Eduardo Tejera

According to our database, Eduardo Tejera authored at least 10 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Deep Learning Strategies for Molecular Structure Inference from Mass Spectra: A Comparative Study of Transformer Generation and Siamese Metric Learning.

Iván Carrera, Pablo Del Hierro, Fernando Cardenas, Dylan Villarroel, Inês Dutra, Eduardo Tejera

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Discovering molecules and plants with potential activity against gastric cancer: an in silico ensemble-based modeling analysis.

Micaela Villacrés, Alec Avila, Karina Beatriz Jimenes Vargas, António Machado, José M. Alvarez-Suarez, Eduardo Tejera

Frontiers Bioinform., 2025

2024

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, December, 2024

2023

Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm.

Karina Beatriz Jimenes Vargas, Yunierkis Pérez-Castillo, Eduardo Tejera, Cristian R. Munteanu

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2021

Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines.

Iván Carrera, Eduardo Tejera, Inês Dutra

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

A Representation Method for Cellular Lines based on SVM and Text Mining.

Iván Carrera, Inês Dutra, Eduardo Tejera

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Representing Cellular Lines with SVM and Text Processing.

Iván Carrera, Inês Dutra, Eduardo Tejera

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

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, Maykel Cruz-Monteagudo, Vinicio Armijos-Jaramillo, M. Natália Dias Soeiro Cordeiro, Fernanda Borges, Aminael Sánchez-Rodríguez, Eduardo Tejera

J. Chem. Inf. Model., 2019

2015

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, M. Natália Dias Soeiro Cordeiro, Cesar Paz-y-Miño, Eduardo Tejera, Fernanda Borges, Maykel Cruz-Monteagudo

J. Chem. Inf. Model., 2015

2012

Preeclampsia: a bioinformatics approach through protein-protein interaction networks analysis.

Eduardo Tejera, João Bernardes, Irene Rebelo

BMC Syst. Biol., 2012