakdion mrd Valirlation of Model The atomic co-ordinates of the crystallographic structure of the oxidized form of E. Coli thioredoxin" (chain-a) at a resolution of 1.68A was obtained from Protein Data files. was Fig. 1 -Ribbon diagram of 3D-structure of H. pylo~ using MODELLER software, which builds the model thioredoxin with a-helices and kstrands putative
3 PREMALATHA et al.: THIOREDOXIN FROM H. PYUlRl Table 1 - Data showing closest thioredoxin homologue of H. Table 3 - Rkhandran Plot calculations on 3D-model of H. pylon putative thioredoxin from PDB-BLAST pylon putative thioredoxin computed with Procheck program PDBCODE Protein Chain Identity to trx of H. pylori 2TRX Crystal structure of Chain A E. coli thioredoxin NMR-structure of tbioredoxin from E. coli NMR-structure of thioredoxin from Chlarnydomo~s Reinhardtii Chain A Chain A Crystal structure Null analysis of thioredoxin from P E. coli Table 2 - Contents of a-helices and p-strands,of H. pylon putative thioredoxin P-strand Amino acids a-helix Amino acids pl Leu2, Glu3, Vd4 a1 TyrlO, Alal 1, Glu12, Lysl3 % of residues in most favored regions 93.5% % of residues in additional allowed regions 6.5% % of residues in generously allowed regions 0.0% % of residues in disallowed regions 0.0% % of non-glycine and non-proline residues 100.0% -4s Phi (degrees) Glu50, Phe51,52, a3 Leu62, Lys63, Lys53 Vd54, Ser55 Glu64, Ser65, Leu66 Fig. 2 - Ramachandran plot of 3-D model of H. pylori putative thioredoxin Verification of 3D-Model The profile score above zero in the VERIFY-3D graph corresponded to acceptable environment of the model (Fig. 3). The high score of 0.69 indicates that the environment profile of the model is good. important for the stability of the molecule, is the proline72. Two cysteins are separated by residues Cys-Pro-Asp-Cys and located at the down stream of strand. Validation of Structure The $ and y.~ distribution values of Ramachandran plot of non-glycine and non-proline residues after refinement of the model with loop building, using SWISS PDB VIEWER, and subjecting to energy minimization, using Tripos force field, are presented in Table 3. Altogether 100.0% of the residues were in favoured and allowed regions (Fig. 2). Discussion Thioredoxins (trx) are conserved proteins and distributed in the living organisms from prokaryotes to humans. Thioredoxin-sequences from different species have been reported to have 27-69% sequenceidentity with that of E. coli thioredoxin with trx-fold8. In the present study, putative thioredoxin sequence of H. pylon exhibited 35% sequence-identity with that of E.coli thioredoxin hinting the possibility of possessing trx-fold. The protein mddel built in the present study retains a general trx-fold, i.e. P-pleated sheet flanked either side by helices. Further inspection of the structure indicates that larger part of the model,
4 488 INDIAN J BIOTECHNOL, OCTOBER 2007 Fig. 3 Verify-3D graph of H. pylori putative thioredoxin including the largest second helix region with a break near the helix breaker proline, is similar to that of E. coli thioredoxin derived by X-ray crystallography. However, the model differs from the 3D-model of B. acidocaldarius, which had the largest first helix region. Another confirmatory evidence obtained by the overall superposition of backbone atoms of H. pylori thioredoxin to the structure of E. coli thioredoxin showing an average RMSD (root mean square deviation) of 0.52Å. This indicates that the molecular topology is globally similar. The contents of α-helices and β-strands constitute 32.6% and 26.6% of total amino acids, respectively. Analysis of PROCHECK reveals that all residues are within the limits of Ramachanran plot. So, it can be considered a good model. Loop building with SWISS PROTEIN DATABANK VIEWER 17 and energy minimization with SYBYL (Tripos Inc., 1699, South Hanley Rd., St. Louis, Missouri 63144, USA) carried out for the model resulted in the model with reduced energy. According to thermodynamic hypothesis, native conformation of the proteins corresponds to global minima of their free energy 20. This fold might be the native conformation of the putative thioredoxin, which is trying to follow thermodynamic hypothesis. Proteins, described as the servants of life, can perform their function efficiently in native state only. References 1 Holmgren A, Thioredoxin and glutaredoxin systems, J Biol Chem, 264 (1989) Kallis G B & Holmgren A, Differential reactivity of the functional sulfhydryl groups of cysteine-32 and cysteine-35 present in the reduced form of thioredoxin from Escherichia coli, J Biol Chem, 255 (1980) Holmgren A, Thioredoxin, Annu Rev Biochem, 54 (1985) Laurent T C, Moore E C & Reichard P, Enzymatic