TTAgP 1.0: A computational tool for the specific prediction of tumor T cell antigens. - Jorge Félix Beltrán Lissabet; Lisandra Herrera Belén; Jorge G. Farias (Comput. Biol. Chem., 2019)

AntiVPP 1.0: A portable tool for prediction of antiviral peptides. - Jorge Félix Beltrán Lissabet; Lisandra Herrera Belén; Jorge G. Farias (Comput. Biol. Medicine, 2019)

TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties. - Jesús Herrera-Bravo; Lisandra Herrera Belén; Jorge G. Farias; Jorge Beltrán (Comput. Biol. Chem., 2021)

PEP-PREDNa+: A web server for prediction of highly specific peptides targeting voltage-gated Na+ channels using machine learning techniques. - Jesús Herrera-Bravo; Jorge G. Farias; Fernanda Parraguez Contreras; Lisandra Herrera Belén; Jorge Beltrán (Comput. Biol. Medicine, 2022)

VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation. - Jorge Beltrán; Lisandra Herrera Belén; Jorge G. Farias; Mauricio Zamorano; Nicolás Lefin; Javiera Miranda; Fernanda Parraguez Contreras (Briefings Bioinform., 2023)

MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach. - Jorge Beltrán; Lisandra Herrera Belén; Fernanda Parraguez Contreras; Jorge G. Farias; Jorge Machuca-Sepúlveda; Stefania Short (BMC Bioinform., 2024)

Predicting viral proteins that evade the innate immune system: a machine learning-based immunoinformatics tool. - Jorge Beltrán; Lisandra Herrera Belén; Alejandro J. Yáñez; Luis Jimenez (BMC Bioinform., 2024)