Original paper
DeepDTAF: a deep learning method to predict protein–ligand binding affinity
Abstract
Biomolecular recognition between ligand and protein plays an essential role in drug discovery and development. However, it is extremely time and resource consuming to determine the protein-ligand binding affinity by experiments. At present, many computational methods have been proposed to predict binding affinity, most of which usually require protein 3D structures that are not often available. Therefore, new methods that can fully take...
Paper Details
Title
DeepDTAF: a deep learning method to predict protein–ligand binding affinity
Published Date
Apr 8, 2021
Journal
Volume
22
Issue
5
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