HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein–Ligand Binding Affinity Prediction-Reference-Cited by-同舟云学术

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HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein–Ligand Binding Affinity Prediction

Published:2023-03-29 Issue:7 Volume:63 Page:1947-1960
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Kyro Gregory W.¹^ORCID,Brent Rafael I.¹^ORCID,Batista Victor S.¹^ORCID

Affiliation:

1. Department of Chemistry, Yale University, New Haven, Connecticut 06511-8499 United States

Funder

National Institutes of Health

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00251

Reference87 articles.

1. Protein–Ligand Interactions: General Description

2. Machine learning and complex biological data

3. A guide to machine learning for biologists

4. Highly accurate protein structure prediction with AlphaFold

5. Machine learning for chemical discovery

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