Preeclampsia: a bioinformatics approach through protein-protein interaction networks analysis. - Eduardo Tejera; João Bernardes; Irene Rebelo (BMC Syst. Biol., 2012)

Harmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands. - 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; et al. (J. Chem. Inf. Model., 2015)

CompScore: Boosting Structure-Based Virtual Screening Performance by Incorporating Docking Scoring Function Components into Consensus Scoring. - Yunierkis Pérez-Castillo; Stellamaris Sotomayor-Burneo; Karina Beatriz Jimenes Vargas; Mario González-Rodríguez 001; Maykel Cruz-Monteagudo; Vinicio Armijos-Jaramillo; M. Natália Dias Soeiro Cordeiro; Fernanda Borges; Aminael Sánchez-Rodríguez; Eduardo Tejera (J. Chem. Inf. Model., 2019)

Representing Cellular Lines with SVM and Text Processing. - Iván Carrera; Inês Dutra; Eduardo Tejera (BCB, 2020)

A Representation Method for Cellular Lines based on SVM and Text Mining. - Iván Carrera; Inês Dutra; Eduardo Tejera (BIBM, 2020)

Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines. - Iván Carrera; Eduardo Tejera; Inês Dutra (HEALTHINF, 2021)

Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm. - Karina Beatriz Jimenes Vargas; Yunierkis Pérez-Castillo; Eduardo Tejera; Cristian R. Munteanu (ICAISC (2), 2023)

Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy. - Karina Beatriz Jimenes Vargas; Alejandro Pazos; Cristian R. Munteanu; Yunierkis Pérez-Castillo; Eduardo Tejera (J. Cheminformatics, 2024)