Computational prediction of drug phenotypiceffects based on substructure-phenotype associations-Reference-Cited by-同舟云学术

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Computational prediction of drug phenotypiceffects based on substructure-phenotype associations

Published:2022 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Yang Jingbo,Zhang Denan,Cai Yiyang,Yu Kexin,Li Mingming,Liu Lei,Chen Xiujie

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09726867.pdf?arnumber=9726867

Reference65 articles.

1. Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models

2. The SIDER database of drugs and side effects

3. Developing an in silico pipeline for faster drug candidate discovery: Virtual high throughput screening with the Signature molecular descriptor using support vector machine models

4. The Pfam protein families database: towards a more sustainable future

5. 3D-QSAR in Drug Design - A Review

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