“Virtual Fragment Linking”: An Approach To Identify Potent Binders from Low Affinity Fragment Hits
Citations Over TimeTop 10% of 2008 papers
Abstract
In this work we explore the possibilities of using fragment-based screening data to prioritize compounds from a full HTS library, a method we call virtual fragment linking (VFL). The ability of VFL to identify compounds of nanomolar potency based on micromolar fragment binding data was tested on 75 target classes from the WOMBAT database and succeeded in 57 cases. Further, the method was demonstrated for seven drug targets from in-house screening programs that performed both FBS of 8800 fragments and screens of the full library. VFL captured between 28% and 67% of the hits (IC 50 < 10microM) in the top 5% of the ranked library for four of the targets (enrichment between 5-fold and 13-fold). Our findings lead us to conclude that proper coverage of chemical space by the fragment library is crucial for the VFL methodology to be successful in prioritizing HTS libraries from fragment-based screening data.
Related Papers
- → Hierarchical virtual screening approaches in small molecule drug discovery(2014)154 cited
- → MEMES: Machine learning framework for Enhanced MolEcular Screening(2021)38 cited
- → Design of a Fragment Library that maximally represents available chemical space(2011)38 cited
- → Searching for Recursively Defined Generic Chemical Patterns in Nonenumerated Fragment Spaces(2013)13 cited
- [Research progress of virtual screening aided drug discovery].(2009)