BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 32881663)

  • 1. Interpretable SMILES-based QSAR Model of Inhibitory Activity of Sirtuins 1 and 2.
    Worachartcheewan A; Toropova AP; Toropov AA; Pratiwi R; Prachayasittikul V; Nantasenamat C
    Comb Chem High Throughput Screen; 2021; 24(8):1217-1228. PubMed ID: 32881663
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use of the Monte Carlo Method for OECD Principles-Guided QSAR Modeling of SIRT1 Inhibitors.
    Kumar A; Chauhan S
    Arch Pharm (Weinheim); 2017 Jan; 350(1):. PubMed ID: 28025857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. QSAR Differential Model for Prediction of SIRT1 Modulation using Monte Carlo Method.
    Kumar A; Chauhan S
    Drug Res (Stuttg); 2017 Mar; 67(3):156-162. PubMed ID: 27992935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Design and development of novel focal adhesion kinase (FAK) inhibitors using Monte Carlo method with index of ideality of correlation to validate QSAR.
    Kumar P; Kumar A; Sindhu J
    SAR QSAR Environ Res; 2019 Feb; 30(2):63-80. PubMed ID: 30793981
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CORAL: Monte Carlo based global QSAR modelling of Bruton tyrosine kinase inhibitors using hybrid descriptors.
    Ahmadi S; Lotfi S; Afshari S; Kumar P; Ghasemi E
    SAR QSAR Environ Res; 2021 Dec; 32(12):1013-1031. PubMed ID: 34875951
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combinations of graph invariants and attributes of simplified molecular input-line entry system (SMILES) to build up models for sweetness.
    Achary PGR; Toropova AP; Toropov AA
    Food Res Int; 2019 Aug; 122():40-46. PubMed ID: 31229093
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Monte Carlo QSAR models for predicting organophosphate inhibition of acetycholinesterase.
    Veselinović JB; Nikolić GM; Trutić NV; Živković JV; Veselinović AM
    SAR QSAR Environ Res; 2015 Jun; 26(6):449-60. PubMed ID: 26043064
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Monte Carlo technique as a tool to predict LOAEL.
    Veselinović JB; Veselinović AM; Toropova AP; Toropov AA
    Eur J Med Chem; 2016 Jun; 116():71-75. PubMed ID: 27060758
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Expression/localization patterns of sirtuins (SIRT1, SIRT2, and SIRT7) during progression of cervical cancer and effects of sirtuin inhibitors on growth of cervical cancer cells.
    Singh S; Kumar PU; Thakur S; Kiran S; Sen B; Sharma S; Rao VV; Poongothai AR; Ramakrishna G
    Tumour Biol; 2015 Aug; 36(8):6159-71. PubMed ID: 25794641
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sirtuins 1 and 2 Are Universal Histone Deacetylases.
    Hsu WW; Wu B; Liu WR
    ACS Chem Biol; 2016 Mar; 11(3):792-9. PubMed ID: 26820517
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Design, synthesis, in-vitro evaluation and molecular docking studies of novel indole derivatives as inhibitors of SIRT1 and SIRT2.
    Manjula R; Gokhale N; Unni S; Deshmukh P; Reddyrajula R; Srinivas Bharath MM; Dalimba U; Padmanabhan B
    Bioorg Chem; 2019 Nov; 92():103281. PubMed ID: 31561106
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Design, Synthesis, and Biological Evaluation of 8-Mercapto-3,7-Dihydro-1
    Han H; Li C; Li M; Yang L; Zhao S; Wang Z; Liu H; Liu D
    Molecules; 2020 Jun; 25(12):. PubMed ID: 32549218
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors.
    Toropova MA; Raska I; Toporova AP; Raskova M
    Curr Drug Metab; 2017; 18(6):500-510. PubMed ID: 28260514
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CORAL: Monte Carlo Method to Predict Endpoints for Medical Chemistry.
    Toropova AP; Toropov AA
    Mini Rev Med Chem; 2018 Feb; 18(5):382-391. PubMed ID: 28971771
    [TBL] [Abstract][Full Text] [Related]  

  • 15. coral Software: QSAR for Anticancer Agents.
    Benfenati E; Toropov AA; Toropova AP; Manganaro A; Gonella Diaza R
    Chem Biol Drug Des; 2011 Jun; 77(6):471-6. PubMed ID: 21435183
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells.
    Toropov AA; Toropova AP; Puzyn T; Benfenati E; Gini G; Leszczynska D; Leszczynski J
    Chemosphere; 2013 Jun; 92(1):31-7. PubMed ID: 23566368
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Consensus QSAR modelling of SIRT1 activators using simplex representation of molecular structure.
    Chauhan S; Kumar A
    SAR QSAR Environ Res; 2018 Apr; 29(4):277-294. PubMed ID: 29390919
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Use of Simplified Molecular Input Line Entry System and molecular graph based descriptors in prediction and design of pancreatic lipase inhibitors.
    Kumar A; Chauhan S
    Future Med Chem; 2018 Jul; 10(13):1603-1622. PubMed ID: 30028205
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Expression of sirtuin 1 and 2 is associated with poor prognosis in non-small cell lung cancer patients.
    Grbesa I; Pajares MJ; Martínez-Terroba E; Agorreta J; Mikecin AM; Larráyoz M; Idoate MA; Gall-Troselj K; Pio R; Montuenga LM
    PLoS One; 2015; 10(4):e0124670. PubMed ID: 25915617
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In silico design of diacylglycerol acyltransferase-1 (DGAT1) inhibitors based on SMILES descriptors using Monte-Carlo method.
    Kumar P; Kumar A; Sindhu J
    SAR QSAR Environ Res; 2019 Aug; 30(8):525-541. PubMed ID: 31331203
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.