FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology-Reference-Cited by-同舟云学术

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

Published:2024-04-23 Issue:9 Volume:64 Page:3812-3825
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Burger Pieter B.¹^ORCID,Hu Xiaohu²,Balabin Ilya¹,Muller Morné¹,Stanley Megan³,Joubert Fourie⁴,Kaiser Thomas M.¹^ORCID

Affiliation:

1. Avicenna Biosciences Inc., 101 W. Chapel Hill Street, Suite 210, Durham, North Carolina 27001, United States

2. Schrödinger, Inc., 120 West 45th Street, New York, New York 10036, United States

3. Microsoft Research AI4Science, 21 Station Road, Cambridge CB1 2FB, U.K.

4. Centre for Bioinformatics and Computational Biology, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0001, South Africa

Funder

Avicenna Biosciences Inc.

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c00071

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