Gerardo M. Casañola‐Martín

Author

Also Known As

G. Casañola-Martin, G. M. Casañola-Martin, G.M. Casañola-Martín, Gerardo Casanola-Martin, Gerardo Casanola-Martín, Gerardo Casañola-Martin, Gerardo Casañola-Martín, Gerardo M. Casanola-Martin, Gerardo M. Casañola-Martin, Gerardo M. Casañola-Martín

104

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

Universitat de València Universidad Central "Marta Abreu" de las Villas (UCLV)Parc Científic de la Universitat de València North Dakota State University University of the Basque Country

About

Gerardo M. Casañola‐Martín is an author at Universitat de València specializing in medicine, drug discovery, and pharmacology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	13	14	496
2	Natural Sciences	11	12	395
3	Biochemistry	8	8	273
4	Engineering	5	5	100
5	Biology	1	1	20

Gerardo M. Casañola‐Martín

Publications

Citations

H-Index

Page 1

	Year	Citations
TOMOCOMD-CARDD descriptors-based virtual screening of tyrosinase inhibitors: Evaluation of different classification model combinations using bond-based linear indices Gerardo M. Casañola‐Martín, Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Bioorganic & Medicinal Chemistry Medicinal ChemistryVirtual ScreeningBioorganic ChemistryHit IdentificationDrug Target	2006	77
New tyrosinase inhibitors selected by atomic linear indices-based classification models Gerardo M. Casañola‐Martín, Mahmud Tareq Hassan Khan, Yovani Marrero‐Ponce, Bioorganic & Medicinal Chemistry Letters Medicinal ChemistryDrug TargetBioorganic ChemistryBiochemistryNatural Sciences	2005	57
Dragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assays Gerardo M. Casañola‐Martín, Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, European Journal of Medicinal Chemistry Biosilico IdentificationInhibitory ActivityDragon MethodBiochemistryBioassay-guided Isolation	2007	56
A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees Juan A. Castillo‐Garit, Gerardo M. Casañola‐Martín, Huong Le‐Thi‐Thu, Medicinal Chemistry	2017	55
Prediction of Tyrosinase Inhibition Activity Using Atom‐Based Bilinear Indices Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín, ChemMedChem New MdsBilinear IndicesComputational ChemistryChemical BiologyPharmaceutical Chemistry	2007	44
Bond‐Based 2D Quadratic Fingerprints in QSAR Studies: Virtual and <i>In vitro</i> Tyrosinase Inhibitory Activity Elucidation Gerardo M. Casañola‐Martín, Yovani Marrero‐Ponce, Mahmud Khan, Chemical Biology & Drug Design	2010	43
Prediction of acute toxicity of phenol derivatives using multiple linear regression approach for Tetrahymena pyriformis contaminant identification in a median-size database Karel Diéguez‐Santana, Hai Pham‐The, Pedro J. Villegas-Aguilar, Chemosphere Predictive ToxicologyMedian-size DatabasePesticide-residue AnalysisMedicineToxicology	2016	43
Quantitative structure–activity relationship analysis and virtual screening studies for identifying HDAC2 inhibitors from known HDAC bioactive chemical libraries Hai Pham‐The, Gerardo M. Casañola‐Martín, Karel Diéguez‐Santana, SAR and QSAR in environmental research Histone DeacetylasesDrug TargetHit IdentificationChemical BiologyMedicinal Chemistry	2017	39
QuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agents Ricardo Medina Marrero, Yovani Marrero‐Ponce, Stephen J. Barigye, SAR and QSAR in environmental research Bioorganic ChemistryQubils-mas ApproachOrganic MoleculesMedicinal ChemistryBioanalysis	2015	31
Multi-output model with Box–Jenkins operators of linear indices to predict multi-target inhibitors of ubiquitin–proteasome pathway Gerardo M. Casañola‐Martín, Huong Le‐Thi‐Thu, Facundo Pérez‐Giménez, Molecular Diversity Systems PharmacologyEngineeringComputational BiologyMulti-output ModelMolecular Biology	2015	30

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