These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

431 related items for PubMed ID: 31005679

  • 1. Applications of machine learning in GPCR bioactive ligand discovery.
    Jabeen A, Ranganathan S.
    Curr Opin Struct Biol; 2019 Apr; 55():66-76. PubMed ID: 31005679
    [Abstract] [Full Text] [Related]

  • 2.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 3. Established and In-trial GPCR Families in Clinical Trials: A Review for Target Selection.
    Saikia S, Bordoloi M, Sarmah R.
    Curr Drug Targets; 2019 Apr; 20(5):522-539. PubMed ID: 30394207
    [Abstract] [Full Text] [Related]

  • 4. Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition.
    Raschka S, Kaufman B.
    Methods; 2020 Aug 01; 180():89-110. PubMed ID: 32645448
    [Abstract] [Full Text] [Related]

  • 5. Trends in application of advancing computational approaches in GPCR ligand discovery.
    Zhu S, Wu M, Huang Z, An J.
    Exp Biol Med (Maywood); 2021 May 01; 246(9):1011-1024. PubMed ID: 33641446
    [Abstract] [Full Text] [Related]

  • 6.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 7. 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]

  • 8. Chemogenomic approaches for the exploration of GPCR space.
    Weill N.
    Curr Top Med Chem; 2011 Jun 02; 11(15):1944-55. PubMed ID: 21470168
    [Abstract] [Full Text] [Related]

  • 9. G protein-coupled receptor transmembrane binding pockets and their applications in GPCR research and drug discovery: a survey.
    Kratochwil NA, Gatti-McArthur S, Hoener MC, Lindemann L, Christ AD, Green LG, Guba W, Martin RE, Malherbe P, Porter RH, Slack JP, Winnig M, Dehmlow H, Grether U, Hertel C, Narquizian R, Panousis CG, Kolczewski S, Steward L.
    Curr Top Med Chem; 2011 Jun 02; 11(15):1902-24. PubMed ID: 21470172
    [Abstract] [Full Text] [Related]

  • 10. Fragment-based lead discovery on G-protein-coupled receptors.
    Visegrády A, Keserű GM.
    Expert Opin Drug Discov; 2013 Jul 02; 8(7):811-20. PubMed ID: 23621346
    [Abstract] [Full Text] [Related]

  • 11. Methods for Virtual Screening of GPCR Targets: Approaches and Challenges.
    Cross JB.
    Methods Mol Biol; 2018 Jul 02; 1705():233-264. PubMed ID: 29188566
    [Abstract] [Full Text] [Related]

  • 12. Molecular interaction fingerprint approaches for GPCR drug discovery.
    Vass M, Kooistra AJ, Ritschel T, Leurs R, de Esch IJ, de Graaf C.
    Curr Opin Pharmacol; 2016 Oct 02; 30():59-68. PubMed ID: 27479316
    [Abstract] [Full Text] [Related]

  • 13. Chemical Diversity in the G Protein-Coupled Receptor Superfamily.
    Vass M, Kooistra AJ, Yang D, Stevens RC, Wang MW, de Graaf C.
    Trends Pharmacol Sci; 2018 May 02; 39(5):494-512. PubMed ID: 29576399
    [Abstract] [Full Text] [Related]

  • 14. G-protein-coupled receptor-focused drug discovery using a target class platform approach.
    Heilker R, Wolff M, Tautermann CS, Bieler M.
    Drug Discov Today; 2009 Mar 02; 14(5-6):231-40. PubMed ID: 19121411
    [Abstract] [Full Text] [Related]

  • 15. QSAR modeling of GPCR ligands: methodologies and examples of applications.
    Tropsha A, Wang SX.
    Ernst Schering Found Symp Proc; 2006 Mar 02; (2):49-73. PubMed ID: 17703577
    [Abstract] [Full Text] [Related]

  • 16. GLIDA: GPCR-ligand database for chemical genomic drug discovery.
    Okuno Y, Yang J, Taneishi K, Yabuuchi H, Tsujimoto G.
    Nucleic Acids Res; 2006 Jan 01; 34(Database issue):D673-7. PubMed ID: 16381956
    [Abstract] [Full Text] [Related]

  • 17. Characterizing common substructures of ligands for GPCR protein subfamilies.
    Erguner B, Hattori M, Goto S, Kanehisa M.
    Genome Inform; 2010 Jan 01; 24():31-41. PubMed ID: 22081587
    [Abstract] [Full Text] [Related]

  • 18. Machine Learning Assisted Approach for Finding Novel High Activity Agonists of Human Ectopic Olfactory Receptors.
    Jabeen A, de March CA, Matsunami H, Ranganathan S.
    Int J Mol Sci; 2021 Oct 26; 22(21):. PubMed ID: 34768977
    [Abstract] [Full Text] [Related]

  • 19. A machine learning model for classifying G-protein-coupled receptors as agonists or antagonists.
    Oh J, Ceong HT, Na D, Park C.
    BMC Bioinformatics; 2022 Aug 18; 23(Suppl 9):346. PubMed ID: 35982407
    [Abstract] [Full Text] [Related]

  • 20. Computational approaches for ligand discovery and design in class-A G protein- coupled receptors.
    Rodríguez D, Gutiérrez-de-Terán H.
    Curr Pharm Des; 2013 Aug 18; 19(12):2216-36. PubMed ID: 23016842
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 22.