arrow
返回

AIDA: ab initio domain assembly server

delete2014-05-15
delete40
delete
OA
AI
Dong Xu 封面图
Dong Xu (Dong Xu)
L
Lukasz Jaroszewski
Z
Zhanwen Li
A
Adam Godzik *
DOI:10.1093/nar/gku369delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
AIDA: ab initio domain assembly server, available at http://ffas.burnham.org/AIDA/ is a tool that can identify domains in multi-domain proteins and then predict their 3D structures and relative spatial arrangements. The server is free and open to all users, and there is an option for a user to provide an e-mail to get the link to result page. Domains are evolutionary conserved and often functionally independent units in proteins. Most proteins, especially eukaryotic ones, consist of multiple domains while at the same time, most experimentally determined protein structures contain only one or two domains. As a result, often structures of individual domains in multi-domain proteins can be accurately predicted, but the mutual arrangement of different domains remains unknown. To address this issue we have developed AIDA program, which combines steps of identifying individual domains, predicting (separately) their structures and assembling them into multiple domain complexes using an ab initio folding potential to describe domain-domain interactions. AIDA server not only supports the assembly of a large number of continuous domains, but also allows the assembly of domains inserted into other domains. Users can also provide distance restraints to guide the AIDA energy minimization.
Keyword:
PROTEIN
PREDICTION
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

S
Sanford Burnham Prebys Medical Discovery Institute
学者数:
3.7K
论文数: 2.5K
被引数: 6.7K
引用论文

引用论文

Structure, function and evolution of multidomain proteins
err2004-04-01
err348
PREAI
errVogel, C; Bashton, M; Kerrison, ND; Chothia, C; Teichmann, SA
err分享
err收藏
Groundwater and Sustainable Development Goals: Analysis of Interlinkages
err
IF0
err2018-12-11
err0
errOAAI
errLisa Guppy; Paula Uyttendaele; Karen Villholth; Vladimir Smakhtin
err分享
err收藏
Improved prediction of protein side-chain conformations with SCWRL4
err2009-07-14
err1.2K
errOAAI
errKrivov, Georgii G.; Shapovalov, Maxim V.; Dunbrack, Roland L., Jr.
err分享
err收藏
Expression and regulation of Toll-like receptors in lupus-like immune complex glomerulonephritis of MRL-Fas(lpr) mice
err2006-09-12
err0
errOAAI
errP. S. Patole; R. D. Pawar; M. Lech; D. Zecher; H. Schmidt; S. Segerer; A. Ellwart; A. Henger; M. Kretzler; H.-J. Anders
err分享
err收藏
The Protein Data Bank蛋白质数据库
err2000-01-01
err3.3W
errOAAI
errBerman, HM; Westbrook, J; Feng, Z; Gilliland, G; Bhat, TN; Weissig, H; Shindyalov, IN; Bourne, PE
err分享
err收藏
学者 查看更多内容