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Connection

Jerzy Leszczynski to Algorithms

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

2.550
  1. Puzyn T, Rasulev B, Gajewicz A, Hu X, Dasari TP, Michalkova A, Hwang HM, Toropov A, Leszczynska D, Leszczynski J. Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles. Nat Nanotechnol. 2011 Mar; 6(3):175-8.
    View in: PubMed
    Score: 0.321
  2. Michalkova A, Kosenkov D, Gorb L, Leszczynski J. Thermodynamics and kinetics of intramolecular water assisted proton transfer in Na+ -1-methylcytosine water complexes. J Phys Chem B. 2008 Jul 24; 112(29):8624-33.
    View in: PubMed
    Score: 0.268
  3. Kobylecka M, Gu J, Rak J, Leszczynski J. Barrier-free proton transfer in the valence anion of 2'-deoxyadenosine-5'-monophosphate. II. A computational study. J Chem Phys. 2008 Jan 28; 128(4):044315.
    View in: PubMed
    Score: 0.260
  4. Zi?lkowski M, Grabowski SJ, Leszczynski J. Cooperativity in hydrogen-bonded interactions: ab initio and "atoms in molecules" analyses. J Phys Chem A. 2006 May 25; 110(20):6514-21.
    View in: PubMed
    Score: 0.231
  5. Allen RN, Shukla MK, Burda JV, Leszczynski J. Theoretical study of interaction of urate with li(+), na(+), k(+), be(2+), mg(2+), and ca(2+) metal cations. J Phys Chem A. 2006 May 11; 110(18):6139-44.
    View in: PubMed
    Score: 0.231
  6. 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: 0.189
  7. 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.
    View in: PubMed
    Score: 0.138
  8. Golius A, Gorb L, Isayev O, Leszczynski J. Diffusion of energetic compounds through biological membrane: Application of classical MD and COSMOmic approximations. J Biomol Struct Dyn. 2019 Jan; 37(1):247-255.
    View in: PubMed
    Score: 0.130
  9. Kar S, Roy K, Leszczynski J. Applicability Domain: A Step Toward Confident Predictions and Decidability for QSAR Modeling. Methods Mol Biol. 2018; 1800:141-169.
    View in: PubMed
    Score: 0.129
  10. Sviatenko LK, Gorb L, Hill FC, Leszczynska D, Okovytyy SI, Leszczynski J. Alkaline hydrolysis of hexahydro-1,3,5-trinitro-1,3,5-triazine: M06-2X investigation. Chemosphere. 2015 Sep; 134:31-8.
    View in: PubMed
    Score: 0.107
  11. 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.
    View in: PubMed
    Score: 0.091
  12. 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.
    View in: PubMed
    Score: 0.088
  13. Mikolajczyk MM, Zalesny R, Czyznikowska Z, Toman P, Leszczynski J, Bartkowiak W. Long-range corrected DFT calculations of charge-transfer integrals in model metal-free phthalocyanine complexes. J Mol Model. 2011 Sep; 17(9):2143-9.
    View in: PubMed
    Score: 0.079
  14. Basilevsky MV, Grigoriev FV, Nikitina EA, Leszczynski J. Implicit electrostatic solvent model with continuous dielectric permittivity function. J Phys Chem B. 2010 Feb 25; 114(7):2457-66.
    View in: PubMed
    Score: 0.075
  15. Puzyn T, Mostrag A, Falandysz J, Kholod Y, Leszczynski J. Predicting water solubility of congeners: chloronaphthalenes--a case study. J Hazard Mater. 2009 Oct 30; 170(2-3):1014-22.
    View in: PubMed
    Score: 0.071
  16. Langner KM, Kedzierski P, Sokalski WA, Leszczynski J. Physical nature of ethidium and proflavine interactions with nucleic acid bases in the intercalation plane. J Phys Chem B. 2006 May 18; 110(19):9720-7.
    View in: PubMed
    Score: 0.058
  17. Sizochenko N, Gajewicz A, Leszczynski J, Puzyn T. Causation or only correlation? Application of causal inference graphs for evaluating causality in nano-QSAR models. Nanoscale. 2016 Apr 07; 8(13):7203-8.
    View in: PubMed
    Score: 0.029
  18. Zimmermann T, Leszczynski J, Burda JV. Activation of the cisplatin and transplatin complexes in solution with constant pH and concentration of chloride anions; quantum chemical study. J Mol Model. 2011 Sep; 17(9):2385-93.
    View in: PubMed
    Score: 0.020
  19. 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: 0.019
  20. Sponer JE, R?blova K, Mokdad A, Sychrovsk? V, Leszczynski J, Sponer J. Leading RNA tertiary interactions: structures, energies, and water insertion of A-minor and P-interactions. A quantum chemical view. J Phys Chem B. 2007 Aug 02; 111(30):9153-64.
    View in: PubMed
    Score: 0.016
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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