Literature DB >> 8745403

Folding proteins with a simple energy function and extensive conformational searching.

K Yue1, K A Dill.   

Abstract

We describe a computer algorithm for predicting the three-dimensional structures of proteins using only their amino acid sequences. The method differs from others in two ways: (1) it uses very few energy parameters, representing hydrophobic and polar interactions, and (2) it uses a new "constraint-based exhaustive" searching method, which appears to be among the fastest and most complete search methods yet available for realistic protein models. It finds a relatively small number of low-energy conformations, among which are native-like conformations, for crambin (1CRN), avian pancreatic polypeptide (1PPT), melittin (2MLT), and apamin. Thus, the lowest-energy states of very simple energy functions may predict the native structures of globular proteins.

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Year:  1996        PMID: 8745403      PMCID: PMC2143350          DOI: 10.1002/pro.5560050209

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  20 in total

1.  Computer simulation of protein folding.

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

Review 2.  Folding protein alpha-carbon chains into compact forms by Monte Carlo methods.

Authors:  D G Covell
Journal:  Proteins       Date:  1992-11

3.  Assembly of polypeptide and protein backbone conformations from low energy ensembles of short fragments: development of strategies and construction of models for myoglobin, lysozyme, and thymosin beta 4.

Authors:  M J Sippl; M Hendlich; P Lackner
Journal:  Protein Sci       Date:  1992-05       Impact factor: 6.725

4.  Simulations of the folding of a globular protein.

Authors:  J Skolnick; A Kolinski
Journal:  Science       Date:  1990-11-23       Impact factor: 47.728

5.  Sequence-structure relationships in proteins and copolymers.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1993-09

6.  Criteria that discriminate between native proteins and incorrectly folded models.

Authors:  J Novotný; A A Rashin; R E Bruccoleri
Journal:  Proteins       Date:  1988

7.  LINUS: a hierarchic procedure to predict the fold of a protein.

Authors:  R Srinivasan; G D Rose
Journal:  Proteins       Date:  1995-06

8.  Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

Authors:  A Kolinski; J Skolnick
Journal:  Proteins       Date:  1994-04

9.  Satisfying hydrogen bonding potential in proteins.

Authors:  I K McDonald; J M Thornton
Journal:  J Mol Biol       Date:  1994-05-20       Impact factor: 5.469

10.  Reconciling the magnitude of the microscopic and macroscopic hydrophobic effects.

Authors:  K A Sharp; A Nicholls; R F Fine; B Honig
Journal:  Science       Date:  1991-04-05       Impact factor: 47.728

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  10 in total

1.  Predicting the structures of 18 peptides using Geocore.

Authors:  K Ishikawa; K Yue; K A Dill
Journal:  Protein Sci       Date:  1999-04       Impact factor: 6.725

2.  Selecting near-native conformations in homology modeling: the role of molecular mechanics and solvation terms.

Authors:  A Janardhan; S Vajda
Journal:  Protein Sci       Date:  1998-08       Impact factor: 6.725

3.  Constraint-based assembly of tertiary protein structures from secondary structure elements.

Authors:  K Yue; K A Dill
Journal:  Protein Sci       Date:  2000-10       Impact factor: 6.725

4.  Use of surface area computations to describe atom-atom interactions.

Authors:  X de La Cruz; M Calvo
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

5.  Interatomic potentials and solvation parameters from protein engineering data for buried residues.

Authors:  Andrei L Lomize; Mikhail Y Reibarkh; Irina D Pogozheva
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

6.  The Role of Aromatic Residues in Stabilizing the Secondary and Tertiary Structure of Avian Pancreatic Polypeptide.

Authors:  Nicholas Y Palermo; József Csontos; Richard F Murphy; Sándor Lovas
Journal:  Int J Quantum Chem       Date:  2008       Impact factor: 2.444

7.  Distance geometry generates native-like folds for small helical proteins using the consensus distances of predicted protein structures.

Authors:  E S Huang; R Samudrala; J W Ponder
Journal:  Protein Sci       Date:  1998-09       Impact factor: 6.725

8.  Unraveling principles of lead discovery: from unfrustrated energy landscapes to novel molecular anchors.

Authors:  P A Rejto; G M Verkhivker
Journal:  Proc Natl Acad Sci U S A       Date:  1996-08-20       Impact factor: 11.205

9.  A fast conformational search strategy for finding low energy structures of model proteins.

Authors:  T C Beutler; K A Dill
Journal:  Protein Sci       Date:  1996-10       Impact factor: 6.725

10.  Predicting protein folding pathways at the mesoscopic level based on native interactions between secondary structure elements.

Authors:  Qingwu Yang; Sing-Hoi Sze
Journal:  BMC Bioinformatics       Date:  2008-07-23       Impact factor: 3.169

  10 in total

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