Literature DB >> 8401234

Modeling of protein loops by simulated annealing.

V Collura1, J Higo, J Garnier.   

Abstract

A method is presented to model loops of protein to be used in homology modeling of proteins. This method employs the ESAP program of Higo et al. (Higo, J., Collura, V., & Garnier, J., 1992, Biopolymers 32, 33-43) and is based on a fast Monte Carlo simulation and a simulated annealing algorithm. The method is tested on different loops or peptide segments from immunoglobulin, bovine pancreatic trypsin inhibitor, and bovine trypsin. The predicted structure is obtained from the ensemble average of the coordinates of the Monte Carlo simulation at 300 K, which exhibits the lowest internal energy. The starting conformation of the loop prior to modeling is chosen to be completely extended, and a closing harmonic potential is applied to N, CA, C, and O atoms of the terminal residues. A rigid geometry potential of Robson and Platt (1986, J. Mol. Biol. 188, 259-281) with a united atom representation is used. This we demonstrate to yield a loop structure with good hydrogen bonding and torsion angles in the allowed regions of the Ramachandran map. The average accuracy of the modeling evaluated on the eight modeled loops is 1 A root mean square deviation (rmsd) for the backbone atoms and 2.3 A rmsd for all heavy atoms.

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Year:  1993        PMID: 8401234      PMCID: PMC2142460          DOI: 10.1002/pro.5560020915

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


  19 in total

1.  High directional Monte Carlo procedure coupled with the temperature heating and annealing as a method to obtain the global energy minimum structure of polypeptides and proteins.

Authors:  J K Shin; M S Jhon
Journal:  Biopolymers       Date:  1991-02-05       Impact factor: 2.505

2.  Stereochemical quality of protein structure coordinates.

Authors:  A L Morris; M W MacArthur; E G Hutchinson; J M Thornton
Journal:  Proteins       Date:  1992-04

3.  Efficient Monte Carlo methods for the computer simulation of biological molecules.

Authors: 
Journal:  Phys Rev A       Date:  1992-06-15       Impact factor: 3.140

4.  Modeling antibody hypervariable loops: a combined algorithm.

Authors:  A C Martin; J C Cheetham; A R Rees
Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

5.  Structure of antibody hypervariable loops reproduced by a conformational search algorithm.

Authors:  R E Bruccoleri; E Haber; J Novotný
Journal:  Nature       Date:  1988-10-06       Impact factor: 49.962

6.  Predicting antibody hypervariable loop conformations. II: Minimization and molecular dynamics studies of MCPC603 from many randomly generated loop conformations.

Authors:  R M Fine; H Wang; P S Shenkin; D L Yarmush; C Levinthal
Journal:  Proteins       Date:  1986-12

7.  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

8.  Simulation methods for protein structure fluctuations.

Authors:  S H Northrup; J A McCammon
Journal:  Biopolymers       Date:  1980-05       Impact factor: 2.505

9.  An automated method for modeling proteins on known templates using distance geometry.

Authors:  S Srinivasan; C J March; S Sudarsanam
Journal:  Protein Sci       Date:  1993-02       Impact factor: 6.725

10.  The relation between the divergence of sequence and structure in proteins.

Authors:  C Chothia; A M Lesk
Journal:  EMBO J       Date:  1986-04       Impact factor: 11.598

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  17 in total

1.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

2.  Evaluating conformational free energies: the colony energy and its application to the problem of loop prediction.

Authors:  Zhexin Xiang; Cinque S Soto; Barry Honig
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-28       Impact factor: 11.205

3.  Protein loop closure using orientational restraints from NMR data.

Authors:  Chittaranjan Tripathy; Jianyang Zeng; Pei Zhou; Bruce Randall Donald
Journal:  Proteins       Date:  2011-12-13

4.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

5.  Modeling studies of the change in conformation required for cleavage of limited proteolytic sites.

Authors:  S J Hubbard; F Eisenmenger; J M Thornton
Journal:  Protein Sci       Date:  1994-05       Impact factor: 6.725

6.  Modeling protein loops using a phi i + 1, psi i dimer database.

Authors:  S Sudarsanam; R F DuBose; C J March; S Srinivasan
Journal:  Protein Sci       Date:  1995-07       Impact factor: 6.725

7.  Comparative Protein Structure Modeling Using MODELLER.

Authors:  Benjamin Webb; Andrej Sali
Journal:  Curr Protoc Bioinformatics       Date:  2016-06-20

8.  Monte Carlo study of the effect of beta 2-microglobulin on the binding cleft of the HLA-A2 complex.

Authors:  D Bouzida; J Garnier; R Brower; J Cornette; C DeLisi
Journal:  Protein Sci       Date:  1994-06       Impact factor: 6.725

9.  Prediction of protein loop structures using a local move Monte Carlo approach and a grid-based force field.

Authors:  Meng Cui; Mihaly Mezei; Roman Osman
Journal:  Protein Eng Des Sel       Date:  2008-10-27       Impact factor: 1.650

10.  Evolution of the variable gene segments and recombination signal sequences of the human T-cell receptor alpha/delta locus.

Authors:  Marsha R Haynes; Gillian E Wu
Journal:  Immunogenetics       Date:  2004-09-18       Impact factor: 2.846

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