Deep learning model for the prediction and classification of protein toxins across all domains of life

Javier Caceres-Delpiano, Roberto Ibañez, Simon Correa, Michael P. Dunne, Pedro Retamal, Leonardo Álvarez

bioRxiv 2021.06.29.450401; doi: https://doi.org/10.1101/2021.06.29.450401

Protein sequence sampling and prediction from structural data

Gabriel A. Orellana, Javier Caceres-Delpiano, Roberto Ibañez, Michael P. Dunne, Leonardo Alvarez

bioRxiv 2021.09.06.459171; doi: https://doi.org/10.1101/2021.09.06.459171

Deep learning enables the design of functional de novo antimicrobial proteins

Javier Caceres-Delpiano, Roberto Ibañez, Patricio Alegre, Cynthia Sanhueza, Romualdo Paz-Fiblas, Simon Correa, Pedro Retamal, Juan Cristóbal Jiménez, Leonardo Álvarez

bioRxiv 2020.08.26.266940; doi: https://doi.org/10.1101/2020.08.26.266940

ExpressUrself: A spatial model for predicting recombinant expression from mRNA sequence

Michael P. Dunne, Javier Caceres-Delpiano

bioRxiv 2022.12.02.518907; doi: https://doi.org/10.1101/2022.12.02.518907

BIOCHEMICAL SATURATION OF MOLECULES AND ITS USE

2021

Leonardo Alvarez

21815060

ANTIFUNGAL PROTEIN COMPOSITION

2022

Leonardo Alvarez

17660969

SYSTEMS AND METHODS FOR PREDICTING PROTEINS

2020

Leonardo Alvarez

17753024