Literature DB >> 8820487

Accuracy and reliability of the scaling-relaxation method for loop closure: an evaluation based on extensive and multiple copy conformational samplings.

Q Zheng1, D J Kyle.   

Abstract

The accuracy and reliability of the recently proposed scaling-relaxation method for loop closure were examined by using extensive conformational sampling. For each of the eight heptapeptides chosen to represent a variety of protein conformations, 1,000-2,000 conformations were sampled. Each segment contained 14 rotatable backbone dihedral angles. The average root mean square deviations (RMSDs) between the predicted and the native conformations were 0.7 angstrom for the backbone and 1.2 angstroms for the side chain atoms. These predictions were substantially more accurate than the previous predictions (1.1 angstroms for the backbone and 2.2 angstroms for the side chain atoms) of the same eight protein segments based on limited conformational sampling (100 conformations for each segment). Large prediction errors mostly occurred at polar and surface side chains that are unlikely to have any meaningful conformation. Moreover, the reliability of seven of the eight predictions was demonstrated with their energy-RMSD and stability-RMSD correlations of the low-energy conformations, where the conformational stability was estimated by using the multiple copy simultaneous sampling method.

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Year:  1996        PMID: 8820487     DOI: 10.1002/(SICI)1097-0134(199602)24:2<209::AID-PROT7>3.0.CO;2-D

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


  6 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

Review 2.  Advances in homology protein structure modeling.

Authors:  Zhexin Xiang
Journal:  Curr Protein Pept Sci       Date:  2006-06       Impact factor: 3.272

3.  CODA: a combined algorithm for predicting the structurally variable regions of protein models.

Authors:  C M Deane; T L Blundell
Journal:  Protein Sci       Date:  2001-03       Impact factor: 6.725

4.  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

5.  Structure prediction for the helical skeletons detected from the low resolution protein density map.

Authors:  Kamal Al Nasr; Weitao Sun; Jing He
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

6.  Local Normal Mode Analysis for Fast Loop Conformational Sampling.

Authors:  José Ramón López-Blanco; Yves Dehouck; Ugo Bastolla; Pablo Chacón
Journal:  J Chem Inf Model       Date:  2022-09-13       Impact factor: 6.162

  6 in total

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