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Compound property enhancement by virtual compound synthesis

机译:通过虚拟复合合成复合性能提高

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摘要

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 1060. 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.
机译:在药物发现过程中,候选药物通过几个步骤来开发药物产品。这些步骤的理论化学空间估计为1060。为了覆盖这一领域,开发了大量虚拟复合图书馆;然而,汇编大量的库需要大量的计算成本。因此,为了降低计算成本,研究人员构建了针对目标疾病的定制虚拟复合库。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,系统递归地将虚拟合成反应规则应用于该化合物,以改善其性质。用户也可以追踪合成途径,因为该系统中的反应规则基于真实的有机合成反应。该系统对有效的药物设计具有有用的功能,例如结构保存,允许维持药效所需的亚结构。在本文中,为了证实定向反应集的效果,我们将反应集应用于100种化合物。此外,为了证实该系统能够重现真实的合成途径,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。

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