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用于蛋白质结构比较注释的AnnoLite和AnnoLyze程序。

The AnnoLite and AnnoLyze programs for comparative annotation of protein structures.

作者信息

Marti-Renom Marc A, Rossi Andrea, Al-Shahrour Fátima, Davis Fred P, Pieper Ursula, Dopazo Joaquín, Sali Andrej

机构信息

Structural Genomics Unit, Bioinformatics Department, Centro de Investigación Príncipe Felipe, Valencia, Spain.

出版信息

BMC Bioinformatics. 2007 May 22;8 Suppl 4(Suppl 4):S4. doi: 10.1186/1471-2105-8-S4-S4.

Abstract

BACKGROUND

Advances in structural biology, including structural genomics, have resulted in a rapid increase in the number of experimentally determined protein structures. However, about half of the structures deposited by the structural genomics consortia have little or no information about their biological function. Therefore, there is a need for tools for automatically and comprehensively annotating the function of protein structures. We aim to provide such tools by applying comparative protein structure annotation that relies on detectable relationships between protein structures to transfer functional annotations. Here we introduce two programs, AnnoLite and AnnoLyze, which use the structural alignments deposited in the DBAli database.

DESCRIPTION

AnnoLite predicts the SCOP, CATH, EC, InterPro, PfamA, and GO terms with an average sensitivity of ~90% and average precision of ~80%. AnnoLyze predicts ligand binding site and domain interaction patches with an average sensitivity of ~70% and average precision of ~30%, correctly localizing binding sites for small molecules in ~95% of its predictions.

CONCLUSION

The AnnoLite and AnnoLyze programs for comparative annotation of protein structures can reliably and automatically annotate new protein structures. The programs are fully accessible via the Internet as part of the DBAli suite of tools at http://salilab.org/DBAli/.

摘要

背景

包括结构基因组学在内的结构生物学进展,已导致通过实验确定的蛋白质结构数量迅速增加。然而,结构基因组学联盟所提交的结构中约有一半关于其生物学功能的信息很少或没有。因此,需要能够自动且全面注释蛋白质结构功能的工具。我们旨在通过应用基于蛋白质结构之间可检测关系来转移功能注释的比较蛋白质结构注释来提供此类工具。在此,我们介绍两个程序,即AnnoLite和AnnoLyze,它们使用存储在DBAli数据库中的结构比对。

描述

AnnoLite预测SCOP、CATH、EC、InterPro、PfamA和GO术语,平均灵敏度约为90%,平均精度约为80%。AnnoLyze预测配体结合位点和结构域相互作用区域,平均灵敏度约为70%,平均精度约为30%,在其约95%的预测中能正确定位小分子的结合位点。

结论

用于蛋白质结构比较注释的AnnoLite和AnnoLyze程序能够可靠且自动地注释新的蛋白质结构。这些程序可通过互联网作为http://salilab.org/DBAli/上DBAli工具套件的一部分完全访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b89/1892083/bcfc7515181f/1471-2105-8-S4-S4-1.jpg

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