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DAT/SERT selectivity of flexible GBR 12909 analogs modeled using 3D-QSAR methods

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Year: 2006
Type: article
Source: Bioorganic & Medicinal Chemistry
DOI: 10.1016/j.bmc.2006.09.070
Authors: Kathleen M. Gilbert, Terrence L. Boos, Christina M. Dersch, Elisabeth Greiner, Arthur E. Jacobson, David Lewis, Dorota Matecka, Thomas E. Prisinzano, Ying Zhang, Richard B. Rothman, Kenner C. Rice, Carol A. Venanzi
Institutions: New Jersey Institute of Technology, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute on Drug Abuse
Language: English

Topic: Computational Drug Discovery Methods
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Drug Abuse
Awards: G2061178825, Multivariate, Cluster, and CoMFA Analysis of GBR Analogs, G2832248253, G4985089778, G5788759743, G8788341609
OpenAlex ID: W2115568339
FWCI: 0.68
Cites: 57
Cited by: 13
Related to: 10
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