Literature DB >> 1438179

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

D G Covell1.   

Abstract

A method is presented for generating folded chains of specific amino acid sequences on a simple cubic lattice. Monte Carlo simulations are used to transform extended geometries of simplified alpha-carbon chains for eight small monomeric globular proteins into folded states. Permitted chain transitions are limited to a few types of moves, all restricted to occur on the lattice. Crude residue-residue potentials derived from statistical structure data are used to describe the energies for each conformer. The low resolution structures obtained by this procedure contain many of the correct gross features of the native folded architectures with respect to average residue energy per nonbonded contact, segment density, and location of surface loops and disulfide pairs. Rms deviations between these and the native X-ray structures and percentage of native long-range contacts found in these final folded structures are 7.6 +/- 0.7 A and 48 +/- 3%, respectively. This procedure can be useful for predicting approximate tertiary interactions from amino acid sequence.

Entities:  

Mesh:

Year:  1992        PMID: 1438179     DOI: 10.1002/prot.340140310

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 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.  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

3.  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

4.  Identification of cooperative folding units in a set of native proteins.

Authors:  A Wallqvist; G W Smythers; D G Covell
Journal:  Protein Sci       Date:  1997-08       Impact factor: 6.725

5.  A pairwise residue contact area-based mean force potential for discrimination of native protein structure.

Authors:  Shahriar Arab; Mehdi Sadeghi; Changiz Eslahchi; Hamid Pezeshk; Armita Sheari
Journal:  BMC Bioinformatics       Date:  2010-01-09       Impact factor: 3.169

6.  Adaptive local learning in sampling based motion planning for protein folding.

Authors:  Chinwe Ekenna; Shawna Thomas; Nancy M Amato
Journal:  BMC Syst Biol       Date:  2016-08-01
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.