MISC

2007年

fams-ace: A combined method to select the best model after remodeling all server models

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
  • Genki Terashi
  • ,
  • Mayuko Takeda-Shitaka
  • ,
  • Kazuhiko Kanou
  • ,
  • Mitsuo Iwadate
  • ,
  • Daisuke Takaya
  • ,
  • Akio Hosoi
  • ,
  • Kazuhiro Ohta
  • ,
  • Hideaki Umeyama

69
Suppl8
開始ページ
98
終了ページ
107
記述言語
英語
掲載種別
DOI
10.1002/prot.21785
出版者・発行元
WILEY-LISS

During Critical Assessment of Protein Structure Prediction (CASP7, Pacific Grove, CA, 2006), fams-ace was entered in the 3D coordinate prediction category as a human expert group. The procedure can be summarized by the following three steps. (1) All the server models were refined and rebuilt utilizing our homology modeling method. (2) Representative structures were selected from each server, according to a model quality evaluation, based on a 3D1D profile score (like Verify3D). (3) The top five models were selected and submitted in the order of the consensus-based score (like 3D-Jury). Fams-ace is a fully automated server and does not require human intervention. In this article, we introduce the methodology of fams-ace and discuss the successes and failures of this approach during CASP7. In addition, we discuss possible improvements for the next CASP

Web of Science ® 被引用回数 : 17

リンク情報
DOI
https://doi.org/10.1002/prot.21785
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000251502400011&DestApp=WOS_CPL