RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Jerzy Leszczynski to Organic Chemicals

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

3.060
  1. Toropova AP, Toropov AA, Roncaglioni A, Benfenati E, Leszczynska D, Leszczynski J. The validation of predictive potential via the system of self-consistent models: the simulation of blood-brain barrier permeation of organic compounds. J Mol Model. 2023 Jun 29; 29(7):218.
    View in: PubMed
    Score: 0.893
  2. 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.
    View in: PubMed
    Score: 0.551
  3. Watkins M, Sizochenko N, Rasulev B, Leszczynski J. Estimation of melting points of large set of persistent organic pollutants utilizing QSPR approach. J Mol Model. 2016 Mar; 22(3):55.
    View in: PubMed
    Score: 0.536
  4. 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: 0.499
  5. 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: 0.387
  6. Cleaves HJ, Michalkova Scott A, Hill FC, Leszczynski J, Sahai N, Hazen R. Mineral-organic interfacial processes: potential roles in the origins of life. Chem Soc Rev. 2012 Aug 21; 41(16):5502-25.
    View in: PubMed
    Score: 0.104
  7. 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: 0.090
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.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support