Three-Branch Molecular Representation Learning Framework for Predicting Molecular Properties in Drug Discovery-Reference-Cited by-同舟云学术

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Three-Branch Molecular Representation Learning Framework for Predicting Molecular Properties in Drug Discovery

Published:2024-07-02 Issue: Volume:33 Page:1983-1989
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Liu Yu¹,Duo Lihui²,Hirst Jonathan D.²,Rent Jianfeng¹,Tang Bencan²,Towey Dave¹

Affiliation:

1. School of Computer Science, University of Nottingham,Ningbo,China

2. School of Chemistry Engineering, University of Nottingham,Ningbo,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633636.pdf?arnumber=10633636

Reference40 articles.

1. Generic strategies for chemical space exploration

2. Gaussian gated linear networks;Budden;Advances in Neural Information Processing Systems,2020

3. Machine learning for molecular and materials science

4. The rise of deep learning in drug discovery

5. Discovery of novel SOS1 inhibitors using machine learning

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