Partitioning, representation, and automation in canonical and non-canonical peptide modelling
Date:
Talk discussing the importance of proper dataset partitioning and choice of negative peptides, the choice of representation and how can we automate Machine Learning models for natural and synthetic peptide property prediction, with the aim of accelerating peptide/peptidomimetic drug development.