Francisco Torrens

5 ta ish

Institut Universitari de Ciència Molecular, Universitat de València, Dr. Moliner 50, E 46100‐Burjassot, València, Spain

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

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

   MaqolaComputational Drug Discovery MethodsBioorganic & Medicinal Chemistry Letters20051 iqtibos

   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

   MaqolaComputational Drug Discovery MethodsQSAR & Combinatorial Science20061 iqtibos

   ABIABI:AkademIndex/openalex/2026.other.352428

3. In silico Discovery of Novel Tyrosinase Inhibitors using Atom Based Linear Indices

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

   MaqolaComputational Drug Discovery Methods20060 iqtibos

   ABIABI:AkademIndex/openalex/2006.article.000419

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

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

   MaqolaComputational Drug Discovery MethodsChemMedChem20070 iqtibos

   ABIABI:AkademIndex/openalex/2007.article.000037

5. 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

   MaqolaComputational Drug Discovery MethodsJournal of Computer-Aided Molecular Design20070 iqtibos

   ABIABI:AkademIndex/openalex/2007.article.000064