SSThread : Template-free protein structure prediction by threading pairs of contacting secondary structures followed by assembly of overlapping pairs

Copyright © 2014 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 35(2014), 8 vom: 30. März, Seite 644-56
1. Verfasser: Maurice, Kevin J (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article ab initio protein structure prediction contact map prediction knowledge-based potential loop closure secondary structure prediction Proteins Caspase 10 EC 3.4.22.-
Beschreibung
Zusammenfassung:Copyright © 2014 Wiley Periodicals, Inc.
Acquiring the three-dimensional structure of a protein from its amino acid sequence alone, despite a great deal of work and significant progress on the subject, is still an unsolved problem. SSThread, a new template-free algorithm is described here that consists of making several predictions of contacting pairs of α-helices and β-strands derived from a database of experimental structures using a knowledge-based potential, secondary structure prediction, and contact map prediction followed by assembly of overlapping pair predictions to create an ensemble of core structure predictions whose loops are then predicted. In a set of seven CASP10 targets SSThread outperformed the two leading methods for two targets each. The targets were all β-strand containing structures and most of them have a high relative contact order which demonstrates the advantages of SSThread. The primary bottlenecks based on sets of 74 and 21 test cases are the pair prediction and loop prediction stages
Beschreibung:Date Completed 04.10.2014
Date Revised 18.02.2014
published: Print-Electronic
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.23543