Hierarchical representation for PPI sites prediction.

ABSTRACT:

Background

Protein-protein interactions have pivotal roles in life processes, and aberrant interactions are associated with various disorders. Interaction site identification is key for understanding disease mechanisms and design new drugs. Effective and efficient computational methods for the PPI prediction are of great value due to the overall cost of experimental methods. Promising results have been obtained using machine learning methods and deep learning techniques, but their effectiveness depends on protein representation and feature selection.

Results

We define a new abstraction of the protein structure, called hierarchical representations, considering and quantifying spatial and sequential neighboring among amino acids. We also investigate the effect of molecular abs

SUBMITTER: Quadrini M 

PROVIDER: S-EPMC8934516 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature