Работы, цитирующие эту работу

Работ: 5

Работа: A Novel QSAR Model for Evaluating and Predicting the Inhibition Activity of Dipeptidyl Aspartyl Fluoromethylketones

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. 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

4. 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

5. InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance

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

   СтатьяComputational Drug Discovery MethodsEuropean Journal of Medicinal Chemistry2010Цитирований: 0

   ABIABI:AkademIndex/openalex/2010.article.000064