GRAMM Web Server for Protein Docking

Abstract

Prediction of the structure of protein complexes by docking methods is a well-established research field. The intermolecular energy landscapes in protein–protein interactions can be used to refine docking predictions and to detect macro-characteristics, such as the binding funnel. A new GRAMM web server for protein docking predicts a spectrum of docking poses that characterize the intermolecular energy landscape in protein interaction. A user-friendly interface provides options to choose free or template-based docking, as well as other advanced features, such as clustering of the docking poses, and interactive visualization of the docked models.