RinPy, a Python Package for Residue Interaction Network Model to Analyze Protein Structures and Predict Ligand...

Area of Science:

• Biochemistry
• Structural Biology
• Computational Biology

Background:

• The residue interaction network (RIN) model is valuable for identifying functional residues and ligand-binding sites in proteins based on contact topology.
• Analyzing these networks aids in understanding protein structure-function relationships.

Purpose of the Study:

• Introduce RinPy, a Python package and GUI for constructing, visualizing, and analyzing RINs.
• Enable efficient analysis of single/multiple protein structures and molecular dynamics trajectories.
• Facilitate the identification of functional residues, ligand-binding sites, and allosteric sites.

Main Methods:

• RinPy calculates centrality measures (degree, closeness, betweenness) for residues within RINs.
• It employs graph spectral analysis to identify hinge regions.
• The package supports multiprocessing for efficient analysis and integrates various molecules (nucleotides, cofactors, ions, etc.).

Main Results:

• RinPy successfully identified known functional and allosteric residues in KRAS and KRAS-SOS1 complexes.
• The tool enables comparative network analysis to study the impact of perturbations like ligand binding or mutations.
• Interactive visualizations and multiple outputs facilitate result interpretation.

Conclusions:

• RinPy provides a robust and efficient platform for RIN analysis in structural biology.
• It aids in understanding protein complex dynamics and the functional implications of structural changes.
• The open-source package is compatible across major operating systems and readily available.