Chemical Space Mimicry for Drug Discovery-Reference-Cited by-同舟云学术

Chemical Space Mimicry for Drug Discovery

Published:2017-04-03 Issue:4 Volume:57 Page:875-882
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Yuan William¹²^ORCID,Jiang Dadi²,Nambiar Dhanya K.²,Liew Lydia P.³,Hay Michael P.³,Bloomstein Joshua²,Lu Peter²,Turner Brandon²,Le Quynh-Thu²,Tibshirani Robert⁴,Khatri Purvesh²⁵,Moloney Mark G.⁶,Koong Albert C.²

Affiliation:

1. Trinity College, University of Oxford, Oxford OX1 3BH, United Kingdom

2. Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California 94305, United States

3. Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand

4. Department of Statistics, Stanford University, Stanford, California 94305, United States

5. Institute for Immunity, Transplantation, and Infection & Division of Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, California 94305, United States

6. Chemistry Research Laboratory, University of Oxford, Oxford OX1 3TA, United Kingdom

Funder

National Cancer Institute

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.6b00754

Reference15 articles.

1. Stochastic Voyages into Uncharted Chemical Space Produce a Representative Library of All Possible Drug-Like Compounds

2. Strategy To Discover Diverse Optimal Molecules in the Small Molecule Universe

3. ChemBank: a small-molecule screening and cheminformatics resource database

4. Karpathy, A.Multi-layer Recurrent Neural Networks for character-level language models in Torch (2015) .https://github.com/karpathy/char-rnn(accessed September 15, 2016).

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