synthesis of deoxynucleotides Isolation and characterization of thioredoxin, the hydrogen donor from Escherichia coli, J Biol Chem, 239 (1964) Mark D F & Richardson C, Escherichia coli thioredoxin: A sub-unit of bacteriophage T7 DNA polymerase, Proc Natl Acad Sci USA, 73 (1976) Russel M & Model P, Thioredoxin is required for filamentous phage assembly, Proc Natl Acad Sci USA, 82 (1985) Buchanan B B, Role of light in the regulation of chloroplast enzymes, Annu Rev Plant Physiol, 31 (1980) Eklund H, Gleason F K & Holmgren A, Structural and functional relations among thioredoxins of different species, Proteins: Struct Funct Gent, 11 (1991) Holmgren A, Thioredoxin-6, the amino acid sequence of a protein from Escherichia coli-b, Eur J Biochem, 6 (1968) Holmgren A, Soderberg B O, Eklund H & Branden C I, 3-D structure of Escherichia coli thioredoxin-s2 to 2.8 Å resolution, Proc Natl Acad Sci USA, 72 (1975) Suresh K K, LeMaster D M & Eklund H, Crystal structure of thioredoxin from Escherichia coli at 1.68 Å resolution, J Mol Biol, 212 (1990)
5 PREMALATHA et al.: THIOREDOXIN FROM H. PYLORI Bartolucci S, Guagliardi A, Pedone E, De Pascale D, Cannio R et al, Thioredoxin from Bacillus acidocaldarius: Characterization, high-level expression in Escherichia coli and molecular modeling, Biochem J, 328 (1997) Windle H J, Fox A, Ni Eidhin D & Kelleher D, Thioredoxin system of Helicobacter pylori, J Biol Chem, 275 (2000) Jeanmougin F, Thomson J D, Goun M, Higgins D G & Gibson T J, Multiple sequence alignment with Clustal-X, Trends Biochem Sci, 23 (1998) Sali A & Blundell T L, Comparative protein modeling by satisfaction of spatial restraints, J Mol Biol, 234 (1993) Guex N & Peitsch M C, Swiss model and SWISS PDB VIEWER: An environment for protein modeling, Electrophoresis, 18 (1997) Laskowski R A, McArthur M W, Moss D S & Thornton J M, PROCHECK: A program to check the stereochemical quality of protein structures, J Appl Cryst, 26 (1993) Lüthy R, Bowie J U & Eisenberg D, Assessment of protein models with three-dimensional profiles, Nature (Lond), 356 (1992) Koradi R, Billeter M & Wuthrich K, MOLMOL: A program for display and analysis of macromolecular structures, J Mol Graphics, 14 (1996) Christian B. Anfinsen, principles that govern the folding of protein chains, Science, 181 (1973)
Modeling for 3D structure prediction
Modeling for 3D structure prediction What is a predicted structure? A structure that is constructed using as the sole source of information data obtained from computer based data-mining. However, mixing
More informationIntroduction 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 informationBioinformatics. Macromolecular structure
Bioinformatics Macromolecular structure Contents Determination of protein structure Structure databases Secondary structure elements (SSE) Tertiary structure Structure analysis Structure alignment Domain
More informationIntroduction to Comparative Protein Modeling. Chapter 4 Part I
Introduction to Comparative Protein Modeling Chapter 4 Part I 1 Information on Proteins Each modeling study depends on the quality of the known experimental data. Basis of the model Search in the literature
More informationHomology modeling of Ferredoxin-nitrite reductase from Arabidopsis thaliana
www.bioinformation.net Hypothesis Volume 6(3) Homology modeling of Ferredoxin-nitrite reductase from Arabidopsis thaliana Karim Kherraz*, Khaled Kherraz, Abdelkrim Kameli Biology department, Ecole Normale
More informationProtein Structures: Experiments and Modeling. Patrice Koehl
Protein Structures: Experiments and Modeling Patrice Koehl Structural Bioinformatics: Proteins Proteins: Sources of Structure Information Proteins: Homology Modeling Proteins: Ab initio prediction Proteins:
More informationSecondary 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 informationPhysiochemical Properties of Residues
Physiochemical Properties of Residues Various Sources C N Cα R Slide 1 Conformational Propensities Conformational Propensity is the frequency in which a residue adopts a given conformation (in a polypeptide)
More informationExamples of Protein Modeling. Protein Modeling. Primary Structure. Protein Structure Description. Protein Sequence Sources. Importing Sequences to MOE
Examples of Protein Modeling Protein Modeling Visualization Examination of an experimental structure to gain insight about a research question Dynamics To examine the dynamics of protein structures To
More informationDATE A DAtabase of TIM Barrel Enzymes
DATE A DAtabase of TIM Barrel Enzymes 2 2.1 Introduction.. 2.2 Objective and salient features of the database 2.2.1 Choice of the dataset.. 2.3 Statistical information on the database.. 2.4 Features....
