A terpenoids database with the chemical content as a novel agronomic trait.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Wenqian Li, Yinliang Chen, Ruofei Yang, Zilong Hu, Shaozhong Wei, Sheng Hu, Xinjun Xiong, Meijuan Wang, Ammar Lubeiny, Xiaohua Li, Minglei Feng, Shuang Dong, Xinlu Xie, Chao Nie, Jingyi Zhang, Yunhao Luo, Yichen Zhou, Ruodi Liu, Jinhai Pan, De-Xin Kong, Xuebo Hu
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Abstract

Natural products play a pivotal role in drug discovery, and the richness of natural products, albeit significantly influenced by various environmental factors, is predominantly determined by intrinsic genetics of a series of enzymatic reactions and produced as secondary metabolites of organisms. Heretofore, few natural product-related databases take the chemical content into consideration as a prominent property. To gain unique insights into the quantitative diversity of natural products, we have developed the first TerPenoids database embedded with Content information (TPCN) with features such as compound browsing, structural search, scaffold analysis, similarity analysis and data download. This database can be accessed through a web-based computational toolkit available at http://www.tpcn.pro/. By conducting meticulous manual searches and analyzing over 10 000 reference papers, the TPCN database has successfully integrated 6383 terpenoids obtained from 1254 distinct plant species. The database encompasses exhaustive details including isolation parts, comprehensive molecule structures, chemical abstracts service registry number (CAS number) and 7508 content descriptions. The TPCN database accentuates both the qualitative and quantitative dimensions as invaluable phenotypic characteristics of natural products that have undergone genetic evolution. By acting as an indispensable criterion, the TPCN database facilitates the discovery of drug alternatives with high content and the selection of high-yield medicinal plant species or phylogenetic alternatives, thereby fostering sustainable, cost-effective and environmentally friendly drug discovery in pharmaceutical farming. Database URL: http://www.tpcn.pro/.

萜类化合物数据库,其化学成分是一种新的农艺性状。
天然产物在药物发现中起着举足轻重的作用,天然产物的丰富性尽管受各种环境因素的影响很大,但主要是由一系列酶促反应的内在遗传决定的,并作为生物体的次级代谢产物产生。迄今为止,很少有与天然产物相关的数据库将化学成分作为一个突出的属性加以考虑。为了深入了解天然产物的定量多样性,我们开发了首个嵌入内容信息的 TerPenoids 数据库(TPCN),具有化合物浏览、结构搜索、支架分析、相似性分析和数据下载等功能。该数据库可通过 http://www.tpcn.pro/ 网站上的网络计算工具包访问。通过细致的人工搜索和对 10,000 多篇参考文献的分析,TPCN 数据库已成功整合了从 1254 种不同植物中提取的 6383 种萜类化合物。该数据库包含详尽的详细信息,包括分离部位、全面的分子结构、化学文摘服务登记号(CAS 号)和 7508 项内容描述。TPCN 数据库从定性和定量两个维度强调了经历了遗传进化的天然产品的宝贵表型特征。作为一个不可或缺的标准,TPCN 数据库有助于发现高含量的药物替代品,选择高产药用植物物种或系统发育替代品,从而促进医药农业中可持续、经济高效和环保的药物发现。数据库网址:http://www.tpcn.pro/。
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
CiteScore
7.20
自引率
4.30%
发文量
567
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