SurfPB: A GPU-Accelerated Electrostatic Calculation and Visualization Tool for Biomolecules

Area of Science:

• Computational chemistry
• Biophysics
• Molecular modeling

Background:

• Accurate calculation of molecular properties is crucial for understanding biomolecular interactions.
• Existing tools may lack efficiency or user-friendliness for complex calculations.
• Entropy calculation is often a bottleneck in biomolecular studies.

Purpose of the Study:

• Introduce SurfPB, a versatile computational tool for biomolecular studies.
• Enhance the efficiency of key calculations, particularly entropy.
• Provide an intuitive graphical user interface for accessibility.

Main Methods:

• Development of SurfPB with GPU acceleration for Poisson-Boltzmann solver and entropy calculations.
• Implementation of calculations for molecular surface, electrostatic potential, solvation free energy, entropy, and binding free energy.
• Creation of a graphical user interface for parameter input and visualization.

Main Results:

• SurfPB offers accelerated entropy calculations on GPU.
• The tool supports calculations in vacuum or implicit solvent.
• A graphical user interface enables visual parameter input and 3D visualization of electrostatic potentials.

Conclusions:

• SurfPB provides an efficient and user-friendly platform for biomolecular property calculations.
• GPU acceleration significantly speeds up time-consuming computations.
• The integrated GUI enhances accessibility for researchers in computational chemistry and biophysics.