More informationHomology Modeling (Comparative Structure Modeling) GBCB 5874: Problem Solving in GBCB
Homology Modeling (Comparative Structure Modeling) Aims of Structural Genomics High-throughput 3D structure determination and analysis To determine or predict the 3D structures of all the proteins encoded
More informationSection Week 3. Junaid Malek, M.D.
Section Week 3 Junaid Malek, M.D. Biological Polymers DA 4 monomers (building blocks), limited structure (double-helix) RA 4 monomers, greater flexibility, multiple structures Proteins 20 Amino Acids,
More informationHOMOLOGY MODELING. The sequence alignment and template structure are then used to produce a structural model of the target.
HOMOLOGY MODELING Homology modeling, also known as comparative modeling of protein refers to constructing an atomic-resolution model of the "target" protein from its amino acid sequence and an experimental
More informationNMR, X-ray Diffraction, Protein Structure, and RasMol
NMR, X-ray Diffraction, Protein Structure, and RasMol Introduction So far we have been mostly concerned with the proteins themselves. The techniques (NMR or X-ray diffraction) used to determine a structure
More information7.91 Amy Keating. Solving structures using X-ray crystallography & NMR spectroscopy
7.91 Amy Keating Solving structures using X-ray crystallography & NMR spectroscopy How are X-ray crystal structures determined? 1. Grow crystals - structure determination by X-ray crystallography relies
More informationBasics of protein structure
Today: 1. Projects a. Requirements: i. Critical review of one paper ii. At least one computational result b. Noon, Dec. 3 rd written report and oral presentation are due; submit via email to bphys101@fas.harvard.edu
More informationProtein Structure Basics
Protein Structure Basics Presented by Alison Fraser, Christine Lee, Pradhuman Jhala, Corban Rivera Importance of Proteins Muscle structure depends on protein-protein interactions Transport across membranes
More informationProtein Structure. W. M. Grogan, Ph.D. OBJECTIVES
Protein Structure W. M. Grogan, Ph.D. OBJECTIVES 1. Describe the structure and characteristic properties of typical proteins. 2. List and describe the four levels of structure found in proteins. 3. Relate
More informationWeek 10: Homology Modelling (II) - HHpred
Week 10: Homology Modelling (II) - HHpred Course: Tools for Structural Biology Fabian Glaser BKU - Technion 1 2 Identify and align related structures by sequence methods is not an easy task All comparative
More informationSecondary and sidechain structures
Lecture 2 Secondary and sidechain structures James Chou BCMP201 Spring 2008 Images from Petsko & Ringe, Protein Structure and Function. Branden & Tooze, Introduction to Protein Structure. Richardson, J.
More informationMolecular Modeling. Prediction of Protein 3D Structure from Sequence. Vimalkumar Velayudhan. May 21, 2007
Molecular Modeling Prediction of Protein 3D Structure from Sequence Vimalkumar Velayudhan Jain Institute of Vocational and Advanced Studies May 21, 2007 Vimalkumar Velayudhan Molecular Modeling 1/23 Outline
More informationProgramme Last week s quiz results + Summary Fold recognition Break Exercise: Modelling remote homologues
Programme 8.00-8.20 Last week s quiz results + Summary 8.20-9.00 Fold recognition 9.00-9.15 Break 9.15-11.20 Exercise: Modelling remote homologues 11.20-11.40 Summary & discussion 11.40-12.00 Quiz 1 Feedback
More informationBi 8 Midterm Review. TAs: Sarah Cohen, Doo Young Lee, Erin Isaza, and Courtney Chen
Bi 8 Midterm Review TAs: Sarah Cohen, Doo Young Lee, Erin Isaza, and Courtney Chen The Central Dogma Biology Fundamental! Prokaryotes and Eukaryotes Nucleic Acid Components Nucleic Acid Structure DNA Base
More informationThe Structure and Functions of Proteins
Wright State University CORE Scholar Computer Science and Engineering Faculty Publications Computer Science and Engineering 2003 The Structure and Functions of Proteins Dan E. Krane Wright State University
More informationDana Alsulaibi. Jaleel G.Sweis. Mamoon Ahram
15 Dana Alsulaibi Jaleel G.Sweis Mamoon Ahram Revision of last lectures: Proteins have four levels of structures. Primary,secondary, tertiary and quaternary. Primary structure is the order of amino acids
More informationProperties of amino acids in proteins
Properties of amino acids in proteins one of the primary roles of DNA (but not the only one!) is to code for proteins A typical bacterium builds thousands types of proteins, all from ~20 amino acids repeated
More informationBIOCHEMISTRY Course Outline (Fall, 2011)
