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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 27291469)

  • 1. Multi-level structure-based pharmacophore modelling of caspase-3-non-peptide complexes: Extracting essential pharmacophore features and its application to virtual screening.
    Kumar SP; Jha PC
    Chem Biol Interact; 2016 Jul; 254():207-20. PubMed ID: 27291469
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-Pharmacophore Modeling of Caspase-3 Inhibitors using Crystal, Dock and Flexible Conformation Schemes.
    Kumar SP; Jha PC
    Comb Chem High Throughput Screen; 2018; 21(1):26-40. PubMed ID: 29295689
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Molecular dynamics-assisted pharmacophore modeling of caspase-3-isatin sulfonamide complex: Recognizing essential intermolecular contacts and features of sulfonamide inhibitor class for caspase-3 binding.
    Kumar SP; Patel CN; Jha PC; Pandya HA
    Comput Biol Chem; 2017 Dec; 71():117-128. PubMed ID: 29153890
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploration of the structural requirements of HIV-protease inhibitors using pharmacophore, virtual screening and molecular docking approaches for lead identification.
    Islam MA; Pillay TS
    J Mol Graph Model; 2015 Mar; 56():20-30. PubMed ID: 25541527
    [TBL] [Abstract][Full Text] [Related]  

  • 5. E-pharmacophore-based virtual screening to identify GSK-3β inhibitors.
    Natarajan P; Priyadarshini V; Pradhan D; Manne M; Swargam S; Kanipakam H; Bhuma V; Amineni U
    J Recept Signal Transduct Res; 2016 Oct; 36(5):445-58. PubMed ID: 27305963
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New strategy for receptor-based pharmacophore query construction: a case study for 5-HT₇ receptor ligands.
    Kurczab R; Bojarski AJ
    J Chem Inf Model; 2013 Dec; 53(12):3233-43. PubMed ID: 24245803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In silico design of human IMPDH inhibitors using pharmacophore mapping and molecular docking approaches.
    Li RJ; Wang YL; Wang QH; Wang J; Cheng MS
    Comput Math Methods Med; 2015; 2015():418767. PubMed ID: 25784957
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving VEGFR-2 docking-based screening by pharmacophore postfiltering and similarity search postprocessing.
    Planesas JM; Claramunt RM; Teixidó J; Borrell JI; Pérez-Nueno VI
    J Chem Inf Model; 2011 Apr; 51(4):777-87. PubMed ID: 21417262
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Energy-Based Pharmacophore and Three-Dimensional Quantitative Structure--Activity Relationship (3D-QSAR) Modeling Combined with Virtual Screening To Identify Novel Small-Molecule Inhibitors of Silent Mating-Type Information Regulation 2 Homologue 1 (SIRT1).
    Pulla VK; Sriram DS; Viswanadha S; Sriram D; Yogeeswari P
    J Chem Inf Model; 2016 Jan; 56(1):173-87. PubMed ID: 26636371
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pharmacophore-based virtual screening for identification of potential selective inhibitors of human histone deacetylase 6.
    Uba AI; Yelekçi K
    Comput Biol Chem; 2018 Dec; 77():318-330. PubMed ID: 30463049
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An extensive and diverse set of molecular overlays for the validation of pharmacophore programs.
    Giangreco I; Cosgrove DA; Packer MJ
    J Chem Inf Model; 2013 Apr; 53(4):852-66. PubMed ID: 23565904
    [TBL] [Abstract][Full Text] [Related]  

  • 12. In-Silico Screening of Ligand Based Pharmacophore, Database Mining and Molecular Docking on 2, 5-Diaminopyrimidines Azapurines as Potential Inhibitors of Glycogen Synthase Kinase-3β.
    Mishra P; Kesar S; Paliwal SK; Chauhan M; Madan K
    Cent Nerv Syst Agents Med Chem; 2018; 18(2):150-158. PubMed ID: 29848281
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Receptor pharmacophore ensemble (REPHARMBLE): a probabilistic pharmacophore modeling approach using multiple protein-ligand complexes.
    Kumar SP
    J Mol Model; 2018 Sep; 24(10):282. PubMed ID: 30220049
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Molecular Dynamics-Shared Pharmacophore Approach to Boost Early-Enrichment Virtual Screening: A Case Study on Peroxisome Proliferator-Activated Receptor α.
    Perricone U; Wieder M; Seidel T; Langer T; Padova A; Almerico AM; Tutone M
    ChemMedChem; 2017 Aug; 12(16):1399-1407. PubMed ID: 28135036
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rational approach to identify newer caspase-1 inhibitors using pharmacophore based virtual screening, docking and molecular dynamic simulation studies.
    Patel S; Modi P; Chhabria M
    J Mol Graph Model; 2018 May; 81():106-115. PubMed ID: 29549805
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A systematic methodology for large scale compound screening: A case study on the discovery of novel S1PL inhibitors.
    Deniz U; Ozkirimli E; Ulgen KO
    J Mol Graph Model; 2016 Jan; 63():110-24. PubMed ID: 26724452
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pharmacophore modelling as a virtual screening tool for the discovery of small molecule protein-protein interaction inhibitors.
    Voet A; Zhang KY
    Curr Pharm Des; 2012; 18(30):4586-98. PubMed ID: 22650262
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of novel inhibitors against Mycobacterium tuberculosis L-alanine dehydrogenase (MTB-AlaDH) through structure-based virtual screening.
    Saxena S; Devi PB; Soni V; Yogeeswari P; Sriram D
    J Mol Graph Model; 2014 Feb; 47():37-43. PubMed ID: 24316937
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Virtual Screening Using Pharmacophore Models Retrieved from Molecular Dynamic Simulations.
    Polishchuk P; Kutlushina A; Bashirova D; Mokshyna O; Madzhidov T
    Int J Mol Sci; 2019 Nov; 20(23):. PubMed ID: 31757043
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combination of pharmacophore modeling and 3D-QSAR analysis of potential glyoxalase-I inhibitors as anticancer agents.
    Al-Sha'er MA; Al-Balas QA; Hassan MA; Al Jabal GA; Almaaytah AM
    Comput Biol Chem; 2019 Jun; 80():102-110. PubMed ID: 30947068
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.