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巴西化合物库(BraCoLi)数据库:一个用于药物设计的化学和生物学信息库。

The Brazilian compound library (BraCoLi) database: a repository of chemical and biological information for drug design.

机构信息

Departamento de Produtos Farmacêuticos, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.

出版信息

Mol Divers. 2022 Dec;26(6):3387-3397. doi: 10.1007/s11030-022-10386-9. Epub 2022 Jan 28.

Abstract

The Brazilian Compound Library (BraCoLi) is a novel open access and manually curated electronic library of compounds developed by Brazilian research groups to support further computer-aided drug design works, available on https://www.farmacia.ufmg.br/qf/downloads/ . Herein, the first version of the database is described comprising 1176 compounds. Also, the chemical diversity and drug-like profiles of BraCoLi were defined to analyze its chemical space. A significant amount of the compounds fitted Lipinski and Veber's rules, alongside other drug-likeness properties. A comparison using principal component analysis showed that BraCoLi is similar to other databases (FDA-approved drugs and NuBBE) regarding structural and physicochemical patterns. Furthermore, a scaffold analysis showed that BraCoLi presents several privileged chemical skeletons with great diversity. Despite the similar distribution in the structural and physicochemical spaces, Tanimoto coefficient values indicated that compounds present in the BraCoLi are generally different from the two other databases, where they showed different kernel distributions and low similarity. These facts show an interesting innovative aspect, which is a desirable feature for novel drug design purposes.

摘要

巴西化合物库(BraCoLi)是一个新的开放获取的化合物电子库,由巴西研究团队开发,旨在支持进一步的计算机辅助药物设计工作,可在 https://www.farmacia.ufmg.br/qf/downloads/ 上获取。在此,描述了数据库的第一个版本,其中包含 1176 个化合物。此外,还定义了 BraCoLi 的化学多样性和类药性特征,以分析其化学空间。大量化合物符合 Lipinski 和 Veber 规则以及其他类药性特征。主成分分析的比较表明,BraCoLi 在结构和物理化学模式方面与其他数据库(FDA 批准的药物和 NuBBE)相似。此外,支架分析表明,BraCoLi 具有多种不同的优势化学骨架。尽管在结构和物理化学空间中分布相似,但 Tanimoto 系数值表明,BraCoLi 中的化合物通常与另外两个数据库不同,它们表现出不同的核分布和低相似度。这些事实表明了一个有趣的创新方面,这是新药物设计目的的理想特征。

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