BIOCHEMISTRY 402 - Course Outline (Fall, 2011) Number OVERVIEW OF LECTURE TOPICS: of Lectures INSTRUCTOR 1. Structural Components of Proteins G. Brayer (a) Amino Acids and the Polypeptide Chain Backbone...2
More informationUseful background reading
Overview of lecture * General comment on peptide bond * Discussion of backbone dihedral angles * Discussion of Ramachandran plots * Description of helix types. * Description of structures * NMR patterns
More informationCMPS 3110: Bioinformatics. Tertiary Structure Prediction
CMPS 3110: Bioinformatics Tertiary Structure Prediction Tertiary Structure Prediction Why Should Tertiary Structure Prediction Be Possible? Molecules obey the laws of physics! Conformation space is finite
More informationDetails of Protein Structure
Details of Protein Structure Function, evolution & experimental methods Thomas Blicher, Center for Biological Sequence Analysis Anne Mølgaard, Kemisk Institut, Københavns Universitet Learning Objectives
More informationProtein Structure Determination Using NMR Restraints BCMB/CHEM 8190
Protein Structure Determination Using NMR Restraints BCMB/CHEM 8190 Programs for NMR Based Structure Determination CNS - Brünger, A. T.; Adams, P. D.; Clore, G. M.; DeLano, W. L.; Gros, P.; Grosse-Kunstleve,
More informationPROTEIN SECONDARY STRUCTURE PREDICTION: AN APPLICATION OF CHOU-FASMAN ALGORITHM IN A HYPOTHETICAL PROTEIN OF SARS VIRUS
Int. J. LifeSc. Bt & Pharm. Res. 2012 Kaladhar, 2012 Research Paper ISSN 2250-3137 www.ijlbpr.com Vol.1, Issue. 1, January 2012 2012 IJLBPR. All Rights Reserved PROTEIN SECONDARY STRUCTURE PREDICTION:
More informationBIRKBECK COLLEGE (University of London)
BIRKBECK COLLEGE (University of London) SCHOOL OF BIOLOGICAL SCIENCES M.Sc. EXAMINATION FOR INTERNAL STUDENTS ON: Postgraduate Certificate in Principles of Protein Structure MSc Structural Molecular Biology
More informationModel Mélange. Physical Models of Peptides and Proteins
Model Mélange Physical Models of Peptides and Proteins In the Model Mélange activity, you will visit four different stations each featuring a variety of different physical models of peptides or proteins.
More informationSupersecondary Structures (structural motifs)
Supersecondary Structures (structural motifs) Various Sources Slide 1 Supersecondary Structures (Motifs) Supersecondary Structures (Motifs): : Combinations of secondary structures in specific geometric
More informationCMPS 6630: Introduction to Computational Biology and Bioinformatics. Tertiary Structure Prediction
CMPS 6630: Introduction to Computational Biology and Bioinformatics Tertiary Structure Prediction Tertiary Structure Prediction Why Should Tertiary Structure Prediction Be Possible? Molecules obey the
More informationComputer simulations of protein folding with a small number of distance restraints
Vol. 49 No. 3/2002 683 692 QUARTERLY Computer simulations of protein folding with a small number of distance restraints Andrzej Sikorski 1, Andrzej Kolinski 1,2 and Jeffrey Skolnick 2 1 Department of Chemistry,
More informationHomology Modeling I. Growth of the Protein Data Bank PDB. Basel, September 30, EMBnet course: Introduction to Protein Structure Bioinformatics
Swiss Institute of Bioinformatics EMBnet course: Introduction to Protein Structure Bioinformatics Homology Modeling I Basel, September 30, 2004 Torsten Schwede Biozentrum - Universität Basel Swiss Institute
More informationCAP 5510 Lecture 3 Protein Structures
CAP 5510 Lecture 3 Protein Structures Su-Shing Chen Bioinformatics CISE 8/19/2005 Su-Shing Chen, CISE 1 Protein Conformation 8/19/2005 Su-Shing Chen, CISE 2 Protein Conformational Structures Hydrophobicity
More informationNeural Networks for Protein Structure Prediction Brown, JMB CS 466 Saurabh Sinha
Neural Networks for Protein Structure Prediction Brown, JMB 1999 CS 466 Saurabh Sinha Outline Goal is to predict secondary structure of a protein from its sequence Artificial Neural Network used for this
More informationComputational Molecular Biology
2013, Vol.3, No.1, 1-5 http://cmb.sophiapublisher.com Research Report Open Access Structural Analysis of the Mode of Interactions of SoxB Protein with SoxYZ Complex from Allochromatium vinosum in the Global
More informationRead more about Pauling and more scientists at: Profiles in Science, The National Library of Medicine, profiles.nlm.nih.gov
2018 Biochemistry 110 California Institute of Technology Lecture 2: Principles of Protein Structure Linus Pauling (1901-1994) began his studies at Caltech in 1922 and was directed by Arthur Amos oyes to
More informationProcheck output. Bond angles (Procheck) Structure verification and validation Bond lengths (Procheck) Introduction to Bioinformatics.
