I-TASSER server: new development for protein structure and function predictions.
I-TASSER server: new development for protein structure and function predictions.
复制标题
DOI：
10.1093/nar/gkv342
复制
发表时间：
2015-07-01
影响因子：
14.9
通讯作者：
Zhang Y
中科院分区：
文献类型：
--
作者：
Yang J;Zhang Y
I-TASSER服务器（http：//zhanglab.ccmb.med.umich.edu/I-TASSER）是用于自动蛋白质结构预测和基于结构的功能注释的在线资源。在I-TASSER中，首先使用多线程对齐方法从PDB识别结构模板。然后通过迭代片段组装模拟构建全长结构模型。通过将预测的结构模型与功能数据库中的已知蛋白质进行匹配，最终获得功能见解。虽然该服务器已被广泛用于各种生物和生物医学调查，许多评论和建议，已报告从用户社区。在本文中，我们总结了I-TASSER服务器的最新发展，这些发展旨在满足用户社区的需求，并提高建模预测的准确性。重点介绍了原子级结构细化、局部结构质量估计和生物功能注释的新方法。我们希望这些新的发展将提高I-TASSER服务器的质量，并进一步促进社区将其用于高分辨率结构和功能预测。
The I-TASSER server (http://zhanglab.ccmb.med.umich.edu/I-TASSER) is an online resource for automated protein structure prediction and structure-based function annotation. In I-TASSER, structural templates are first recognized from the PDB using multiple threading alignment approaches. Full-length structure models are then constructed by iterative fragment assembly simulations. The functional insights are finally derived by matching the predicted structure models with known proteins in the function databases. Although the server has been widely used for various biological and biomedical investigations, numerous comments and suggestions have been reported from the user community. In this article, we summarize recent developments on the I-TASSER server, which were designed to address the requirements from the user community and to increase the accuracy of modeling predictions. Focuses have been made on the introduction of new methods for atomic-level structure refinement, local structure quality estimation and biological function annotations. We expect that these new developments will improve the quality of the I-TASSER server and further facilitate its use by the community for high-resolution structure and function prediction.
登录
查看更多内容
影响因子：
5.7
作者：
Zhang, Jian;Liang, Yu;Zhang, Yang
通讯作者：
Zhang, Yang
影响因子：
2.9
作者：
Huang, Yuanpeng J.;Mao, Binchen;Aramini, James M.;Montelione, Gaetano T.
通讯作者：
Montelione, Gaetano T.
影响因子：
14.9
作者：
Wass MN;Kelley LA;Sternberg MJ
通讯作者：
Sternberg MJ
影响因子：
3.4
作者：
Zhang, Y;Kolinski, A;Skolnick, J
通讯作者：
Skolnick, J
影响因子：
5.8
作者：
Yang, Jianyi;Roy, Ambrish;Zhang, Yang
通讯作者：
Zhang, Yang