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Bioorganic & Medicinal Chemistry|November 18, 2006
TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: evaluation of different classification model combinations using bond-based linear indicesGerardo M Casañola-Martín, Yovani Marrero-Ponce, Mahmud Tareq Hassan Khan, et al.
Pharmaceuticals (Basel, Switzerland)|May 4, 2026
Machine Learning-Based QSAR Models for Discovery of Inhibitors Targeting Leishmania infantum AmastigotesNaivi Flores-Balmaseda, Julio A Rojas-Vargas, Susana Rojas-Socarrás, et al.
Current Topics in Medicinal Chemistry|December 1, 2018
Computational Identification of Chemical Compounds with Potential Activity against Leishmania amazonensis using Nonlinear Machine Learning TechniquesJuan Alberto Castillo-Garit, Naivi Flores-Balmaseda, Orlando Álvarez, et al.
Chemmedchem|March 17, 2007
Prediction of tyrosinase inhibition activity using atom-based bilinear indicesYovani Marrero-Ponce, Mahmud Tareq Hassan Khan, Gerardo M Casañola Martín, et al.
European Journal of Medicinal Chemistry|July 20, 2007
Dragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assaysGerardo M Casañola-Martín, Yovani Marrero-Ponce, Mahmud Tareq Hassan Khan, et al.
Molecules (Basel, Switzerland)|November 17, 2007
Protein quadratic indices of the "macromolecular pseudograph's alpha-carbon atom adjacency matrix". 1. Prediction of Arc repressor alanine-mutant's stabilityYovani Marrero Ponce, Ricardo Medina Marrero, Eduardo A Castro, et al.
Molecular Diversity|September 4, 2010
Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced databaseHuong Le-Thi-Thu, Gerardo M Casañola-Martín, Yovani Marrero-Ponce, et al.
Current Topics in Medicinal Chemistry|August 23, 2017
State of the Art Review and Report of New Tool for Drug DiscoveryYoan Martinez-Lopez, Yaile Caballero, Stephen J Barigye, et al.
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