Structure verification and validation Bond lengths (Procheck) Introduction to Bioinformatics Iosif Vaisman Email: ivaisman@gmu.edu ----------------------------------------------------------------- Bond
More informationProtein Structure Marianne Øksnes Dalheim, PhD candidate Biopolymers, TBT4135, Autumn 2013
Protein Structure Marianne Øksnes Dalheim, PhD candidate Biopolymers, TBT4135, Autumn 2013 The presentation is based on the presentation by Professor Alexander Dikiy, which is given in the course compedium:
More informationDesign of a Novel Globular Protein Fold with Atomic-Level Accuracy
Design of a Novel Globular Protein Fold with Atomic-Level Accuracy Brian Kuhlman, Gautam Dantas, Gregory C. Ireton, Gabriele Varani, Barry L. Stoddard, David Baker Presented by Kate Stafford 4 May 05 Protein
More informationCan protein model accuracy be. identified? NO! CBS, BioCentrum, Morten Nielsen, DTU
Can protein model accuracy be identified? Morten Nielsen, CBS, BioCentrum, DTU NO! Identification of Protein-model accuracy Why is it important? What is accuracy RMSD, fraction correct, Protein model correctness/quality
More informationPROTEIN'STRUCTURE'DETERMINATION'
PROTEIN'STRUCTURE'DETERMINATION' USING'NMR'RESTRAINTS' BCMB/CHEM'8190' Programs for NMR Based Structure Determination CNS - Brünger, A. T.; Adams, P. D.; Clore, G. M.; DeLano, W. L.; Gros, P.; Grosse-Kunstleve,
More informationBSc and MSc Degree Examinations
Examination Candidate Number: Desk Number: BSc and MSc Degree Examinations 2018-9 Department : BIOLOGY Title of Exam: Molecular Biology and Biochemistry Part I Time Allowed: 1 hour and 30 minutes Marking
More informationExam I Answer Key: Summer 2006, Semester C
1. Which of the following tripeptides would migrate most rapidly towards the negative electrode if electrophoresis is carried out at ph 3.0? a. gly-gly-gly b. glu-glu-asp c. lys-glu-lys d. val-asn-lys
More informationProtein Structure. Role of (bio)informatics in drug discovery. Bioinformatics
Bioinformatics Protein Structure Principles & Architecture Marjolein Thunnissen Dep. of Biochemistry & Structural Biology Lund University September 2011 Homology, pattern and 3D structure searches need
More informationAdvanced Certificate in Principles in Protein Structure. You will be given a start time with your exam instructions
BIRKBECK COLLEGE (University of London) Advanced Certificate in Principles in Protein Structure MSc Structural Molecular Biology Date: Thursday, 1st September 2011 Time: 3 hours You will be given a start
More informationAP Biology. Proteins. AP Biology. Proteins. Multipurpose molecules
Proteins Proteins Multipurpose molecules 2008-2009 1 Proteins Most structurally & functionally diverse group Function: involved in almost everything u enzymes (pepsin, DNA polymerase) u structure (keratin,
More information1. Amino Acids and Peptides Structures and Properties
1. Amino Acids and Peptides Structures and Properties Chemical nature of amino acids The!-amino acids in peptides and proteins (excluding proline) consist of a carboxylic acid ( COOH) and an amino ( NH
More informationSupplementary Figure 1. Aligned sequences of yeast IDH1 (top) and IDH2 (bottom) with isocitrate
