Learning Peptide Recognition Rules for a Low-Specificity Protein
L. C. Wheeler, A. Perkins, C. E. Wong, M. J. Harms
The paper trains a machine learning model to predict peptide binding specificity for a low-specificity protein by analyzing biochemical features rather than amino acid sequences, revealing hydrophobicity and shape complementarity as key factors.
bioRxiv · Jun 2, 2020Biophysics