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Journal Abstract Search
536 related items for PubMed ID: 31159491
1. A Machine Learning Approach for the Discovery of Ligand-Specific Functional Mechanisms of GPCRs. Plante A, Shore DM, Morra G, Khelashvili G, Weinstein H. Molecules; 2019 Jun 02; 24(11):. PubMed ID: 31159491 [Abstract] [Full Text] [Related]
4. Improving virtual screening of G protein-coupled receptors via ligand-directed modeling. Coudrat T, Simms J, Christopoulos A, Wootten D, Sexton PM. PLoS Comput Biol; 2017 Nov 02; 13(11):e1005819. PubMed ID: 29131821 [Abstract] [Full Text] [Related]
5. Characterization of Ligand Binding to GPCRs Through Computational Methods. Vasile S, Esguerra M, Jespers W, Oliveira A, Sallander J, Åqvist J, Gutiérrez-de-Terán H. Methods Mol Biol; 2018 Nov 02; 1705():23-44. PubMed ID: 29188557 [Abstract] [Full Text] [Related]
7. Investigating Small-Molecule Ligand Binding to G Protein-Coupled Receptors with Biased or Unbiased Molecular Dynamics Simulations. Marino KA, Filizola M. Methods Mol Biol; 2018 Nov 02; 1705():351-364. PubMed ID: 29188572 [Abstract] [Full Text] [Related]
10. Opportunities and Challenges in the Discovery of Allosteric Modulators of GPCRs. Bartuzi D, Kaczor AA, Matosiuk D. Methods Mol Biol; 2018 Nov 02; 1705():297-319. PubMed ID: 29188568 [Abstract] [Full Text] [Related]
17. Approaches for Differentiation and Interconverting GPCR Agonists and Antagonists. Miszta P, Jakowiecki J, Rutkowska E, Turant M, Latek D, Filipek S. Methods Mol Biol; 2018 Apr 02; 1705():265-296. PubMed ID: 29188567 [Abstract] [Full Text] [Related]
18. Efficiency of Homology Modeling Assisted Molecular Docking in G-protein Coupled Receptors. Bhunia SS, Saxena AK. Curr Top Med Chem; 2021 Apr 02; 21(4):269-294. PubMed ID: 32901584 [Abstract] [Full Text] [Related]
19. Virtual Screening of Human Class-A GPCRs Using Ligand Profiles Built on Multiple Ligand-Receptor Interactions. Chan WKB, Zhang Y. J Mol Biol; 2020 Aug 07; 432(17):4872-4890. PubMed ID: 32652079 [Abstract] [Full Text] [Related]
20. New Trends in Inspecting GPCR-ligand Recognition Process: the Contribution of the Molecular Modeling Section (MMS) at the University of Padova. Ciancetta A, Cuzzolin A, Deganutti G, Sturlese M, Salmaso V, Cristiani A, Sabbadin D, Moro S. Mol Inform; 2016 Sep 07; 35(8-9):440-8. PubMed ID: 27546048 [Abstract] [Full Text] [Related] Page: [Next] [New Search]