Ushbu ishga iqtibos qilgan ishlar

5 ta ish

Ish: 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

   MaqolaComputational Drug Discovery MethodsJournal of Computational Chemistry20091 iqtibos

   ABIABI:AkademIndex/openalex/2009.article.000027

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

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

   MaqolaComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry20101 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.218370

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

   В. О. Кудышкин, Alla P. Toropova

   BobComputational Drug Discovery MethodsChallenges and advances in computational chemistry and physics20231 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.440875

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

   MaqolaComputational Drug Discovery MethodsMolecular Diversity20090 iqtibos

   ABIABI:AkademIndex/openalex/2009.article.000073

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

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

   MaqolaComputational Drug Discovery MethodsJournal of Computational Chemistry20090 iqtibos

   ABIABI:AkademIndex/openalex/2009.article.000138