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ORCIDJorge G. Farias
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2020 – today
- 2024
[j6]Jorge Beltrán, Lisandra Herrera Belén, Fernanda Parraguez Contreras, Jorge G. Farias, Jorge Machuca-Sepúlveda
, Stefania Short:
MultiToxPred 1.0: a novel comprehensive tool for predicting 27 classes of protein toxins using an ensemble machine learning approach. BMC Bioinform. 25(1): 148 (2024)- 2023
- [j5]Jorge Beltrán, Lisandra Herrera Belén, Jorge G. Farias, Mauricio Zamorano, Nicolás Lefin, Javiera Miranda, Fernanda Parraguez Contreras:
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. Briefings Bioinform. 25(1) (2023) - 2022
- [j4]Jesús Herrera-Bravo, Jorge G. Farias, Fernanda Parraguez Contreras, Lisandra Herrera Belén, Jorge Beltrán:
PEP-PREDNa+: A web server for prediction of highly specific peptides targeting voltage-gated Na+ channels using machine learning techniques. Comput. Biol. Medicine 145: 105414 (2022) - 2021
- [j3]Jesús Herrera-Bravo, Lisandra Herrera Belén, Jorge G. Farias, Jorge Beltrán:
TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties. Comput. Biol. Chem. 91: 107452 (2021)
2010 – 2019
- 2019
- [j2]Jorge Félix Beltrán Lissabet, Lisandra Herrera Belén, Jorge G. Farias:
TTAgP 1.0: A computational tool for the specific prediction of tumor T cell antigens. Comput. Biol. Chem. 83 (2019) - [j1]Jorge Félix Beltrán Lissabet, Lisandra Herrera Belén, Jorge G. Farias:
AntiVPP 1.0: A portable tool for prediction of antiviral peptides. Comput. Biol. Medicine 107: 127-130 (2019)
Coauthor Index
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