Automatic structure prediction of oligomeric assemblies using Robetta in CASP12 : научное издание | Научно-инновационный портал СФУ

Automatic structure prediction of oligomeric assemblies using Robetta in CASP12 : научное издание

Тип публикации: статья из журнала

Год издания: 2018

Идентификатор DOI: 10.1002/prot.25387

Ключевые слова: CASP12, Protein interfaces, rosetta, Structure prediction, symmetric assemblies

Аннотация: Many naturally occurring protein systems function primarily as symmetric assemblies. Prediction of the quaternary structure of these assemblies is an important biological problem. This article describes automated tools we have developed for predicting the structures of symmetric protein assemblies in the Robetta structure prediction server. We assess the performance of this pipeline on a set of targets from the recent CASP12/CAPRI blind quaternary structure prediction experiment. Our approach successfully predicted 5 of 7 symmetric assemblies in this challenge, and was assessed as the best participating server group, and 1 of only 2 groups (human or server) with 2 predictions judged as high quality by the assessors. We also assess the method on a broader set of 22 natively symmetric CASP12 targets, where we show that oligomeric modeling can improve the accuracy of monomeric structure determination, particularly in highly intertwined oligomers.

Ссылки на полный текст

Издание

Журнал: Proteins: Structure, Function and Bioinformatics

Выпуск журнала: Т. 86

Номера страниц: 283-291

ISSN журнала: 08873585

Издатель: Wiley-Liss Inc

Персоны

  • Park H. (Institute for Protein Design,University of Washington)
  • Ovchinnikov S. (Institute for Protein Design,University of Washington)
  • Baker D. (Howard Hughes Medical Institute,University of Washington)
  • DiMaio F. (Institute for Protein Design,University of Washington)
  • Kim D.E. (Howard Hughes Medical Institute,University of Washington)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.