David Medina-Ortiz

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

User Friendly Interface

Data Mining Approaches

Predictive Model

Top Venues

Briefings Bioinform.

Publications

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
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides. Briefings Bioinform. 25 (4) (2024)
David Medina-Ortiz, Pedro Salinas, Gabriel Cabas-Moras, Fabio Durán-Verdugo, Alvaro Olivera-Nappa, Roberto Uribe Paredes
Exploring Machine Learning Algorithms and Numerical Representations Strategies to Develop Sequence-Based Predictive Models for Protein Networks. ICCSA (1) (2023)
Diego Fernández, Alvaro Olivera-Nappa, Roberto Uribe Paredes, David Medina-Ortiz
Exploring Machine Learning Algorithms and Protein Language Models Strategies to Develop Enzyme Classification Systems. IWBBIO (1) (2023)
Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches. CoRR (2021)
Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz
Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach. Database J. Biol. Databases Curation 2021 (2021)
David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Juan A. Asenjo, Alvaro Olivera-Nappa
DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users. Inf. Syst. 93 (2020)
David Medina-Ortiz, Sebastián Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo A. Navarrete, Alvaro Olivera-Nappa
Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins. CoRR (2020)
Jorge Torres-Almonacid, David Medina-Ortiz, Diego Álvarez-Saravia, Julio Águila-Guerrero, Alvaro Olivera-Nappa, Marcelo A. Navarrete
Pattern recognition on antigen-antibody interactions from protein microarrays based on data mining and bioinformatics analysis. SCCC (2019)