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Comprehensive 3D-QSAR Model Predicts Binding Affinity of Structurally Diverse Sigma 1 Receptor Ligands.
Peng, Youyi; Dong, Hiep; Welsh, William J.
Affiliation
  • Peng Y; Biomedical Informatics Shared Resources , Rutgers Cancer Institute of New Jersey , Rutgers, The State University of New Jersey , 195 Little Albany Street , New Brunswick , New Jersey 08903 , United States.
  • Dong H; Department of Medicinal Chemistry, Ernest Mario School of Pharmacy , Rutgers, The State University of New Jersey , 160 Frelinghuysen Road , Piscataway , New Jersey 08854 , United States.
  • Welsh WJ; Biomedical Informatics Shared Resources , Rutgers Cancer Institute of New Jersey , Rutgers, The State University of New Jersey , 195 Little Albany Street , New Brunswick , New Jersey 08903 , United States.
J Chem Inf Model ; 59(1): 486-497, 2019 01 28.
Article in En | MEDLINE | ID: mdl-30497261
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Molecular / Receptors, sigma / Quantitative Structure-Activity Relationship Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Molecular / Receptors, sigma / Quantitative Structure-Activity Relationship Type of study: Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States