graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction-Reference-Cited by-同舟云学术

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graphLambda: Fusion Graph Neural Networks for Binding Affinity Prediction

Published:2024-02-17 Issue:7 Volume:64 Page:2323-2330
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Mqawass Ghaith¹²^ORCID,Popov Petr³⁴^ORCID

Affiliation:

1. Faculty of Computer Science, University of Vienna, Vienna A-1090, Austria

2. UniVie Doctoral School Computer Science, University of Vienna, Vienna A-1090, Austria

3. Tetra-d, Rheinweg 9, Schaffhausen 8200, Switzerland

4. School of Science, Constructor University Bremen gGmbH, Bremen 28759, Germany

Funder

Vienna Science and Technology Fund

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00771

Reference50 articles.

1. Computational approaches streamlining drug discovery

2. Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review

3. Best Practices for QSAR Model Development, Validation, and Exploitation

4. Corso, G.; Stärk, H.; Jing, B.; Barzilay, R.; Jaakkola, T. DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking arXiv. 2023.10.48550/arXiv.2210.01776

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction;Briefings in Bioinformatics;2024-05-23

2. Editorial: Machine Learning in Bio-cheminformatics;Journal of Chemical Information and Modeling;2024-04-08

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