David Medina-Ortiz

According to our database, David Medina-Ortiz authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides.

Montserrat Goles, Anamaria Sanchez-Daza, Gabriel Cabas-Mora, Lindybeth Sarmiento-Varón, Julieta Sepúlveda-Yañez, Hoda Anvari-Kazemabad, Mehdi D. Davari, Roberto Uribe Paredes, Alvaro Olivera-Nappa, Marcelo A. Navarrete, David Medina-Ortiz

Briefings Bioinform., 2024

2023

Exploring Machine Learning Algorithms and Protein Language Models Strategies to Develop Enzyme Classification Systems.

Diego Fernández, Alvaro Olivera-Nappa, Roberto Uribe Paredes, David Medina-Ortiz

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Exploring Machine Learning Algorithms and Numerical Representations Strategies to Develop Sequence-Based Predictive Models for Protein Networks.

David Medina-Ortiz, Pedro Salinas, Gabriel Cabas-Moras, Fabio Durán-Verdugo, Alvaro Olivera-Nappa, Roberto Uribe Paredes

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2021

Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches.

Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz

CoRR, 2021

Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach.

Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz

Database J. Biol. Databases Curation, 2021

2020

DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users.

David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Juan A. Asenjo, Alvaro Olivera-Nappa

Inf. Syst., 2020

Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins.

David Medina-Ortiz, Sebastián Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo A. Navarrete, Alvaro Olivera-Nappa

CoRR, 2020

2019

Pattern recognition on antigen-antibody interactions from protein microarrays based on data mining and bioinformatics analysis.

Jorge Torres-Almonacid, David Medina-Ortiz, Diego Álvarez-Saravia, Julio Águila-Guerrero, Alvaro Olivera-Nappa, Marcelo A. Navarrete

Proceedings of the 38th International Conference of the Chilean Computer Science Society, 2019