C-Graphs Tool with Graphical User Interface to Dissect Conserved Hydrogen-Bond Networks: Applications to Visual...

Area of Science:

• Biochemistry and Structural Biology
• Computational Biology and Bioinformatics

Background:

• Dynamic hydrogen-bond networks are crucial for protein plasticity, enabling signal transduction and transport.
• Understanding protein reaction mechanisms requires detailed analysis of these networks.

Purpose of the Study:

• To introduce C-Graphs, an efficient tool for analyzing hydrogen bonds and networks in protein structures.
• To identify conserved versus unique hydrogen bonds and networks using static structures or simulations.

Main Methods:

• C-Graphs employs a clustering algorithm to identify conserved water-mediated hydrogen bonds across static protein structures.
• The tool analyzes datasets of static protein structures or independent numerical simulations.
• Molecular dynamics simulations were used to investigate dynamic hydrogen bond recruitment.

Main Results:

• C-Graphs identified a conserved internal protein-water hydrogen-bond network in visual rhodopsins and adenosine A2A G protein-coupled receptors (GPCRs).
• Molecular dynamics simulations revealed that this conserved network can recruit dynamic hydrogen bonds and extend throughout the receptor.

Conclusions:

• C-Graphs provides an efficient method for identifying conserved hydrogen-bond networks in proteins.
• The identified networks are important for understanding protein plasticity and function in receptors like rhodopsins and GPCRs.