Theoretical and Computational Chemistry

A Deep Learning Based Scaffold Hopping Strategy for the Design of Kinase Inhibitors

Authors

Abstract

Scaffold hopping is a widely used strategy for drug design towards kinase inhibitors. In current study, we proposed a fragment-based deep learning strategy for scaffold hopping towards the conserved hinge binding motif of kinase inhibitors in a large scale.

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pre-submission version

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