Application of 3D atom pair map in an attention model for enhanced drug virtual screening

This study demonstrates the utility of a novel molecular representation, 3D APM and a deep learning model based on it for virtual screening, suggesting that many other prediction models would also benefit from adopting APM. An open-source script to generate 3D APM is available at https://github.com/rimeless/APM.

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Publication Details

Journal
Journal of Cheminformatics
Published
2025-05-05
DOI
https://doi.org/10.1186/s13321-025-01023-2
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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article

Application of 3D atom pair map in an attention model for enhanced drug virtual screening

Wankyu Kim, Geun-Hyeok Ryu
1 citations
Journal of Cheminformatics
Computational Drug Discovery Methods
1.50
article

Application of 3D atom pair map in an attention model for enhanced drug virtual screening

Wankyu Kim, Geun-Hyeok Ryu
article en
1 citations

Abstract

This study demonstrates the utility of a novel molecular representation, 3D APM and a deep learning model based on it for virtual screening, suggesting that many other prediction models would also benefit from adopting APM. An open-source script to generate 3D APM is available at https://github.com/rimeless/APM.

Journal of CheminformaticsVol. 17(1)
Ewha Womans University (KR)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 17%
Computational Drug Discovery Methods
1.50
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