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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), 9102, 2019
542019
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
382015
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
222019
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
172018
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
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), 20180063, 2019
142019
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
122019
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
112019
GeRNet: a gene regulatory network tool
JS Dussaut, CA Gallo, F Cravero, MJ Martínez, JA Carballido, I Ponzoni
Biosystems 162, 1-11, 2017
112017
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
102019
Comparación de las características fisiológicas del patinaje de velocidad sobre ruedas con el cicloergómetro y el tapiz rodante. Centro de Investigación y Medicina del Deporte …
M Martínez
Revista de Investigación y Documentación sobre las ciencias de la Educación …, 1991
91991
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
72010
QSAR Classification models for predicting the activity of inhibitors of beta-secretase (BACE1) associated with Alzheimer’s disease. Sci Rep 9: 9102
I Ponzoni, V Sebastián-Pérez, MJ Martínez, C Roca, C De la Cruz Pérez, ...
62019
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
62019
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
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
42022
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
Design of new dispersants using machine learning and visual analytics
MJ Martínez, R Naveiro, AJ Soto, P Talavante, SH Kim Lee, ...
Polymers 15 (5), 1324, 2023
22023
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