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通过虚拟化合物合成增强化合物性质

Compound property enhancement by virtual compound synthesis.

作者信息

Arai Naoki, Yoshikawa Shunsuke, Yasuo Nobuaki, Yoshino Ryunosuke, Sekijima Masakazu

机构信息

* Department of Computer Science, Tokyo Institute of Technology, 4259-J3-23, Nagatsuta-cho, Midori-ku, 226-8502, Yokohama, Japan.

† Research Fellow of Japan Society for the Promotion of Science DC1, 4259-J3-23, Nagatsuta-cho, Midori-ku, 226-8502, Yokohama, Japan.

出版信息

J Bioinform Comput Biol. 2018 Jun;16(3):1840016. doi: 10.1142/S0219720018400164.

Abstract

During drug discovery, drug candidates are narrowed down over several steps to develop pharmaceutical products. The theoretical chemical space in such steps is estimated to be [Formula: see text]. To cover that space, extensive virtual compound libraries have been developed; however, the compilation of extensive libraries comes at large computational cost. Thus, to reduce the computational cost, researchers have constructed custom-made virtual compound libraries that focus on target diseases. In this study, we develop a system that generates virtual compound libraries from input compounds. When a user inputs a compound, the system recursively applies virtual synthetic reaction rules to the compound to improve its properties. The synthetic pathway can also be traced by the user because the reaction rules in this system are based on real organic synthesis reactions. This system has useful functions for effective drug design, such as structural preservation, allowing the substructures necessary for potency to be maintained. In this paper, to confirm the effect of directional reaction sets, we applied the reaction sets to 100 compounds. Moreover, to confirm that the system can reproduce real synthetic pathways, the synthetic pathways of Ibuprofen and Ofloxacin were explored by inputting isobutyl benzene and 7,8-difluoro-2,3-dihydro-3-methyl-4H-benzoxazine. This application is available at the following URL: http://enh.sekijima-lab.org .

摘要

在药物研发过程中,候选药物要经过多个步骤筛选以开发出药品。这些步骤中的理论化学空间估计为[公式:见原文]。为了涵盖该空间,人们开发了大量虚拟化合物库;然而,构建大量库会带来巨大的计算成本。因此,为了降低计算成本,研究人员构建了专注于目标疾病的定制虚拟化合物库。在本研究中,我们开发了一个从输入化合物生成虚拟化合物库的系统。当用户输入一种化合物时,该系统会对该化合物递归应用虚拟合成反应规则以改善其性质。由于该系统中的反应规则基于实际有机合成反应,用户还可以追踪合成途径。该系统具有一些对有效药物设计有用的功能,比如结构保留,能使药效所需的子结构得以维持。在本文中,为了确认定向反应集的效果,我们将反应集应用于100种化合物。此外,为了确认该系统能够重现实际合成途径,通过输入异丁基苯和7,8 - 二氟 - 2,3 - 二氢 - 3 - 甲基 - 4H - 苯并恶嗪探索了布洛芬和氧氟沙星的合成途径。该应用可通过以下网址获取:http://enh.sekijima-lab.org

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Compound property enhancement by virtual compound synthesis.通过虚拟化合物合成增强化合物性质
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