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María Jimena Martínez
María Jimena Martínez
Researcher, ISISTAN, Universidad Nacional del Centro de la Pcia. de Bs. As. and CONICET
Verified email at isistan.unicen.edu.ar
Title
Cited by
Cited by
Year
QSAR classification models for predicting the activity of inhibitors of beta-secretase (BACE1) associated with Alzheimer’s disease
I Ponzoni, V Sebastián-Pérez, MJ Martínez, C Roca, C De la Cruz Pérez, ...
Scientific reports 9 (1), 1-13, 2019
422019
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods
MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto
Journal of cheminformatics 7, 1-17, 2015
362015
MoDeSuS: A machine learning tool for selection of molecular descriptors in QSAR studies applied to molecular informatics
MJ Martínez, M Razuc, I Ponzoni
BioMed research international 2019, 2019
162019
QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge
D Palomba, MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto
Molecules 17 (12), 14937-14953, 2012
162012
Desarrollo de competencias y calidad universitaria
P Martínez Clares, M Rubio, C Garvía, M Martínez
Trabajo presentado en V Congreso Internacional de Galicia y Norte de …, 2003
152003
Biclustering as strategy for improving feature selection in consensus QSAR modeling
MJ Martínez, JS Dussaut, I Ponzoni
Electronic Notes in Discrete Mathematics 69, 117-124, 2018
132018
Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity
F Cravero, SA Schustik, MJ Martínez, CD Barranco, MF Díaz, I Ponzoni
Chemometrics and Intelligent Laboratory Systems 191, 65-72, 2019
112019
Gernet: a gene regulatory network tool
JS Dussaut, CA Gallo, F Cravero, MJ Martínez, JA Carballido, I Ponzoni
Biosystems 162, 1-11, 2017
92017
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets
F Cravero, SA Schustik, MJ Martínez, GE Vázquez, MF Díaz, I Ponzoni
Journal of chemical information and modeling 60 (2), 592-603, 2019
82019
QSAR modelling to identify LRRK2 inhibitors for parkinson’s disease
V Sebastián-Pérez, MJ Martínez, C Gil, NE Campillo, A Martínez, ...
Journal of Integrative Bioinformatics 16 (1), 2019
82019
DELPHOS: computational tool for selection of relevant descriptor subsets in ADMET prediction
AJ Soto, MJ Martínez, RL Cecchini, GE Vazquez, I Ponzoni
1st International Meeting of Pharmaceutical Sciences, 2010
82010
Computational modelling of mechanical properties for new polymeric materials with high molecular weight
F Cravero, MJ Martínez, I Ponzoni, MF Diaz
Chemometrics and Intelligent Laboratory Systems 193, 103851, 2019
72019
Feature selection and polydispersity characterization for QSPR modelling: predicting a tensile property
F Cravero, S Schustik, MJ Martínez, CD Barranco, MF Díaz, I Ponzoni
Practical Applications of Computational Biology and Bioinformatics, 12th …, 2019
52019
FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution
F Cravero, S Schustik, MJ Martínez, MF Díaz, I Ponzoni
Information Processing and Management of Uncertainty in Knowledge-Based …, 2018
52018
Qsar classification models for predicting affinity to blood or liver of volatile organic compounds in e-health
F Cravero, MJ Martínez, MF Díaz, I Ponzoni
Bioinformatics and Biomedical Engineering: 5th International Work-Conference …, 2017
42017
QSAR modelling for drug discovery: predicting the activity of LRRK2 inhibitors for parkinson’s disease using cheminformatics approaches
V Sebastián-Pérez, MJ Martínez, C Gil, NE Campillo, A Martínez, ...
Practical Applications of Computational Biology and Bioinformatics, 12th …, 2019
32019
Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design using Machine Learning and Visual Analytics Tools
F Cravero, MJ Martinez, GE Vazquez, MF Díaz, I Ponzoni
10th International Conference on Practical Applications of Computational …, 2016
32016
Multitask Deep Neural Networks for Ames Mutagenicity Prediction
MJ Martínez, MV Sabando, AJ Soto, C Roca, C Requena-Triguero, ...
Journal of Chemical Information and Modeling 62 (24), 6342-6351, 2022
22022
PolyMaS: A new software to generate high molecular weight polymer macromolecules from repeating structural units
SA Schustik, F Cravero, MJ Martinez, I Ponzoni, MF Diaz
Polimery 66 (5), 293-297, 2021
22021
An integral framework for QSAR Modelling using Computational Intelligence and Visual Analytics
F Cravero, G Vazquez, MJ Martínez, MF Díaz, I Ponzoni
6th Argentinian Conference on Bioinformatics and Computational Biology, 2015
12015
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