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Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges

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Year: 2018
Type: article
Source: Journal of Computer-Aided Molecular Design
DOI: 10.1007/s10822-018-0146-6
Authors: Duc Duy Nguyen, Zixuan Cang, Kedi Wu, Menglun Wang, Yin Cao, Guo-Wei Wei
Institution: Michigan State University
Language: English

Topic: Computational Drug Discovery Methods
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institute of General Medical Sciences
Awards: FRG: Collaborative Research: Variational multiscale approaches to biomolecular structure, dynamics and transport, III: Medium: Geometric and topological approaches to biomolecular structure and dynamics, Synergistic integration of topology and machine learning for the predictions of protein-ligand binding affinities and mutation impacts, Kinetics-Driven Drug Discovery Using Persistent Homology, Rare-Event Molecular Dynamics and Experimental Data
OpenAlex ID: W2963883198
FWCI: 11.83
Cites: 70
Cited by: 155
Related to: 10
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