Literature DB >> 19706384

Restriction versus guidance in protein structure prediction.

Joseph A Hegler1, Joachim Lätzer, Amarda Shehu, Cecilia Clementi, Peter G Wolynes.   

Abstract

Conformational restriction by fragment assembly and guidance in molecular dynamics are alternate conformational search strategies in protein structure prediction. We examine both approaches using a version of the associative memory Hamiltonian that incorporates the influence of water-mediated interactions (AMW). For short proteins (<70 residues), fragment assembly, while searching a restricted space, compares well to molecular dynamics and is often sufficient to fold such proteins to near-native conformations (4A) via simulated annealing. Longer proteins encounter kinetic sampling limitations in fragment assembly not seen in molecular dynamics which generally samples more native-like conformations. We also present a fragment enriched version of the standard AMW energy function, AMW-FME, which incorporates the local sequence alignment derived fragment libraries from fragment assembly directly into the energy function. This energy function, in which fragment information acts as a guide not a restriction, is found by molecular dynamics to improve on both previous approaches.

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Year:  2009        PMID: 19706384      PMCID: PMC2741246          DOI: 10.1073/pnas.0907002106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

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Authors:  Corey Hardin; Michael P Eastwood; Michael Prentiss; Z Luthey-Schulten; Peter G Wolynes
Journal:  J Comput Chem       Date:  2002-01-15       Impact factor: 3.376

Review 2.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

3.  PISCES: a protein sequence culling server.

Authors:  Guoli Wang; Roland L Dunbrack
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

4.  Optimal protein-folding codes from spin-glass theory.

Authors:  R A Goldstein; Z A Luthey-Schulten; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  1992-06-01       Impact factor: 11.205

5.  Role of topology, nonadditivity, and water-mediated interactions in predicting the structures of alpha/beta proteins.

Authors:  Chenghang Zong; Garegin A Papoian; Johan Ulander; Peter G Wolynes
Journal:  J Am Chem Soc       Date:  2006-04-19       Impact factor: 15.419

6.  Assessment of CASP7 predictions for template-based modeling targets.

Authors:  Jürgen Kopp; Lorenza Bordoli; James N D Battey; Florian Kiefer; Torsten Schwede
Journal:  Proteins       Date:  2007

7.  Toward protein tertiary structure recognition by means of associative memory hamiltonians.

Authors:  M S Friedrichs; P G Wolynes
Journal:  Science       Date:  1989-10-20       Impact factor: 47.728

8.  Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.

Authors:  K T Simons; C Kooperberg; E Huang; D Baker
Journal:  J Mol Biol       Date:  1997-04-25       Impact factor: 5.469

9.  Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

Authors:  W Kabsch; C Sander
Journal:  Biopolymers       Date:  1983-12       Impact factor: 2.505

10.  Multiscale characterization of protein conformational ensembles.

Authors:  Amarda Shehu; Lydia E Kavraki; Cecilia Clementi
Journal:  Proteins       Date:  2009-09
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  21 in total

1.  Binding of NFκB Appears to Twist the Ankyrin Repeat Domain of IκBα.

Authors:  Morten Beck Trelle; Kristen M Ramsey; Taehyung C Lee; Weihua Zheng; Jorge Lamboy; Peter G Wolynes; Ashok Deniz; Elizabeth A Komives
Journal:  Biophys J       Date:  2016-02-23       Impact factor: 4.033

2.  Residue-level global and local ensemble-ensemble comparisons of protein domains.

Authors:  Sarah A Clark; Dale E Tronrud; P Andrew Karplus
Journal:  Protein Sci       Date:  2015-06-22       Impact factor: 6.725

3.  Protein Folding and Structure Prediction from the Ground Up II: AAWSEM for α/β Proteins.

Authors:  Mingchen Chen; Xingcheng Lin; Wei Lu; José N Onuchic; Peter G Wolynes
Journal:  J Phys Chem B       Date:  2016-11-11       Impact factor: 2.991

4.  Rapid sampling of all-atom peptides using a library-based polymer-growth approach.

Authors:  Artem B Mamonov; Xin Zhang; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2010-08-23       Impact factor: 3.376

5.  Protein structure prediction: do hydrogen bonding and water-mediated interactions suffice?

Authors:  Vanessa Oklejas; Chenghang Zong; Garegin A Papoian; Peter G Wolynes
Journal:  Methods       Date:  2010-05-26       Impact factor: 3.608

6.  The role of atomic level steric effects and attractive forces in protein folding.

Authors:  Heiko Lammert; Peter G Wolynes; José N Onuchic
Journal:  Proteins       Date:  2011-11-12

7.  AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasing.

Authors:  Aram Davtyan; Nicholas P Schafer; Weihua Zheng; Cecilia Clementi; Peter G Wolynes; Garegin A Papoian
Journal:  J Phys Chem B       Date:  2012-05-10       Impact factor: 2.991

8.  PEST Control of Molecular Stripping of NFκB from DNA Transcription Sites.

Authors:  Davit A Potoyan; Weihua Zheng; Diego U Ferreiro; Peter G Wolynes; Elizabeth A Komives
Journal:  J Phys Chem B       Date:  2016-05-03       Impact factor: 2.991

9.  Protein Folding and Structure Prediction from the Ground Up: The Atomistic Associative Memory, Water Mediated, Structure and Energy Model.

Authors:  Mingchen Chen; Xingcheng Lin; Weihua Zheng; José N Onuchic; Peter G Wolynes
Journal:  J Phys Chem B       Date:  2016-05-13       Impact factor: 2.991

10.  Learning To Fold Proteins Using Energy Landscape Theory.

Authors:  N P Schafer; B L Kim; W Zheng; P G Wolynes
Journal:  Isr J Chem       Date:  2014-08       Impact factor: 3.333

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