Jerzy Leszczynski to Animals
This is a "connection" page, showing publications Jerzy Leszczynski has written about Animals.
Connection Strength
1.220
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Toropova AP, Toropov AA, Roncaglioni A, Benfenati E, Leszczynska D, Leszczynski J. CORAL: Model of Ecological Impact of Heavy Metals on Soils via the Study of Modification of Concentration of Biomolecules in Earthworms (Eisenia fetida). Arch Environ Contam Toxicol. 2023 May; 84(4):504-515.
Score: 0.069
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Kar S, Roy K, Leszczynski J. In Silico Tools and Software to Predict ADMET of New Drug Candidates. Methods Mol Biol. 2022; 2425:85-115.
Score: 0.063
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Ojha PK, Kar S, Krishna JG, Roy K, Leszczynski J. Therapeutics for COVID-19: from computation to practices-where we are, where we are heading to. Mol Divers. 2021 Feb; 25(1):625-659.
Score: 0.058
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Kar S, Leszczynski J. Open access in silico tools to predict the ADMET profiling of drug candidates. Expert Opin Drug Discov. 2020 12; 15(12):1473-1487.
Score: 0.057
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Kar S, Leszczynski J. Is intraspecies QSTR model answer to toxicity data gap filling: Ecotoxicity modeling of chemicals to avian species. Sci Total Environ. 2020 Oct 10; 738:139858.
Score: 0.057
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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: 0.052
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Khan K, Kar S, Sanderson H, Roy K, Leszczynski J. Ecotoxicological Modeling, Ranking and Prioritization of Pharmaceuticals Using QSTR and i-QSTTR Approaches: Application of 2D and Fragment Based Descriptors. Mol Inform. 2019 08; 38(8-9):e1800078.
Score: 0.051
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Kar S, Ghosh S, Leszczynski J. Single or mixture halogenated chemicals? Risk assessment and developmental toxicity prediction on zebrafish embryos based on weighted descriptors approach. Chemosphere. 2018 Nov; 210:588-596.
Score: 0.050
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Kar S, Roy K, Leszczynski J. Impact of Pharmaceuticals on the Environment: Risk Assessment Using QSAR Modeling Approach. Methods Mol Biol. 2018; 1800:395-443.
Score: 0.048
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Gooch A, Sizochenko N, Rasulev B, Gorb L, Leszczynski J. In vivo toxicity of nitroaromatics: A comprehensive quantitative structure-activity relationship study. Environ Toxicol Chem. 2017 08; 36(8):2227-2233.
Score: 0.045
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Gooch A, Sizochenko N, Sviatenko L, Gorb L, Leszczynski J. A quantum chemical based toxicity study of estimated reduction potential and hydrophobicity in series of nitroaromatic compounds. SAR QSAR Environ Res. 2017 Feb; 28(2):133-150.
Score: 0.045
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Kar S, Leszczynski J. Recent Advances of Computational Modeling for Predicting Drug Metabolism: A Perspective. Curr Drug Metab. 2017; 18(12):1106-1122.
Score: 0.045
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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: 0.043
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Toropova AP, Toropov AA, Benfenati E, Leszczynska D, Leszczynski J. QSAR model as a random event: A case of rat toxicity. Bioorg Med Chem. 2015 Mar 15; 23(6):1223-30.
Score: 0.039
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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: 0.036
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Toropov AA, Toropova AP, Raska I, Leszczynska D, Leszczynski J. Comprehension of drug toxicity: software and databases. Comput Biol Med. 2014 Feb; 45:20-5.
Score: 0.036
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Gajewicz A, Rasulev B, Dinadayalane TC, Urbaszek P, Puzyn T, Leszczynska D, Leszczynski J. Advancing risk assessment of engineered nanomaterials: application of computational approaches. Adv Drug Deliv Rev. 2012 Dec; 64(15):1663-93.
Score: 0.032
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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: 0.031
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Toropova AP, Toropov AA, Benfenati E, Gini G, Leszczynska D, Leszczynski J. CORAL: quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats. J Comput Chem. 2011 Sep; 32(12):2727-33.
Score: 0.030
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Turabekova MA, Rasulev BF, Dzhakhangirov FN, Leszczynska D, Leszczynski J. Aconitum and Delphinium alkaloids of curare-like activity. QSAR analysis and molecular docking of alkaloids into AChBP. Eur J Med Chem. 2010 Sep; 45(9):3885-94.
Score: 0.028
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Puzyn T, Leszczynska D, Leszczynski J. Toward the development of "nano-QSARs": advances and challenges. Small. 2009 Nov; 5(22):2494-509.
