Работы, цитирующие эту работу

Работ: 4

Работа: Non-stochastic and stochastic linear indices of the ‘molecular pseudograph’s atom adjacency matrix’: application to ‘in silico’ studies for the rational discovery of new antimalarial compounds

1. New tyrosinase inhibitors selected by atomic linear indices-based classification models

   Gerardo M. Casañola‐Martín, Mahmud Tareq Hassan Khan, Yovani Marrero‐Ponce +3

   СтатьяComputational Drug Discovery MethodsBioorganic & Medicinal Chemistry Letters2005Цитирований: 1

   ABIABI:AkademIndex/openalex/2005.article.000045

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

   СтатьяComputational Drug Discovery MethodsQSAR & Combinatorial Science2006Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.352428

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

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

   СтатьяComputational Drug Discovery MethodsChemMedChem2007Цитирований: 0

   ABIABI:AkademIndex/openalex/2007.article.000037

4. 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

   СтатьяComputational Drug Discovery MethodsJournal of Computer-Aided Molecular Design2007Цитирований: 0

   ABIABI:AkademIndex/openalex/2007.article.000064