Systematic prioritization of functional hotspot in RIG-1 domains using pattern based conventional molecular dynamic...

Area of Science:

• Structural biology
• Immunology
• Computational biology

Background:

• Retinoic acid inducible gene 1 (RIG-1) is a crucial protein for detecting viral nucleic acids and initiating antiviral responses.
• Mutations in RIG-1 can impair its function, increasing susceptibility to viral infections.

Purpose of the Study:

• To identify functional hotspots responsible for maintaining the conformational stability of RIG-1 protein domains.
• To understand the structural mechanisms underlying RIG-1 mutations and their impact on protein stability.

Main Methods:

• Utilized a systematic in silico strategy to analyze RIG-1 protein structure and mutations.
• Computationally investigated protein sequence signatures and performed structural comparisons with orthologs.
• Employed molecular dynamics simulations and essential dynamics to analyze conformational transitions.

Main Results:

• Identified approximately 40 hotspot residues critical for RIG-1 domain folding patterns.
• Demonstrated the significance of these residues in structural characterization through analysis of native and mutant structures.
• Provided insights into conformational transitions of hotspot residues in both native and mutant forms.

Conclusions:

• Developed a novel computational approach for identifying signature residues that offer structural insights into protein folding.
• The findings aid researchers in understanding regulatory regions and target-binding sites for therapeutic development in pattern recognition receptor proteins.