BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1224 related articles for article (PubMed ID: 28116998)

  • 1. Exploration of New and Potent Lead Molecules Against CAAX Prenyl Protease I of Leishmania donovani Through Pharmacophore Based Virtual Screening Approach.
    Prabhu SV; Tiwari K; Suryanarayanan V; Dubey VK; Singh SK
    Comb Chem High Throughput Screen; 2017; 20(3):255-271. PubMed ID: 28116998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Molecular docking and structure-based virtual screening studies of potential drug target, CAAX prenyl proteases, of Leishmania donovani.
    Singh S; Vijaya Prabhu S; Suryanarayanan V; Bhardwaj R; Singh SK; Dubey VK
    J Biomol Struct Dyn; 2016 Nov; 34(11):2367-86. PubMed ID: 26551589
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Evaluation of CAAX prenyl protease II of Leishmania donovani as potential drug target: Infectivity and growth of the parasite is significantly lowered after the gene knockout.
    Bhardwaj R; Das M; Singh S; Chiranjivi AK; Prabhu SV; Singh SK; Dubey VK
    Eur J Pharm Sci; 2017 May; 102():156-160. PubMed ID: 28279761
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing imidazole analogues as potential inhibitor for Leishmania donovani trypanothione reductase: virtual screening, molecular docking, dynamics and ADMET approach.
    Pandey RK; Sharma D; Bhatt TK; Sundar S; Prajapati VK
    J Biomol Struct Dyn; 2015; 33(12):2541-53. PubMed ID: 26305585
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of selective MMP-9 inhibitors through multiple e-pharmacophore, ligand-based pharmacophore, molecular docking, and density functional theory approaches.
    Jana S; Singh SK
    J Biomol Struct Dyn; 2019 Mar; 37(4):944-965. PubMed ID: 29475408
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of potential PKC inhibitors through pharmacophore designing, 3D-QSAR and molecular dynamics simulations targeting Alzheimer's disease.
    Iqbal S; Anantha Krishnan D; Gunasekaran K
    J Biomol Struct Dyn; 2018 Nov; 36(15):4029-4044. PubMed ID: 29182053
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Structure-based virtual screening, molecular docking, ADMET and molecular simulations to develop benzoxaborole analogs as potential inhibitor against Leishmania donovani trypanothione reductase.
    Pandey RK; Kumbhar BV; Sundar S; Kunwar A; Prajapati VK
    J Recept Signal Transduct Res; 2017 Feb; 37(1):60-70. PubMed ID: 27147242
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pharmacophore based virtual screening for identification of effective inhibitors to combat HPV 16 E6 driven cervical cancer.
    Mohan A; Krishnamoorthy S; Sabanayagam R; Schwenk G; Feng E; Ji HF; Muthusami S
    Eur J Pharmacol; 2023 Oct; 957():175961. PubMed ID: 37549730
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pharmacophore modeling and virtual screening in search of novel Bruton's tyrosine kinase inhibitors.
    Sharma A; Thelma BK
    J Mol Model; 2019 Jun; 25(7):179. PubMed ID: 31172362
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Discovery of promising FtsZ inhibitors by E-pharmacophore, 3D-QSAR, molecular docking study, and molecular dynamics simulation.
    Qiu Y; Zhou L; Hu Y; Bao Y
    J Recept Signal Transduct Res; 2019 Apr; 39(2):154-166. PubMed ID: 31355691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Virtual screening to identify Leishmania braziliensis N-myristoyltransferase inhibitors: pharmacophore models, docking, and molecular dynamics.
    de Carvalho Gallo JC; de Mattos Oliveira L; Araújo JSC; Santana IB; Dos Santos Junior MC
    J Mol Model; 2018 Aug; 24(9):260. PubMed ID: 30159742
    [TBL] [Abstract][Full Text] [Related]  

  • 13. High throughput virtual screening and E-pharmacophore filtering in the discovery of new BACE-1 inhibitors.
    Muthusamy K; Singh KhD; Chinnasamy S; Nagamani S; Krishnasamy G; Thiyagarajan C; Premkumar P; Anusuyadevi M
    Interdiscip Sci; 2013 Jun; 5(2):119-26. PubMed ID: 23740393
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of potential drugs against leishmaniasis targeting catalytic subunit of
    Bhowmik D; Jagadeesan R; Rai P; Nandi R; Gugan K; Kumar D
    J Biomol Struct Dyn; 2021 Mar; 39(5):1838-1852. PubMed ID: 32141397
    [No Abstract]   [Full Text] [Related]  

  • 15. Identification of potential dual agonists of FXR and TGR5 using e-pharmacophore based virtual screening.
    Sindhu T; Srinivasan P
    Mol Biosyst; 2015 May; 11(5):1305-18. PubMed ID: 25787676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. In-silico screening and validation of high-affinity tetra-peptide inhibitor of Leishmania donovani O-acetyl serine sulfhydrylase (OASS).
    Kant V; Vijayakumar S; Sahoo GC; Ali V; Singh K; Chaudhery SS; Das P
    J Biomol Struct Dyn; 2019 Feb; 37(2):481-492. PubMed ID: 29415627
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Virtual screening and structure-based 3D pharmacophore approach to identify small-molecule inhibitors of SARS-CoV-2 M
    Elseginy SA
    J Biomol Struct Dyn; 2022; 40(24):13658-13674. PubMed ID: 34676801
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Molecular Modeling and Virtual Screening Approach to Discover Potential Antileishmanial Inhibitors Against Ornithine Decarboxylase.
    Pandey RK; Prajapati P; Goyal S; Grover A; Prajapati VK
    Comb Chem High Throughput Screen; 2016; 19(10):813-823. PubMed ID: 27604958
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of novel inhibitors of dipeptidylcarboxypeptidase of Leishmania donovani via ligand-based virtual screening and biological evaluation.
    Gangwar S; Baig MS; Shah P; Biswas S; Batra S; Siddiqi MI; Goyal N
    Chem Biol Drug Des; 2012 Feb; 79(2):149-56. PubMed ID: 22014034
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ligand-based and e-pharmacophore modeling, 3D-QSAR and hierarchical virtual screening to identify dual inhibitors of spleen tyrosine kinase (Syk) and janus kinase 3 (JAK3).
    Kaur M; Silakari O
    J Biomol Struct Dyn; 2017 Nov; 35(14):3043-3060. PubMed ID: 27678281
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 62.