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5 works

Work: Prediction of intrinsic viscosity in polymer–solvent combinations using a QSPR model

  1. SMILES‐based optimal descriptors: QSAR analysis of fullerene‐based HIV‐1 PR inhibitors by means of balance of correlations

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +2

    ArticleComputational Drug Discovery MethodsJournal of Computational Chemistry20091 citations
    ABI

  2. QSPR modeling of octanol/water partition coefficient of antineoplastic agents by balance of correlations

    Andrey A. Toropov, Alla P. Toropova, Ivan Raška +1

    ArticleComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry20101 citations
    ABI

  3. Building Up QSPR for Polymers Endpoints by Using SMILES-Based Optimal Descriptors

    В. О. Кудышкин, Alla P. Toropova

    ChapterComputational Drug Discovery MethodsChallenges and advances in computational chemistry and physics20231 citations
    ABI

  4. QSAR-modeling of toxicity of organometallic compounds by means of the balance of correlations for InChI-based optimal descriptors

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati

    ArticleComputational Drug Discovery MethodsMolecular Diversity20090 citations
    ABI

  5. QSPR modeling of enthalpies of formation for organometallic compounds by SMART‐based optimal descriptors

    Andrey A. Toropov, Alla P. Toropova, Emilio Benfenati +1

    ArticleComputational Drug Discovery MethodsJournal of Computational Chemistry20090 citations
    ABI