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LigandBox: A database for 3D structures of chemical compounds

机译:LigandBox:化学化合物3D结构的数据库

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A database for the 3D structures of available compounds is essential for the virtual screening by molecular docking. We have developed the LigandBox database (http://ligandbox.protein.osaka-u.ac.jp/ligandbox/) containing four million available compounds, collected from the catalogues of 37 commercial suppliers, and approved drugs and biochemical compounds taken from KEGG_DRUG, KEGG_COMPOUND and PDB databases. Each chemical compound in the database has several 3D conformers with hydrogen atoms and atomic charges, which are ready to be docked into receptors using docking programs. The 3D conformations were generated using our molecular simulation program package, myPresto . Various physical properties, such as aqueous solubility (LogS) and carcinogenicity have also been calculated to characterize the ADME-Tox properties of the compounds. The Web database provides two services for compound searches: a property/chemical ID search and a chemical structure search. The chemical structure search is performed by a descriptor search and a maximum common substructure (MCS) search combination, using our program kcombu . By specifying a query chemical structure, users can find similar compounds among the millions of compounds in the database within a few minutes. Our database is expected to assist a wide range of researchers, in the fields of medical science, chemical biology, and biochemistry, who are seeking to discover active chemical compounds by the virtual screening.
机译:可用化合物的3D结构数据库对于通过分子对接进行虚拟筛选至关重要。我们已经开发了LigandBox数据库(http://ligandbox.protein.osaka-u.ac.jp/ligandbox/),其中包含400万种可用化合物,这些化合物是从37个商业供应商的目录中收集的,以及获自KEGG_DRUG的批准的药物和生化化合物,KEGG_COMPOUND和PDB数据库。数据库中的每个化合物都有几个带有氢原子和原子电荷的3D构象异构体,可以使用对接程序将其对接到受体中。 3D构象是使用我们的分子模拟程序包myPresto生成的。还已经计算出各种物理性质,例如水溶性(LogS)和致癌性,以表征化合物的ADME-Tox性质。 Web数据库为化合物搜索提供两种服务:特性/化学ID搜索和化学结构搜索。使用我们的程序kcombu,通过描述符搜索和最大公共子结构(MCS)搜索组合执行化学结构搜索。通过指定查询化学结构,用户可以在几分钟内在数据库中数百万种化合物中找到相似的化合物。我们的数据库有望为医学,化学生物学和生物化学领域的广泛研究人员提供帮助,他们正在寻求通过虚拟筛选发现活性化合物的方法。

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