Deciphering Peptide-Protein Interactions via Composition-Based Prediction: A Case Study with Survivin/BIRC5
Atsarina Larasati Anindya, Torbjörn Nur Olsson, Maja Jensen, María-José García-Bonete, Sally P. Wheatley, Maria I Bokarewa, Stefano A. Mezzasalma, Gergely Katona
The paper predicts peptide-protein interactions using a composition-based model, showing that electrostatic and primary structure features are insufficient for accurate predictions.
Machine Learning Science and Technology · Jun 1, 2024Peer-reviewedBioinformatics