David Medina-Ortiz

12 papers Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Best Practices for Machine Learning-Assisted Protein Engineering.
J. Chem. Inf. Model.
Fabio Herrera-Rocha, David Medina-Ortiz, Fabian Mauz, Jürgen Pleiss, Mehdi D. Davari
2025 J jnl
From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering.
CoRR
Wen-ran Li, Xavier F. Cadet, David Medina-Ortiz, Mehdi D. Davari, Ramanathan Sowdhamini, Cedric Damour, Yu Li, Alain Miranville, Frédéric Cadet
2024 J jnl
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides.
Briefings Bioinform.
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
2024 J jnl
Peptipedia v2.0: a peptide sequence database and user-friendly web platform. A major update.
Database J. Biol. Databases Curation
Gabriel Cabas-Mora, Anamaria Sanchez-Daza, Nicole Soto-García, Valentina Garrido, Diego Álvarez-Saravia, Marcelo A. Navarrete, Lindybeth Sarmiento-Varón, Julieta Sepúlveda-Yañez, Mehdi D. Davari, Frédéric Cadet, Alvaro Olivera-Nappa, Roberto Uribe Paredes, David Medina-Ortiz
2024 — conf
RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins.
KDIR
David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya, Nicole Soto-García, Roberto Uribe Paredes
2023 — conf
Exploring Machine Learning Algorithms and Numerical Representations Strategies to Develop Sequence-Based Predictive Models for Protein Networks.
ICCSA (1)
David Medina-Ortiz, Pedro Salinas, Gabriel Cabas-Mora, Fabio Durán-Verdugo, Alvaro Olivera-Nappa, Roberto Uribe Paredes
2023 — conf
Exploring Machine Learning Algorithms and Protein Language Models Strategies to Develop Enzyme Classification Systems.
IWBBIO (1)
Diego Fernández, Alvaro Olivera-Nappa, Roberto Uribe Paredes, David Medina-Ortiz
2021 J jnl
Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches.
CoRR
Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz
2021 J jnl
Peptipedia: a user-friendly web application and a comprehensive database for peptide research supported by Machine Learning approach.
Database J. Biol. Databases Curation
Cristofer Quiroz, Yasna Barrera Saavedra, Benjamín Armijo-Galdames, Juan Amado-Hinojosa, Alvaro Olivera-Nappa, Anamaria Sanchez-Daza, David Medina-Ortiz
2020 J jnl
Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins.
CoRR
David Medina-Ortiz, Sebastián Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo A. Navarrete, Alvaro Olivera-Nappa
2020 J jnl
DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users.
Inf. Syst.
David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Juan A. Asenjo, Alvaro Olivera-Nappa
2019 — conf
Pattern recognition on antigen-antibody interactions from protein microarrays based on data mining and bioinformatics analysis.
SCCC
Jorge Torres-Almonacid, David Medina-Ortiz, Diego Álvarez-Saravia, Julio Águila-Guerrero, Alvaro Olivera-Nappa, Marcelo A. Navarrete