CNRS UMR6097-Université Nice-Sophia Antipolis 660, route des lucioles 06560 Valbonne, France.
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W615-21. doi: 10.1093/nar/gkq322. Epub 2010 May 5.
e-LEA3D web server integrates three complementary tools to perform computer-aided drug design based on molecular fragments. In drug discovery projects, there is a considerable interest in identifying novel and diverse molecular scaffolds to enhance chances of success. The de novo drug design tool is used to invent new ligands to optimize a user-specified scoring function. The composite scoring function includes both structure- and ligand-based evaluations. The de novo approach is an alternative to a blind virtual screening of large compound collections. A heuristic based on a genetic algorithm rapidly finds which fragments or combination of fragments fit a QSAR model or the binding site of a protein. While the approach is ideally suited for scaffold-hopping, this module also allows a scan for possible substituents to a user-specified scaffold. The second tool offers a traditional virtual screening and filtering of an uploaded library of compounds. The third module addresses the combinatorial library design that is based on a user-drawn scaffold and reactants coming, for example, from a chemical supplier. The e-LEA3D server is available at: http://bioinfo.ipmc.cnrs.fr/lea.html.
e-LEA3D 网络服务器集成了三个互补的工具,用于基于分子片段进行计算机辅助药物设计。在药物发现项目中,人们非常感兴趣的是确定新颖多样的分子支架,以提高成功的机会。从头药物设计工具用于发明新的配体来优化用户指定的评分函数。复合评分函数包括结构和配体评估。从头设计方法是对大型化合物库进行盲目虚拟筛选的替代方法。基于遗传算法的启发式方法可以快速找到哪些片段或片段组合适合 QSAR 模型或蛋白质的结合位点。虽然该方法非常适合支架跳跃,但该模块还允许对用户指定的支架进行可能取代基的扫描。第二个工具提供了上传化合物库的传统虚拟筛选和过滤。第三个模块解决了基于用户绘制的支架和反应物(例如来自化学供应商)的组合库设计问题。e-LEA3D 服务器可在以下网址获得:http://bioinfo.ipmc.cnrs.fr/lea.html。