SUPPLEMENTARY FIGURE LEGENDS Supplementary Figure 1. Aligned sequences of yeast IDH1 (top) and IDH2 (bottom) with isocitrate dehydrogenase from Escherichia coli [ICD, pdb 1PB1, Mesecar, A. D., and Koshland,
More informationProtein Structure Determination
Protein Structure Determination Given a protein sequence, determine its 3D structure 1 MIKLGIVMDP IANINIKKDS SFAMLLEAQR RGYELHYMEM GDLYLINGEA 51 RAHTRTLNVK QNYEEWFSFV GEQDLPLADL DVILMRKDPP FDTEFIYATY 101
More informationProtein Structure Prediction
Page 1 Protein Structure Prediction Russ B. Altman BMI 214 CS 274 Protein Folding is different from structure prediction --Folding is concerned with the process of taking the 3D shape, usually based on
More informationProtein Structure & Motifs
& Motifs Biochemistry 201 Molecular Biology January 12, 2000 Doug Brutlag Introduction Proteins are more flexible than nucleic acids in structure because of both the larger number of types of residues
More informationProtein Modeling. Generating, Evaluating and Refining Protein Homology Models
Protein Modeling Generating, Evaluating and Refining Protein Homology Models Troy Wymore and Kristen Messinger Biomedical Initiatives Group Pittsburgh Supercomputing Center Homology Modeling of Proteins
More informationProtein Structure Prediction
Protein Structure Prediction Michael Feig MMTSB/CTBP 2006 Summer Workshop From Sequence to Structure SEALGDTIVKNA Ab initio Structure Prediction Protocol Amino Acid Sequence Conformational Sampling to
More informationBiochemistry Quiz Review 1I. 1. Of the 20 standard amino acids, only is not optically active. The reason is that its side chain.
Biochemistry Quiz Review 1I A general note: Short answer questions are just that, short. Writing a paragraph filled with every term you can remember from class won t improve your answer just answer clearly,
More informationBuilding 3D models of proteins
Building 3D models of proteins Why make a structural model for your protein? The structure can provide clues to the function through structural similarity with other proteins With a structure it is easier
More information4 Proteins: Structure, Function, Folding W. H. Freeman and Company
4 Proteins: Structure, Function, Folding 2013 W. H. Freeman and Company CHAPTER 4 Proteins: Structure, Function, Folding Learning goals: Structure and properties of the peptide bond Structural hierarchy
More informationTable 1. Crystallographic data collection, phasing and refinement statistics. Native Hg soaked Mn soaked 1 Mn soaked 2
Table 1. Crystallographic data collection, phasing and refinement statistics Native Hg soaked Mn soaked 1 Mn soaked 2 Data collection Space group P2 1 2 1 2 1 P2 1 2 1 2 1 P2 1 2 1 2 1 P2 1 2 1 2 1 Cell
More informationOverview. The peptide bond. Page 1
Overview Secondary structure: the conformation of the peptide backbone The peptide bond, steric implications Steric hindrance and sterically allowed conformations. Ramachandran diagrams Side chain conformations
More informationRNA and Protein Structure Prediction
RNA and Protein Structure Prediction Bioinformatics: Issues and Algorithms CSE 308-408 Spring 2007 Lecture 18-1- Outline Multi-Dimensional Nature of Life RNA Secondary Structure Prediction Protein Structure
More informationA) at equilibrium B) endergonic C) endothermic D) exergonic E) exothermic.
