iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding-Reference-Cited by-同舟云学术

iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding

Published:2021-10-21 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Nguyen-Vo Thanh-Hoang¹^ORCID,Trinh Quang H.²^ORCID,Nguyen Loc²^ORCID,Nguyen-Hoang Phuong-Uyen²^ORCID,Nguyen Thien-Ngan²^ORCID,Nguyen Dung T.³^ORCID,Nguyen Binh P.¹^ORCID,Le Ly²⁴^ORCID

Affiliation:

1. School of Mathematics and Statistics, Victoria University of Wellington, Kelburn Parade, Wellington 6140, New Zealand

2. Computational Biology Center, International University−VNU HCMC, Ho Chi Minh City 700000, Vietnam

3. School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi 100000, Vietnam

4. Vingroup Big Data Institute, Ha Noi 100000, Vietnam

Funder

Asian Office of Aerospace Research and Development

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.1c00628

Reference58 articles.

1. Pharmacogenomics: Translating Functional Genomics into Rational Therapeutics

2. Prediction of Human Cytochrome P450 Inhibition Using a Multitask Deep Autoencoder Neural Network

3. Computational Models for Predicting Interactions with Cytochrome p450 Enzyme

4. Science, medicine, and the future: Pharmacogenetics

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