马来西亚天然产物数据库:马来西亚天然化合物的结构储存库。

IF 2.3 3区 化学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Khai-Lin Hew, Chze-Yin Tan, Yeun-Mun Choo
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引用次数: 0

摘要

马来西亚天然产物(MyNP)数据库是一个专门的资源,旨在支持天然产物研究,药物发现和化学信息学。MyNP通过从SciFinder搜索和期刊出版物手动管理中收集的大量数据开发而成,包含1999种独特的天然产物结构。该数据库具有详细的分类系统,其中生物碱(32%)、倍半萜类(10%)和类黄酮(8%)代表了最突出的化学类别。它还包括关键的分子描述符,如二维结构、CAS号、IUPAC名称、分子量、理化性质和安全相关参数,使其非常适合于计算分析。此外,对数据库的分析确定了730种类似药物的结构,这些结构符合Lipinski的五项规则,并满足额外的安全标准,包括无致突变性、致瘤性、生殖性和刺激性作用,以及排除不利的功能基团和泛检测干扰化合物模式。与大型、完善的数据库相比,MyNP提供了以马来西亚天然产品为中心的区域集中数据集,有效地将生物多样性驱动的研究与化学信息学应用相结合。它的离线可访问性、结构化分类和成本效益设计使其成为药物发现中结构-活性关系研究和计算筛选的宝贵资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Malaysian Natural Product Database: A Structure Repository of Malaysia's Natural Compounds.

The Malaysian Natural Product (MyNP) Database is a specialized resource designed to support natural product research, drug discovery, and cheminformatics. Developed through extensive data collection from SciFinder searches and manual curation of journal publications, MyNP comprises 1999 unique natural product structures. The database features a detailed classification system, with alkaloids (32%), sesquiterpenoids (10%), and flavonoids (8%) representing the most prominent chemical classes. It also includes key molecular descriptors such as two-dimensional structures, CAS numbers, IUPAC names, molecular weight, physicochemical properties, and safety-related parameters, making it highly suitable for computational analysis. Additionally, an analysis of the database identified 730 drug-like structures that comply with Lipinski's Rule of Five and meet additional safety criteria, including the absence of mutagenic, tumorigenic, reproductive, and irritant effects, as well as the exclusion of unfavorable functional groups and Pan-Assay Interference Compounds patterns. Compared to larger, well-established databases, MyNP offers a regionally focused dataset centered on Malaysia's natural products, effectively integrating biodiversity-driven research with cheminformatics applications. Its offline accessibility, structured classification, and cost-effective design make it a valuable resource for structure-activity relationship studies and computational screening in drug discovery.

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来源期刊
Chemistry & Biodiversity
Chemistry & Biodiversity 环境科学-化学综合
CiteScore
3.40
自引率
10.30%
发文量
475
审稿时长
2.6 months
期刊介绍: Chemistry & Biodiversity serves as a high-quality publishing forum covering a wide range of biorelevant topics for a truly international audience. This journal publishes both field-specific and interdisciplinary contributions on all aspects of biologically relevant chemistry research in the form of full-length original papers, short communications, invited reviews, and commentaries. It covers all research fields straddling the border between the chemical and biological sciences, with the ultimate goal of broadening our understanding of how nature works at a molecular level. Since 2017, Chemistry & Biodiversity is published in an online-only format.
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