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eCounterscreening: using QSAR predictions to prioritize testing for off-target activities and setting the balance between benefit and risk.
Sheridan, Robert P; McMasters, Daniel R; Voigt, Johannes H; Wildey, Mary Jo.
Affiliation
  • Sheridan RP; Structural Chemistry, Merck Research Laboratories , P.O. Box 2000, Rahway, New Jersey 07065, United States.
J Chem Inf Model ; 55(2): 231-8, 2015 Feb 23.
Article in En | MEDLINE | ID: mdl-25551659
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Structure-Activity Relationship / High-Throughput Screening Assays Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2015 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Structure-Activity Relationship / High-Throughput Screening Assays Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2015 Document type: Article Affiliation country: United States Country of publication: United States