ConDo: protein domain boundary prediction using coevolutionary information.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 15, 2019
Abstract
MOTIVATION: Domain boundary prediction is one of the most important problems in the study of protein structure and function. Many sequence-based domain boundary prediction methods are either template-based or machine learning (ML) based. ML-based methods often perform poorly due to their use of only local (i.e. short-range) features. These conventional features such as sequence profiles, secondary structures and solvent accessibilities are typically restricted to be within 20 residues of the domain boundary candidate.