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New D2R partial agonist candidates: an in silico approach from statistical models, molecular docking, and ADME/Tox properties

da Silva, Aldineia P., Chiari, Laise P. A., R. Guimaraes, Amanda, Honorio, Kathia M., da Silva, Albérico B. F. (2021) New D2R partial agonist candidates: an in silico approach from statistical models, molecular docking, and ADME/Tox properties. Structural Chemistry, 32 (5). pp. 2019-2033. ISSN 1040-0400. (doi:10.1007/s11224-021-01742-w) (KAR id:115836)

Item Type: Article
DOI/Identification number: 10.1007/s11224-021-01742-w
Institutional Unit: Schools > School of Social Sciences
Former Institutional Unit:
There are no former institutional units.
Funders: Coordenação de Aperfeicoamento de Pessoal de Nível Superior (https://ror.org/00x0ma614)
National Council for Scientific and Technological Development (https://ror.org/03swz6y49)
Depositing User: Amanda Ribeiro Guimaraes
Date Deposited: 05 Aug 2026 16:17 UTC
Last Modified: 11 Aug 2026 14:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/115836 (The current URI for this page, for reference purposes)

University of Kent Author Information

R. Guimaraes, Amanda.

Creator's ORCID: https://orcid.org/0000-0001-8732-1699
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