CHEM 2770: Elements of Biochemistry Mid Term EXAMINATION VERSION A Date: October 29, 2014 Instructor: H. Perreault Location: 172 Schultz Time: 4 or 6 pm. Duration: 1 hour Instructions Please mark the Answer
More informationProtein Structure: Data Bases and Classification Ingo Ruczinski
Protein Structure: Data Bases and Classification Ingo Ruczinski Department of Biostatistics, Johns Hopkins University Reference Bourne and Weissig Structural Bioinformatics Wiley, 2003 More References
More informationFrancisco Melo, Damien Devos, Eric Depiereux and Ernest Feytmans
From: ISMB-97 Proceedings. Copyright 1997, AAAI (www.aaai.org). All rights reserved. ANOLEA: A www Server to Assess Protein Structures Francisco Melo, Damien Devos, Eric Depiereux and Ernest Feytmans Facultés
More informationProtein Structures. 11/19/2002 Lecture 24 1
Protein Structures 11/19/2002 Lecture 24 1 All 3 figures are cartoons of an amino acid residue. 11/19/2002 Lecture 24 2 Peptide bonds in chains of residues 11/19/2002 Lecture 24 3 Angles φ and ψ in the
More informationMolecular Modelling. part of Bioinformatik von RNA- und Proteinstrukturen. Sonja Prohaska. Leipzig, SS Computational EvoDevo University Leipzig
part of Bioinformatik von RNA- und Proteinstrukturen Computational EvoDevo University Leipzig Leipzig, SS 2011 Protein Structure levels or organization Primary structure: sequence of amino acids (from
More informationSupporting Online Material for
www.sciencemag.org/cgi/content/full/309/5742/1868/dc1 Supporting Online Material for Toward High-Resolution de Novo Structure Prediction for Small Proteins Philip Bradley, Kira M. S. Misura, David Baker*
More informationBiomolecules: lecture 10
Biomolecules: lecture 10 - understanding in detail how protein 3D structures form - realize that protein molecules are not static wire models but instead dynamic, where in principle every atom moves (yet
More informationProteins. Division Ave. High School Ms. Foglia AP Biology. Proteins. Proteins. Multipurpose molecules
Proteins Proteins Multipurpose molecules 2008-2009 Proteins Most structurally & functionally diverse group Function: involved in almost everything u enzymes (pepsin, DNA polymerase) u structure (keratin,
More informationOutline. Levels of Protein Structure. Primary (1 ) Structure. Lecture 6:Protein Architecture II: Secondary Structure or From peptides to proteins
Lecture 6:Protein Architecture II: Secondary Structure or From peptides to proteins Margaret Daugherty Fall 2003 Outline Four levels of structure are used to describe proteins; Alpha helices and beta sheets
More informationProtein Structure Prediction II Lecturer: Serafim Batzoglou Scribe: Samy Hamdouche
Protein Structure Prediction II Lecturer: Serafim Batzoglou Scribe: Samy Hamdouche The molecular structure of a protein can be broken down hierarchically. The primary structure of a protein is simply its
More informationProtein Structure Prediction and Display
Protein Structure Prediction and Display Goal Take primary structure (sequence) and, using rules derived from known structures, predict the secondary structure that is most likely to be adopted by each
More informationPROTEIN STRUCTURE PREDICTION USING GAS PHASE MOLECULAR DYNAMICS SIMULATION: EOTAXIN-3 CYTOKINE AS A CASE STUDY
International Conference Mathematical and Computational Biology 2011 International Journal of Modern Physics: Conference Series Vol. 9 (2012) 193 198 World Scientific Publishing Company DOI: 10.1142/S2010194512005259
More informationCentral Dogma. modifications genome transcriptome proteome
entral Dogma DA ma protein post-translational modifications genome transcriptome proteome 83 ierarchy of Protein Structure 20 Amino Acids There are 20 n possible sequences for a protein of n residues!
More informationProtein Structure Prediction, Engineering & Design CHEM 430
Protein Structure Prediction, Engineering & Design CHEM 430 Eero Saarinen The free energy surface of a protein Protein Structure Prediction & Design Full Protein Structure from Sequence - High Alignment
More informationProtein Structure Bioinformatics Introduction
1 Swiss Institute of Bioinformatics Protein Structure Bioinformatics Introduction Basel, 27. September 2004 Torsten Schwede Biozentrum - Universität Basel Swiss Institute of Bioinformatics Klingelbergstr
More informationHomology Modeling. Roberto Lins EPFL - summer semester 2005
Homology Modeling Roberto Lins EPFL - summer semester 2005 Disclaimer: course material is mainly taken from: P.E. Bourne & H Weissig, Structural Bioinformatics; C.A. Orengo, D.T. Jones & J.M. Thornton,
More informationThe typical end scenario for those who try to predict protein
A method for evaluating the structural quality of protein models by using higher-order pairs scoring Gregory E. Sims and Sung-Hou Kim Berkeley Structural Genomics Center, Lawrence Berkeley National Laboratory,
More informationProtein Struktur (optional, flexible)
Protein Struktur (optional, flexible) 22/10/2009 [ 1 ] Andrew Torda, Wintersemester 2009 / 2010, AST nur für Informatiker, Mathematiker,.. 26 kt, 3 ov 2009 Proteins - who cares? 22/10/2009 [ 2 ] Most important
More informationBiomolecules: lecture 9
Biomolecules: lecture 9 - understanding further why amino acids are the building block for proteins - understanding the chemical properties amino acids bring to proteins - realizing that many proteins
More informationWe used the PSI-BLAST program (http://www.ncbi.nlm.nih.gov/blast/) to search the
SUPPLEMENTARY METHODS - in silico protein analysis We used the PSI-BLAST program (http://www.ncbi.nlm.nih.gov/blast/) to search the Protein Data Bank (PDB, http://www.rcsb.org/pdb/) and the NCBI non-redundant
More informationProtein Dynamics. The space-filling structures of myoglobin and hemoglobin show that there are no pathways for O 2 to reach the heme iron.
