PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning-Reference-Cited by-同舟云学术

PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning

Published:2024-02 Issue: Volume:169 Page:107862
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Chen Lei^ORCID,Xu Jing^ORCID,Zhou Yubin

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference46 articles.

1. What do medicinal chemists actually make? A 50-year retrospective;Walters;J. Med. Chem.,2011

2. Trends in clinical success rates and therapeutic focus;Dowden;Nat. Rev. Drug Discov.,2019

3. SuperPred: drug classification and target prediction;Dunkel;Nucleic Acids Res.,2008

4. SuperPred: update on drug classification and target prediction;Nickel;Nucleic Acids Res.,2014

5. Predicting anatomical therapeutic chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities;Chen;PLoS One,2012

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