TY  - JOUR 
AU  - Olivares Gil, Alicia
AU  - Barbero Aparicio, José Antonio
AU  - Rodríguez Diez, Juan José
AU  - Diez Pastor, José Francisco
AU  - García Osorio, César
AU  - Davari, Mehdi D.
PY  - 2025
SN  - 1758-2946
UR  - https://hdl.handle.net/10259/11430
AB  - Protein fitness prediction plays a crucial role in the advancement of protein engineering endeavours. However, the combinatorial complexity of the protein sequence space and the limited availability of assay-labelled data hinder the efficient...
LA  - eng
PB  - BioMed Central
KW  - Machine learning
KW  - Protein engineering
KW  - Directed evolution
KW  - Semi-supervised learning
KW  - Protein design
KW  - Tritraining regressor
KW  - Generalized MERGE
KW  - Proteínas
KW  - Proteins
KW  - Bioinformática
KW  - Bioinformatics
TI  - Semi-supervised prediction of protein fitness for data-driven protein engineering
DO  - 10.1186/s13321-025-01029-w
T2  - Journal of Cheminformatics
VL  - 17
ER  -