Literature DB >> 10211817

Predicting the structures of 18 peptides using Geocore.

K Ishikawa1, K Yue, K A Dill.   

Abstract

We describe an extensive test of Geocore, an ab initio peptide folding algorithm. We studied 18 short molecules for which there are structures in the Protein Data Bank; chains are up to 31 monomers long. Except for the very shortest peptides, an extremely simple energy function is sufficient to discriminate the true native state from more than 10(8) lowest energy conformations that are searched explicitly for each peptide. A high incidence of native-like structures is found within the best few hundred conformations generated by Geocore for each amino acid sequence. Predictions improve when the number of discrete phi/psi choices is increased.

Mesh:

Year:  1999        PMID: 10211817      PMCID: PMC2144307          DOI: 10.1110/ps.8.4.716

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


  18 in total

1.  Contact potential that recognizes the correct folding of globular proteins.

Authors:  V N Maiorov; G M Crippen
Journal:  J Mol Biol       Date:  1992-10-05       Impact factor: 5.469

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.  Experimentally observed conformation-dependent geometry and hidden strain in proteins.

Authors:  P A Karplus
Journal:  Protein Sci       Date:  1996-07       Impact factor: 6.725

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

Authors:  K Yue; K A Dill
Journal:  Protein Sci       Date:  1996-02       Impact factor: 6.725

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

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

8.  First-principles calculation of the folding free energy of a three-helix bundle protein.

Authors:  E M Boczko; C L Brooks
Journal:  Science       Date:  1995-07-21       Impact factor: 47.728

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

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

10.  Necessary conditions for avoiding incorrect polypeptide folds in conformational search by energy minimization.

Authors:  S Vajda; M S Jafri; O U Sezerman; C DeLisi
Journal:  Biopolymers       Date:  1993-01       Impact factor: 2.505

View more
  6 in total

1.  Three-helix-bundle protein in a Ramachandran model.

Authors:  A Irbäck; F Sjunnesson; S Wallin
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-05       Impact factor: 11.205

2.  A systematic study of the vibrational free energies of polypeptides in folded and random states.

Authors:  B Ma; C J Tsai; R Nussinov
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

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.  APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures.

Authors:  Patrick Brendan Timmons; Chandralal M Hewage
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

5.  PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues.

Authors:  Sandeep Singh; Harinder Singh; Abhishek Tuknait; Kumardeep Chaudhary; Balvinder Singh; S Kumaran; Gajendra P S Raghava
Journal:  Biol Direct       Date:  2015-12-21       Impact factor: 4.540

6.  PEP-FOLD: an online resource for de novo peptide structure prediction.

Authors:  Julien Maupetit; Philippe Derreumaux; Pierre Tuffery
Journal:  Nucleic Acids Res       Date:  2009-05-11       Impact factor: 16.971

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.