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Adapting CHMTRN (CHeMistry TRaNslator) for a New Use.
Journal of Chemical Information and Modeling ( IF 5.6 ) Pub Date : 2020-06-15 , DOI: 10.1021/acs.jcim.0c00448
Philip N Judson 1 , Wolf-Dietrich Ihlenfeldt 2 , Hitesh Patel 3 , Victorien Delannée 3 , Nadya Tarasova 4 , Marc C Nicklaus 3
Affiliation  

We have adopted and extended the CHMTRN language and used it for the knowledge base of a computer program to generate a large database of synthetically accessible, drug-like chemical structures, the Synthetically Accessible Virtual Inventory (SAVI) Database. CHMTRN is a powerful language originally developed in the LHASA (Logic and Heuristics Applied to Synthetic Analysis) project at Harvard University and used together with the chemical pattern description language, PATRAN, to describe chemical retro-reactions. The languages have proven to be useful beyond the design of retrosynthetic routes and have the potential for much wider use in chemistry; this paper describes CHMTRN and PATRAN as now reimplemented for the forward-synthetic SAVI project but able to describe both forward and retro-reactions.

中文翻译:

调整 CHMTRN (CHEMistry TRANslator) 以用于新用途。

我们采用并扩展了 CHMTRN 语言,并将其用于计算机程序的知识库,以生成一个可合成的、类似药物的化学结构的大型数据库,即合成可访问的虚拟清单 (SAVI) 数据库。CHMTRN 是一种强大的语言,最初是在哈佛大学的 LHASA(应用于合成分析的逻辑和启发式)项目中开发的,并与化学模式描述语言 PATRAN 一起使用来描述化学逆反应。这些语言已被证明在设计逆合成路线之外是有用的,并且有可能在化学中得到更广泛的应用;本文将 CHMTRN 和 PATRAN 描述为现在为正向合成 SAVI 项目重新实现,但能够描述正向和逆向反应。
更新日期:2020-07-27
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