Работы, цитирующие эту работу

Работ: 2

Работа: Computational design of novel fullerene analogues as potential HIV-1 PR inhibitors: Analysis of the binding interactions between fullerene inhibitors and HIV-1 PR residues using 3D QSAR, molecular docking and molecular dynamics simulations

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. 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