BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 37764363)

  • 1. Using the Correlation Intensity Index to Build a Model of Cardiotoxicity of Piperidine Derivatives.
    Toropova AP; Toropov AA; Roncaglioni A; Benfenati E
    Molecules; 2023 Sep; 28(18):. PubMed ID: 37764363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR.
    Toropov AA; Toropova AP
    Curr Comput Aided Drug Des; 2020; 16(3):197-206. PubMed ID: 30919781
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Monte Carlo method for predicting of cardiac toxicity: hERG blocker compounds.
    Gobbi M; Beeg M; Toropova MA; Toropov AA; Salmona M
    Toxicol Lett; 2016 May; 250-251():42-6. PubMed ID: 27067105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 'Ideal correlations' for the predictive toxicity to
    Toropov AA; Toropova AP; Benfenati E
    Toxicol Mech Methods; 2020 Oct; 30(8):605-610. PubMed ID: 32718259
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Quantitative structure-activity relationship model for prediction of cardiotoxicity of chemical components in traditional Chinese medicines].
    Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):551-556. PubMed ID: 28628163
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potential.
    Toropova AP; Toropov AA; Roncaglioni A; Benfenati E
    SAR QSAR Environ Res; 2022 Aug; 33(8):621-630. PubMed ID: 35924764
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. QSAR model for blood-brain barrier permeation.
    Toropov AA; Toropova AP; Beeg M; Gobbi M; Salmona M
    J Pharmacol Toxicol Methods; 2017 Nov; 88(Pt 1):7-18. PubMed ID: 28476566
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive QSAR modeling for the antioxidant activity of natural compounds derivatives based on Monte Carlo method.
    Ahmadi S; Ghanbari H; Lotfi S; Azimi N
    Mol Divers; 2021 Feb; 25(1):87-97. PubMed ID: 31933105
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Utilization of the Monte Carlo Method to Build up QSAR Models for Hemolysis and Cytotoxicity of Antimicrobial Peptides.
    Toropova AP; Toropov AA; Beeg M; Gobbi M; Salmona M
    Curr Drug Discov Technol; 2017; 14(4):229-243. PubMed ID: 28545350
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles.
    Toropova AP; Toropov AA
    Toxicol Lett; 2017 Jun; 275():57-66. PubMed ID: 28359801
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The system of self-consistent models for pesticide toxicity to
    Toropov AA; Toropova AP; Roncaglioni A; Benfenati E
    Toxicol Mech Methods; 2023 Sep; 33(7):578-583. PubMed ID: 36992571
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The searching for agents for Alzheimer's disease treatment via the system of self-consistent models.
    Toropov AA; Toropova AP; Achary PGR; Raškova M; Raška I
    Toxicol Mech Methods; 2022 Sep; 32(7):549-557. PubMed ID: 35287529
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nucleobase sequence based building up of reliable QSAR models with the index of ideality correlation using Monte Carlo method.
    Kumar P; Kumar A
    J Biomol Struct Dyn; 2020 Jul; 38(11):3296-3306. PubMed ID: 31411551
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Prediction of No Observed Adverse Effect Concentration for inhalation toxicity using Monte Carlo approach.
    Toropov AA; Toropova AP; Selvestrel G; Baderna D; Benfenati E
    SAR QSAR Environ Res; 2020 Dec; 31(12):1-12. PubMed ID: 33179981
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.