4.4 Article

Scaffold-Hopping Potential of Fragment-Based De Novo Design: The Chances and Limits of Variation

期刊

出版社

BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/138620709788167971

关键词

Drug discovery; de novo design; machine learning; scaffold-hopping; similarity; building block

资金

  1. Beilstein-Institut zur Forderung der Chemischen Wissenschaften
  2. Deutsche Forschungsgemeinschaft [SFB 579]

向作者/读者索取更多资源

The identification of new lead structures is a pivotal task in early drug discovery. Molecular de novo design of ligand structures has been successfully applied in various drug discovery projects. Still, the question of the scaffold hopping potential of drug design by adaptive evolutionary optimization has been left unanswered. It was unclear whether de novo design is actually able to leap away from given chemotypes (activity islands), allowing for rescaffolding of compounds. We have addressed these questions by scrutinizing different scoring functions of our de novo design software Flux for their ability to enable scaffold-hops for various target classes. We evaluated both the potential bioactivity and the scaffold diversity of de novo generated structures. For several target classes, known lead structures were reconstructed by the de novo algorithm (lead-hopping). We demonstrate that for one or multiple templates of a given chemotype, other chemotypes are reached during de novo compound generation, thus indicating successful scaffold-hops.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据