Score: 0.027
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Toropov AA, Rasulev BF, Leszczynski J. QSAR modeling of acute toxicity by balance of correlations. Bioorg Med Chem. 2008 Jun 01; 16(11):5999-6008.
Score: 0.024
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Kuz'min VE, Muratov EN, Artemenko AG, Gorb L, Qasim M, Leszczynski J. The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study. J Comput Aided Mol Des. 2008 Oct; 22(10):747-59.
Score: 0.024
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Turabekova MA, Rasulev BF, Levkovich MG, Abdullaev ND, Leszczynski J. Aconitum and Delphinium sp. alkaloids as antagonist modulators of voltage-gated Na+ channels. AM1/DFT electronic structure investigations and QSAR studies. Comput Biol Chem. 2008 Apr; 32(2):88-101.
Score: 0.024
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Rasulev BF, Saidkhodzhaev AI, Nazrullaev SS, Akhmedkhodzhaeva KS, Khushbaktova ZA, Leszczynski J. Molecular modelling and QSAR analysis of the estrogenic activity of terpenoids isolated from Ferula plants. SAR QSAR Environ Res. 2007 Oct-Dec; 18(7-8):663-73.
Score: 0.023
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Wang J, Gu J, Leszczynski J. A model study of interactions between TcAChE peripheral site segment Tyr70Val71 and loop 1 of Fasciculin 2. J Biomol Struct Dyn. 2006 Oct; 24(2):139-48.
Score: 0.022
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Majumdar D, Roszak S, Leszczynski J. Probing the acetylcholinesterase inhibition of sarin: a comparative interaction study of the inhibitor and acetylcholine with a model enzyme cavity. J Phys Chem B. 2006 Jul 13; 110(27):13597-607.
Score: 0.022
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Isayev O, Rasulev B, Gorb L, Leszczynski J. Structure-toxicity relationships of nitroaromatic compounds. Mol Divers. 2006 May; 10(2):233-45.
Score: 0.021
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Wang J, Gu J, Leszczynski J. Hydrogen-bonding interactions in the binding of loop 1 of fasciculin 2 to Torpedo californica acetylcholinesterase: a density functional theory study. J Phys Chem B. 2005 Jul 21; 109(28):13761-9.
Score: 0.020
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Dyguda E, Grembecka J, Sokalski WA, Leszczynski J. Origins of the activity of PAL and LAP enzyme inhibitors: toward ab initio binding affinity prediction. J Am Chem Soc. 2005 Feb 16; 127(6):1658-9.
Score: 0.020
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Hoover G, Kar S, Guffey S, Leszczynski J, Sep?lveda MS. In?vitro and in silico modeling of perfluoroalkyl substances mixture toxicity in an amphibian fibroblast cell line. Chemosphere. 2019 Oct; 233:25-33.
Score: 0.013
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Golbamaki A, Golbamaki N, Sizochenko N, Rasulev B, Leszczynski J, Benfenati E. Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties. Nanotoxicology. 2018 12; 12(10):1113-1129.
Score: 0.012
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Ba?ares MA, Haase A, Tran L, Lobaskin V, Oberd?rster G, Rallo R, Leszczynski J, Hoet P, Korenstein R, Hardy B, Puzyn T. CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology. Nanotoxicology. 2017 Sep; 11(7):839-845.
Score: 0.012
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Golbamaki N, Rasulev B, Cassano A, Marchese Robinson RL, Benfenati E, Leszczynski J, Cronin MT. Genotoxicity of metal oxide nanomaterials: review of recent data and discussion of possible mechanisms. Nanoscale. 2015 Feb 14; 7(6):2154-98.
Score: 0.010
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He X, Aker WG, Leszczynski J, Hwang HM. Using a holistic approach to assess the impact of engineered nanomaterials inducing toxicity in aquatic systems. J Food Drug Anal. 2014 Mar; 22(1):128-146.
Score: 0.009
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Lubinski L, Urbaszek P, Gajewicz A, Cronin MT, Enoch SJ, Madden JC, Leszczynska D, Leszczynski J, Puzyn T. Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling. SAR QSAR Environ Res. 2013; 24(12):995-1008.
Score: 0.008
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Rasulev B, Kusic H, Leszczynska D, Leszczynski J, Koprivanac N. QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats. J Environ Monit. 2010 May; 12(5):1037-44.
Score: 0.007
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Tchounwou PB, Newsome C, Glass K, Centeno JA, Leszczynski J, Bryant J, Okoh J, Ishaque A, Brower M. Environmental toxicology and health effects associated with dinitrotoluene exposure. Rev Environ Health. 2003 Jul-Sep; 18(3):203-29.
Score: 0.004