María Jimena Martínez

Centro Científico Tecnológico - Tandil — Argentina

Computer Science · Physical Sciences

12h-index514citations38works1.02yr avg
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Research Topics

Computational Drug Discovery Methods(22), Machine Learning in Materials Science(12), Analytical Chemistry and Chromatography(6), Protein Tyrosine Phosphatases(5), Protein Structure and Dynamics(2)

Publications38 total

Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter
2024· 1 cited
Supplemental Figures from Targeting AR Variant–Coactivator Interactions to Exploit Prostate Cancer Vulnerabilities
2023Open Access
Design of New Dispersants Using Machine Learning and Visual Analytics
Polymers·2023· 4 citedOpen Access
Contributors
Elsevier eBooks·2023
Deep learning for novel drug development
Elsevier eBooks·2023Open Access
Multitask Deep Neural Networks for Ames Mutagenicity Prediction
Journal of Chemical Information and Modeling·2022· 22 cited
Substrate-selective positive allosteric modulation of PTPRD’s phosphatase by flavonols
Biochemical Pharmacology·2022· 8 citedOpen Access
Multi-Task Deep Neural Networks for Ames Mutagenicity Prediction
2022Open Access
How can polydispersity information be integrated in the QSPR modeling of mechanical properties?
Science and Technology of Advanced Materials Methods·2022· 7 citedOpen Access
Structure-activity studies of PTPRD phosphatase inhibitors identify a 7-cyclopentymethoxy illudalic acid analog candidate for development
Biochemical Pharmacology·2021· 5 citedOpen Access
PolyMaS: A new software to generate high molecular weight polymer macromolecules from repeating structural units
Polimery·2021· 2 citedOpen Access
Reduced PTPRD expression differentially alters brain phosphotyrosine phosphoproteomic profiles of 2 and 12 month-old mice
2021· 1 citedOpen Access
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RV<sub>DD</sub> Algorithm Using Synthetic Polydisperse Data Sets
Journal of Chemical Information and Modeling·2019· 14 citedOpen Access
Computational modelling of mechanical properties for new polymeric materials with high molecular weight
Chemometrics and Intelligent Laboratory Systems·2019· 13 cited
QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease
Scientific Reports·2019· 68 citedOpen Access
Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity
Chemometrics and Intelligent Laboratory Systems·2019· 12 citedOpen Access
MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics
BioMed Research International·2019· 19 citedOpen Access
QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson’s Disease
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics·2019· 22 citedOpen Access
PTPRD: neurobiology, genetics, and initial pharmacology of a pleiotropic contributor to brain phenotypes
Annals of the New York Academy of Sciences·2019· 90 citedOpen Access
Cocaine reward is reduced by decreased expression of receptor-type protein tyrosine phosphatase D (PTPRD) and by a novel PTPRD antagonist
Proceedings of the National Academy of Sciences·2018· 48 citedOpen Access
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Frequent Co-authors

Ignacio Ponzoni(26), Mónica F. Díaz(14), Fiorella Cravero(13), Nuria E. Campillo(9), Axel J. Soto(8), Gustavo E. Vázquez(6), Santiago A. Schustik(6), George R. Uhl(5), Víctor Sebastián-Pérez(4), Carlos Roca(4), Juan A. Páez(4), Carlos Requeña(3), Julieta Sol Dussaut(3), Ian Henderson(3), Roi Naveiro(3), Ramón Goméz Arrayás(2), María Virginia Sabando(2), Carmen Gil(2), Ana Martı́nez(2), C.A. Gallo(2)