Imputation of Assay Bioactivity Data Using Deep Learning-Reference-Cited by-同舟云学术

Imputation of Assay Bioactivity Data Using Deep Learning

Published:2019-02-12 Issue:3 Volume:59 Page:1197-1204
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Whitehead T. M.¹^ORCID,Irwin B. W. J.²,Hunt P.²^ORCID,Segall M. D.²^ORCID,Conduit G. J.¹³

Affiliation:

1. Intellegens, Eagle Labs, Chesterton Road, Cambridge CB4 3AZ, United Kingdom

2. Optibrium, F5-6 Blenheim House, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9PB, United Kingdom

3. Cavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom

Funder

Royal Society

Gonville and Caius College, University of Cambridge

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.8b00768

Reference41 articles.

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4. Wold, S.; Sjostrom, M.; Eriksson, L. In The Encyclopedia of Computational Chemistry; Schleyer, P., Allinger, N., Clark, T., Gasteiger, J., Kollman, P., Schaefer, III, H. P. S., Eds. John Wiley and Sons, Chichester, UK, 1999; pp 1–16.

5. Selectivity Data: Assessment, Predictions, Concordance, and Implications

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