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Knowledge-Based Methods To Train and Optimize Virtual Screening Ensembles.
Swift, Robert V; Jusoh, Siti A; Offutt, Tavina L; Li, Eric S; Amaro, Rommie E.
Affiliation
  • Swift RV; Department of Chemistry and Biochemistry, University of California, San Diego , La Jolla, California 92093-0340, United States.
  • Jusoh SA; Faculty of Pharmacy, Universiti Teknologi MARA , 42300 Bandar Puncak Alam, Malaysia.
  • Offutt TL; Department of Chemistry and Biochemistry, University of California, San Diego , La Jolla, California 92093-0340, United States.
  • Li ES; Department of Chemistry and Biochemistry, University of California, San Diego , La Jolla, California 92093-0340, United States.
  • Amaro RE; Department of Chemistry and Biochemistry, University of California, San Diego , La Jolla, California 92093-0340, United States.
J Chem Inf Model ; 56(5): 830-42, 2016 05 23.
Article in En | MEDLINE | ID: mdl-27097522
Subject(s)
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Full text: 1 Database: MEDLINE Main subject: Drug Evaluation, Preclinical / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2016 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Drug Evaluation, Preclinical / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2016 Type: Article Affiliation country: United States