Ligand-Based Compound Activity Prediction via Few-Shot Learning-Reference-Cited by-同舟云学术

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Ligand-Based Compound Activity Prediction via Few-Shot Learning

Published:2024-07-01 Issue:14 Volume:64 Page:5492-5499
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Eckmann Peter¹^ORCID,Anderson Jake²^ORCID,Yu Rose¹,Gilson Michael K.²³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, UC San Diego, La Jolla, California 92093, United States

2. Department of Chemistry and Biochemistry, UC San Diego, La Jolla, California 92093, United States

3. Skaggs School of Pharmacy and Pharmaceutical Sciences, UC San Diego, La Jolla, California 92093, United States

Funder

Center for Forecasting and Outbreak Analytics

Division of Emerging Frontiers and Multidisciplinary Activities

Intelligence Advanced Research Projects Activity

Office of Science

National Institute of General Medical Sciences

Division of Information and Intelligent Systems

Army-ECASE

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00485

Reference45 articles.

1. Artificial intelligence in drug discovery and development

2. Applications of machine learning in drug discovery and development

3. How Phenotypic Screening Influenced Drug Discovery: Lessons from Five Years of Practice

4. Recent advances in phenotypic drug discovery

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