Development of an Antiviral Medicinal Plant and Natural Product Database (avMpNp Database) from Biodiversity.

IF 2.3 3区 化学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Daniela Quadros de Azevedo, João Vinícius Viera Nóia, Yasmim Carla M Ribeiro, Raphael Alves Dos Reis, Paulo Henrique Otoni Ribeiro, Gustavo Almeida Moura, Pamela Mendes, Ana Beatriz Barbosa de Souza, Sofia Carpini Mermejo, Mateus Sá Magalhães Serafim, Thaís Helena Maciel Fernandes, Anthony J O'Donoghue, Alessandra C Faria Aguiar Campos, Sérgio Vale Aguiar Campos, Vinícius Gonçalves Maltarollo, Rachel Oliveira Castilho
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Abstract

The construction of compound databases (DB) is a strategy for the rational search of bioactive compounds and drugs for new and old diseases. In order to bring greater impact to drug discovery, we propose the development of a DB of bioactive antiviral compounds. Several research groups have presented evidence of the antiviral activity of medicinal plants and compounds isolated from these plants. We believe that compiling these discoveries in a DB would benefit the scientific research community and increase the speed to discover new potential drugs and medicines. Thus, we present the Antiviral Medicinal Plant and Natural Product DB (avMpNp DB) as an important source for acquiring, organizing, and distributing knowledge related to natural products and antiviral drug discovery. The avMpNp DB contains a series of chemically diverse compounds with drug-like profiles. To test the potential of this DB, SARS-CoV-2 Mpro and PLpro enzymatic inhibition assays were performed for available compounds resulting in IC50 values ranging from 6.308±0.296 to 15.795±0.155 μM. As a perspective, artificial intelligence tools will be added to implement computational predictions, as well as other chemical functionalities that allow data validation.

从生物多样性中开发抗病毒药用植物和天然产品数据库(avMpNp 数据库)。
构建化合物数据库(DB)是合理寻找生物活性化合物和新旧疾病药物的一种策略。为了给药物发现带来更大的影响,我们建议开发生物活性抗病毒化合物数据库。一些研究小组已经提出了药用植物和从这些植物中分离出来的化合物具有抗病毒活性的证据。我们相信,将这些发现汇编到数据库中将有利于科研界,并加快发现新的潜在药物和药品的速度。因此,我们提出了抗病毒药用植物和天然产品数据库(avMpNp DB),作为获取、组织和传播天然产品和抗病毒药物发现相关知识的重要来源。avMpNp 数据库包含一系列具有药物特征的化学多样性化合物。为测试该数据库的潜力,对现有化合物进行了 SARS-CoV-2 Mpro 和 PLpro 酶抑制试验,结果显示 IC50 值范围为 6.308±0.296 至 15.795±0.155 μM。展望未来,还将增加人工智能工具来实现计算预测,以及其他化学功能,以便进行数据验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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