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ORCIDMiguel Ángel Cabrera-Pérez
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Journal Articles
- 2021
[j5]Omar Casanova-Alvarez
, Aliuska Morales Helguera, Miguel Ángel Cabrera-Pérez, Reinaldo Molina Ruiz, Christophe Molina:
A Novel Automated Framework for QSAR Modeling of Highly Imbalanced Leishmania High-Throughput Screening Data. J. Chem. Inf. Model. 61(7): 3213-3231 (2021)- 2020
- [j4]Gabriela Falcón-Cano, Christophe Molina, Miguel Ángel Cabrera-Pérez:
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability. J. Chem. Inf. Model. 60(6): 2660-2667 (2020) - 2015
- [j3]Daimel Castillo-González, Jean-Louis Mergny, Aurore De Rache, Gisselle Pérez-Machado, Miguel Ángel Cabrera-Pérez, Orazio Nicolotti, Antonellina Introcaso, Giuseppe Felice Mangiatordi, Aurore Guédin, Anne Bourdoncle, Teresa M. Garrigues, Federico Pallardó, M. Natália Dias Soeiro Cordeiro, Cesar Paz-y-Miño, Eduardo Tejera, Fernanda Borges, Maykel Cruz-Monteagudo:
Harmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands. J. Chem. Inf. Model. 55(10): 2094-2110 (2015) - 2012
- [j2]Yunierkis Pérez-Castillo, Cosmin Lazar, Jonatan Taminau, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, Ann Nowé:
GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design. J. Chem. Inf. Model. 52(9): 2366-2386 (2012) - 2011
- [j1]Yunierkis Pérez-Castillo, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, Ann Nowé:
Molecular dynamics and docking simulations as a proof of high flexibility in E. coli FabH and its relevance for accurate inhibitor modeling. J. Comput. Aided Mol. Des. 25(4): 371-393 (2011)
Coauthor Index
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