Literature DB >> 1557356

A lattice model for protein structure prediction at low resolution.

D A Hinds1, M Levitt.   

Abstract

The prediction of the folded structure of a protein from its sequence has proven to be a very difficult computational problem. We have developed an exceptionally simple representation of a polypeptide chain, with which we can enumerate all possible backbone conformations of small proteins. A protein is represented by a self-avoiding path of connected vertices on a tetrahedral lattice, with several amino acid residues assigned to each lattice vertex. For five small structurally dissimilar proteins, we find that we can separate native-like structures from the vast majority of non-native folds by using only simple structural and energetic criteria. This method demonstrates significant generality and predictive power without requiring foreknowledge of any native structural details.

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Year:  1992        PMID: 1557356      PMCID: PMC48696          DOI: 10.1073/pnas.89.7.2536

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


  26 in total

Review 1.  Intermediates in protein folding reactions and the mechanism of protein folding.

Authors:  R L Baldwin
Journal:  Annu Rev Biochem       Date:  1975       Impact factor: 23.643

2.  Principles of protein-protein recognition.

Authors:  C Chothia; J Janin
Journal:  Nature       Date:  1975-08-28       Impact factor: 49.962

3.  Computer simulation of protein folding.

Authors:  M Levitt; A Warshel
Journal:  Nature       Date:  1975-02-27       Impact factor: 49.962

4.  Structural invariants in protein folding.

Authors:  C Chothia
Journal:  Nature       Date:  1975-03-27       Impact factor: 49.962

5.  A simplified representation of protein conformations for rapid simulation of protein folding.

Authors:  M Levitt
Journal:  J Mol Biol       Date:  1976-06-14       Impact factor: 5.469

6.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

7.  Structural patterns in globular proteins.

Authors:  M Levitt; C Chothia
Journal:  Nature       Date:  1976-06-17       Impact factor: 49.962

8.  Conformations of folded proteins in restricted spaces.

Authors:  D G Covell; R L Jernigan
Journal:  Biochemistry       Date:  1990-04-03       Impact factor: 3.162

Review 9.  The molten globule state as a clue for understanding the folding and cooperativity of globular-protein structure.

Authors:  K Kuwajima
Journal:  Proteins       Date:  1989

10.  Structure of human lysosomal membrane glycoprotein 1. Assignment of disulfide bonds and visualization of its domain arrangement.

Authors:  S R Carlsson; M Fukuda
Journal:  J Biol Chem       Date:  1989-12-05       Impact factor: 5.157

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  40 in total

1.  Helix-bundle membrane protein fold templates.

Authors:  J U Bowie
Journal:  Protein Sci       Date:  1999-12       Impact factor: 6.725

2.  An accurate, residue-level, pair potential of mean force for folding and binding based on the distance-scaled, ideal-gas reference state.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-02       Impact factor: 6.725

3.  Protein tertiary structure recognition using optimized Hamiltonians with local interactions.

Authors:  R A Goldstein; Z A Luthey-Schulten; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  1992-10-01       Impact factor: 11.205

4.  Design of an optimal Chebyshev-expanded discrimination function for globular proteins.

Authors:  Boris Fain; Yu Xia; Michael Levitt
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

5.  Sequence-structure matching in globular proteins: application to supersecondary and tertiary structure determination.

Authors:  A Godzik; J Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-15       Impact factor: 11.205

6.  Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm.

Authors:  Richard Wroe; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

7.  Calculation of the entropy of random coil polymers with the hypothetical scanning Monte Carlo method.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  J Chem Phys       Date:  2005-12-01       Impact factor: 3.488

8.  OPUS-Ca: a knowledge-based potential function requiring only Calpha positions.

Authors:  Yinghao Wu; Mingyang Lu; Mingzhi Chen; Jialin Li; Jianpeng Ma
Journal:  Protein Sci       Date:  2007-07       Impact factor: 6.725

9.  A new generation of statistical potentials for proteins.

Authors:  Y Dehouck; D Gilis; M Rooman
Journal:  Biophys J       Date:  2006-03-13       Impact factor: 4.033

10.  Multiscale simulations of protein landscapes: using coarse-grained models as reference potentials to full explicit models.

Authors:  Benjamin M Messer; Maite Roca; Zhen T Chu; Spyridon Vicatos; Alexandra Vardi Kilshtain; Arieh Warshel
Journal:  Proteins       Date:  2010-04
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