Scalable Extraction of Information on Protein-Protein Interactions using Topological Data Analysis
This work introduces a scalable TDA framework for extracting information on PPIs directly from localized protein surface patches that leverages multiscale topological descriptors, evaluated from patch-wise point cloud representations of protein mesh surfaces, combined with supervised machine learning models for interface prediction.