SPACER: Server for predicting allosteric communication and effects of regulation

Area of Science:

• Structural Biology
• Computational Biology
• Biophysics

Background:

• Allosteric communication is crucial for protein function and regulation.
• Understanding allosteric mechanisms can reveal new therapeutic targets.
• Existing tools may not fully capture the thermodynamic basis of allostery.

Purpose of the Study:

• To introduce the SPACER server, an interactive framework for analyzing protein allosteric communication.
• To provide users with tools to explore the impact of ligand binding on protein dynamics.
• To facilitate the identification of allosteric sites for drug discovery.

Main Methods:

• Utilizes theoretical concepts from the thermodynamic view of allostery.
• Implements measures to analyze intrinsic protein dynamics and ligand binding effects.
• Provides an interactive platform requiring only a single protein structure as input.

Main Results:

• SPACER visualizes potential allosteric sites within protein structures.
• It enables exploration of communication pathways between regulatory and functional sites.
• Identifies potential effector binding sites as targets for allosteric drugs.

Conclusions:

• The SPACER server offers a user-friendly and theoretically grounded approach to studying protein allostery.
• It aids in understanding ligand-induced conformational changes and communication.
• Facilitates the discovery of novel allosteric drug targets.