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5 та иш

Иш: Statistical Validation of QSAR Results

  1. QSPR modeling of the water solubility of diverse functional aliphatic compounds by optimization of correlation weights of local graph invariants

    Kunal Roy, Andrey A. Toropov

    МақолаComputational Drug Discovery MethodsJournal of Molecular Modeling20051 иқтибос
    ABI

  2. Atom‐Based 2D Quadratic Indices in Drug Discovery of Novel Tyrosinase Inhibitors: Results of <i>In Silico</i> Studies Supported by Experimental Results

    Yovani Marrero Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +5

    МақолаComputational Drug Discovery MethodsQSAR & Combinatorial Science20061 иқтибос
    ABI

  3. QSAR Modeling of Peripheral<i>Versus</i>Central Benzodiazepine Receptor Binding Affinity of 2‐Phenylimidazo[1,2‐a]pyridineacetamides using Optimal Descriptors Calculated with SMILES

    Kunal Roy, Andrey A. Toropov, Ivan Raška

    МақолаComputational Drug Discovery MethodsQSAR & Combinatorial Science20061 иқтибос
    ABI

  4. Prediction of Tyrosinase Inhibition Activity Using Atom‐Based Bilinear Indices

    Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +4

    МақолаComputational Drug Discovery MethodsChemMedChem20070 иқтибос
    ABI

  5. Bond-based 2D TOMOCOMD-CARDD approach for drug discovery: aiding decision-making in ‘in silico’ selection of new lead tyrosinase inhibitors

    Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +5

    МақолаComputational Drug Discovery MethodsJournal of Computer-Aided Molecular Design20070 иқтибос
    ABI