Department of Sciences, University of Roma Tre, 00146 Rome, Italy.
Department of Science and Technology, Nguyen Tat Thanh University, Ho chi Minh City, Vietnam.
Bioinformatics. 2018 Mar 1;34(5):878-880. doi: 10.1093/bioinformatics/btx715.
Recently, LIBRA, a tool for active/ligand binding site prediction, was described. LIBRA's effectiveness was comparable to similar state-of-the-art tools; however, its scoring scheme, output presentation, dependence on local resources and overall convenience were amenable to improvements. To solve these issues, LIBRA-WA, a web application based on an improved LIBRA engine, has been developed, featuring a novel scoring scheme consistently improving LIBRA's performance, and a refined algorithm that can identify binding sites hosted at the interface between different subunits. LIBRA-WA also sports additional functionalities like ligand clustering and a completely redesigned interface for an easier analysis of the output. Extensive tests on 373 apoprotein structures indicate that LIBRA-WA is able to identify the biologically relevant ligand/ligand binding site in 357 cases (∼96%), with the correct prediction ranking first in 349 cases (∼98% of the latter, ∼94% of the total). The earlier stand-alone tool has also been updated and dubbed LIBRA+, by integrating LIBRA-WA's improved engine for cross-compatibility purposes.
LIBRA-WA and LIBRA+ are available at: http://www.computationalbiology.it/software.html.
Supplementary data are available at Bioinformatics online.
最近,描述了一种用于活性/配体结合位点预测的工具 LIBRA。LIBRA 的有效性可与类似的最先进工具相媲美;然而,其评分方案、输出表示、对本地资源的依赖以及整体便利性都需要改进。为了解决这些问题,开发了一个基于改进的 LIBRA 引擎的网络应用程序 LIBRA-WA,它具有一种新颖的评分方案,可不断提高 LIBRA 的性能,以及一种改进的算法,可以识别不同亚基之间界面上的结合位点。LIBRA-WA 还具有其他功能,如配体聚类和完全重新设计的界面,以便更轻松地分析输出。对 373 个脱辅基蛋白结构的广泛测试表明,LIBRA-WA 能够在 357 种情况下(96%)识别生物学相关的配体/配体结合位点,正确的预测排名在 349 种情况下(98%的后者,~94%的总数)。为了实现跨兼容性,早期的独立工具也进行了更新,并命名为 LIBRA+,集成了 LIBRA-WA 的改进引擎。
LIBRA-WA 和 LIBRA+ 可在以下网址获得:http://www.computationalbiology.it/software.html。
补充数据可在 Bioinformatics 在线获得。