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Connection

Jerzy Leszczynski to Rats

This is a "connection" page, showing publications Jerzy Leszczynski has written about Rats.
Connection Strength

0.406
  1. 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.
    View in: PubMed
    Score: 0.085
  2. 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.
    View in: PubMed
    Score: 0.074
  3. 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.
    View in: PubMed
    Score: 0.057
  4. 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.
    View in: PubMed
    Score: 0.046
  5. 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.
    View in: PubMed
    Score: 0.046
  6. 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.
    View in: PubMed
    Score: 0.044
  7. Isayev O, Rasulev B, Gorb L, Leszczynski J. Structure-toxicity relationships of nitroaromatic compounds. Mol Divers. 2006 May; 10(2):233-45.
    View in: PubMed
    Score: 0.040
  8. 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.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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