Jerzy Leszczynski to Monte Carlo Method
This is a "connection" page, showing publications Jerzy Leszczynski has written about Monte Carlo Method.
Connection Strength
3.716
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Toropova AP, Toropov AA, Benfenati E, Leszczynska D, Leszczynski J. Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES. Biosystems. 2018 Jul; 169-170:5-12.
Score: 0.647
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Toropov AA, Toropova AP, Veselinovic AM, Veselinovic JB, Nesmerak K, Raska I, Duchowicz PR, Castro EA, Kudyshkin VO, Leszczynska D, Leszczynski J. The Monte Carlo method based on eclectic data as an efficient tool for predictions of endpoints for nanomaterials - two examples of application. Comb Chem High Throughput Screen. 2015; 18(4):376-86.
Score: 0.512
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Toropova AP, Toropov AA, Leszczynska D, Leszczynski J. Application of quasi-SMILES to the model of gold-nanoparticles uptake in A549?cells. Comput Biol Med. 2021 09; 136:104720.
Score: 0.202
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Toropova AP, Toropov AA, Leszczynska D, Leszczynski J. How the CORAL software can be used to select compounds for efficient treatment of neurodegenerative diseases? Toxicol Appl Pharmacol. 2020 12 01; 408:115276.
Score: 0.191
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Toropov AA, Toropova AP, Leszczynska D, Leszczynski J. "Ideal correlations" for biological activity of peptides. Biosystems. 2019 Jul; 181:51-57.
Score: 0.173
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Toropova AP, Toropov AA, Benfenati E, Leszczynska D, Leszczynski J. Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique. Anticancer Agents Med Chem. 2019; 19(2):148-153.
Score: 0.169
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Toropova AP, Toropov AA, Veselinovic AM, Veselinovic JB, Leszczynska D, Leszczynski J. Semi-correlations combined with the index of ideality of correlation: a tool to build up model of mutagenic potential. Mol Cell Biochem. 2019 Feb; 452(1-2):133-140.
Score: 0.164
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Toropova AP, Toropov AA, Leszczynska D, Leszczynski J. CORAL and Nano-QFAR: Quantitative feature - Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co3O4, and TiO2). Ecotoxicol Environ Saf. 2017 May; 139:404-407.
Score: 0.149
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Toropova AP, Toropov AA, Veselinovic AM, Veselinovic JB, Leszczynska D, Leszczynski J. Monte Carlo-based quantitative structure-activity relationship models for toxicity of organic chemicals to Daphnia magna. Environ Toxicol Chem. 2016 11; 35(11):2691-2697.
Score: 0.142
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Toropova AP, Toropov AA, Veselinovic AM, Veselinovic JB, Benfenati E, Leszczynska D, Leszczynski J. Nano-QSAR: Model of mutagenicity of fullerene as a mathematical function of different conditions. Ecotoxicol Environ Saf. 2016 Feb; 124:32-36.
Score: 0.135
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Toropova AP, Toropov AA, Rallo R, Leszczynska D, Leszczynski J. Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions. Ecotoxicol Environ Saf. 2015 Feb; 112:39-45.
Score: 0.127
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Toropova AP, Toropov AA, Benfenati E, Korenstein R, Leszczynska D, Leszczynski J. Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides. Environ Sci Pollut Res Int. 2015 Jan; 22(1):745-57.
Score: 0.125
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Toropova AP, Toropov AA, Benfenati E, Puzyn T, Leszczynska D, Leszczynski J. Optimal descriptor as a translator of eclectic information into the prediction of membrane damage: the case of a group of ZnO and TiO2 nanoparticles. Ecotoxicol Environ Saf. 2014 Oct; 108:203-9.
Score: 0.124
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Turabekova MA, Rasulev BF, Dzhakhangirov FN, Toropov AA, Leszczynska D, Leszczynski J. Aconitum and delphinium diterpenoid alkaloids of local anesthetic activity: comparative QSAR analysis based on GA-MLRA/PLS and optimal descriptors approach. J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2014; 32(3):213-38.
Score: 0.119
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Toropov AA, Toropova AP, Puzyn T, Benfenati E, Gini G, Leszczynska D, Leszczynski J. QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells. Chemosphere. 2013 Jun; 92(1):31-7.
Score: 0.113
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Toropov AA, Toropova AP, Rasulev BF, Benfenati E, Gini G, Leszczynska D, Leszczynski J. CORAL: binary classifications (active/inactive) for Liver-Related Adverse Effects of Drugs. Curr Drug Saf. 2012 Sep; 7(4):257-61.
Score: 0.109
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Toropov AA, Toropova AP, Benfenati E, Gini G, Leszczynska D, Leszczynski J. CORAL: QSPR model of water solubility based on local and global SMILES attributes. Chemosphere. 2013 Jan; 90(2):877-80.
Score: 0.109
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Toropov AA, Toropova AP, Rasulev BF, Benfenati E, Gini G, Leszczynska D, Leszczynski J. CORAL: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical. J Comput Chem. 2012 Sep 05; 33(23):1902-6.
Score: 0.107
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Toropov AA, Toropova AP, Benfenati E, Gini G, Leszczynska D, Leszczynski J. CORAL: classification model for predictions of anti-sarcoma activity. Curr Top Med Chem. 2012; 12(24):2741-4.
Score: 0.104
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Toropov AA, Toropova AP, Benfenati E, Gini G, Leszczynska D, Leszczynski J. SMILES-based QSAR approaches for carcinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes. Anticancer Agents Med Chem. 2011 Dec; 11(10):974-82.
Score: 0.103
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Toropov AA, Toropova AP, Benfenati E, Leszczynska D, Leszczynski J. SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations. J Comput Chem. 2010 Jan 30; 31(2):381-92.
Score: 0.091