Работы, цитирующие эту работу

Работ: 5

Работа: 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

   СтатьяComputational Drug Discovery MethodsJournal of Computational Chemistry2009Цитирований: 1

   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

   СтатьяComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry2010Цитирований: 1

   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

   ГлаваComputational Drug Discovery MethodsChallenges and advances in computational chemistry and physics2023Цитирований: 1

   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

   СтатьяComputational Drug Discovery MethodsMolecular Diversity2009Цитирований: 0

   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

   СтатьяComputational Drug Discovery MethodsJournal of Computational Chemistry2009Цитирований: 0

   ABIABI:AkademIndex/openalex/2009.article.000138