Protein Dynamics The space-filling structures of myoglobin and hemoglobin show that there are no pathways for O 2 to reach the heme iron. Below is myoglobin hydrated with 350 water molecules. Only a small
More informationTHE 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 informationRanjit P. Bahadur Assistant Professor Department of Biotechnology Indian Institute of Technology Kharagpur, India. 1 st November, 2013
Hydration of protein-rna recognition sites Ranjit P. Bahadur Assistant Professor Department of Biotechnology Indian Institute of Technology Kharagpur, India 1 st November, 2013 Central Dogma of life DNA
More informationBCH 4053 Exam I Review Spring 2017
BCH 4053 SI - Spring 2017 Reed BCH 4053 Exam I Review Spring 2017 Chapter 1 1. Calculate G for the reaction A + A P + Q. Assume the following equilibrium concentrations: [A] = 20mM, [Q] = [P] = 40fM. Assume
More informationCHAPTER 29 HW: AMINO ACIDS + PROTEINS
CAPTER 29 W: AMI ACIDS + PRTEIS For all problems, consult the table of 20 Amino Acids provided in lecture if an amino acid structure is needed; these will be given on exams. Use natural amino acids (L)
More informationSummary of Experimental Protein Structure Determination. Key Elements
Programme 8.00-8.20 Summary of last week s lecture and quiz 8.20-9.00 Structure validation 9.00-9.15 Break 9.15-11.00 Exercise: Structure validation tutorial 11.00-11.10 Break 11.10-11.40 Summary & discussion
More informationFigure 1. Molecules geometries of 5021 and Each neutral group in CHARMM topology was grouped in dash circle.
Project I Chemistry 8021, Spring 2005/2/23 This document was turned in by a student as a homework paper. 1. Methods First, the cartesian coordinates of 5021 and 8021 molecules (Fig. 1) are generated, in
More informationStudy of Mining Protein Structural Properties and its Application
Study of Mining Protein Structural Properties and its Application A Dissertation Proposal Presented to the Department of Computer Science and Information Engineering College of Electrical Engineering and
More informationHomology models of the tetramerization domain of six eukaryotic voltage-gated potassium channels Kv1.1-Kv1.6
Homology models of the tetramerization domain of six eukaryotic voltage-gated potassium channels Kv1.1-Kv1.6 Hsuan-Liang Liu* and Chin-Wen Chen Department of Chemical Engineering and Graduate Institute
More informationUNIT TWELVE. a, I _,o "' I I I. I I.P. l'o. H-c-c. I ~o I ~ I / H HI oh H...- I II I II 'oh. HO\HO~ I "-oh
UNT TWELVE PROTENS : PEPTDE BONDNG AND POLYPEPTDES 12 CONCEPTS Many proteins are important in biological structure-for example, the keratin of hair, collagen of skin and leather, and fibroin of silk. Other
More informationStructure and evolution of the spliceosomal peptidyl-prolyl cistrans isomerase Cwc27
Acta Cryst. (2014). D70, doi:10.1107/s1399004714021695 Supporting information Volume 70 (2014) Supporting information for article: Structure and evolution of the spliceosomal peptidyl-prolyl cistrans isomerase
More informationGetting To Know Your Protein
Getting To Know Your Protein Comparative Protein Analysis: Part III. Protein Structure Prediction and Comparison Robert Latek, PhD Sr. Bioinformatics Scientist Whitehead Institute for Biomedical Research
More informationSUPPLEMENTARY INFORMATION
doi:10.1038/nature17991 Supplementary Discussion Structural comparison with E. coli EmrE The DMT superfamily includes a wide variety of transporters with 4-10 TM segments 1. Since the subfamilies of the
More informationPacking of Secondary Structures
7.88 Lecture Notes - 4 7.24/7.88J/5.48J The Protein Folding and Human Disease Professor Gossard Retrieving, Viewing Protein Structures from the Protein Data Base Helix helix packing Packing of Secondary
More informationSupporting Information
Supporting Information Ottmann et al. 10.1073/pnas.0907587106 Fig. S1. Primary structure alignment of SBT3 with C5 peptidase from Streptococcus pyogenes. The Matchmaker tool in UCSF Chimera (http:// www.cgl.ucsf.edu/chimera)
More information