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Original Articles

Hierarchical virtual screening: identification of potential high-affinity and selective β3-adrenergic receptor agonists

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Pages 389-407 | Received 26 Aug 2011, Accepted 04 Nov 2011, Published online: 27 Mar 2012

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Articles from other publishers (5)

Navista Sri Octa Ujiantari, Seungmin Ham, Chisae Nagiri, Wataru Shihoya, Osamu Nureki, Dana Sabine Hutchinson & Daniela Schuster. (2022) Pharmacophore‐guided Virtual Screening to Identify New β 3 ‐adrenergic Receptor Agonists . Molecular Informatics 41:7, pages 2100223.
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Shome S. Bhunia & Anil K. Saxena. (2021) Efficiency of Homology Modeling Assisted Molecular Docking in G-protein Coupled Receptors. Current Topics in Medicinal Chemistry 21:4, pages 269-294.
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Marcos Lorca, Cesar Morales-Verdejo, David Vásquez-Velásquez, Juan Andrades-Lagos, Javier Campanini-Salinas, Jorge Soto-Delgado, Gonzalo Recabarren-Gajardo & Jaime Mella. (2018) Structure-Activity Relationships Based on 3D-QSAR CoMFA/CoMSIA and Design of Aryloxypropanol-Amine Agonists with Selectivity for the Human β3-Adrenergic Receptor and Anti-Obesity and Anti-Diabetic Profiles. Molecules 23:5, pages 1191.
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Hanzi Sun, Lifeng Zhao, Shiming Peng & Niu Huang. (2014) Incorporating replacement free energy of binding-site waters in molecular docking. Proteins: Structure, Function, and Bioinformatics 82:9, pages 1765-1776.
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Maninder Kaur, Archna Kumari, Malkeet Singh Bahia & Om Silakari. (2013) Designing of new multi-targeted inhibitors of spleen tyrosine kinase (Syk) and zeta-associated protein of 70kDa (ZAP-70) using hierarchical virtual screening protocol. Journal of Molecular Graphics and Modelling 39, pages 165-175.
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