TABI-PB 2.0: An Improved Version of the Treecode-Accelerated Boundary Integral Poisson-Boltzmann Solver.

Area of Science:

• Computational biology
• Biophysics
• Molecular modeling

Background:

• Accurate calculation of electrostatic interactions is crucial for understanding biomolecular function.
• Existing Poisson-Boltzmann solvers face challenges with computational efficiency for large biomolecules.

Purpose of the Study:

• To present TABI-PB 2.0, an advanced treecode-accelerated boundary integral Poisson-Boltzmann solver.
• To improve the computational efficiency and accuracy of electrostatic calculations for solvated biomolecules.

Main Methods:

• Utilizes NanoShaper for surface triangulation and node-patch boundary integral discretization.
• Incorporates a block preconditioner and a fast multipole method (FMP) with barycentric Lagrange interpolation and dual tree traversal.
• Leverages GPU acceleration for performance-critical computations.

Main Results:

• TABI-PB 2.0 demonstrates high accuracy in computing electrostatic potential and solvation energy.
• Efficient performance was validated using complex systems: protein 1A63 and Zika and H1N1 viral capsids.
• The GPU implementation significantly enhances computational speed.

Conclusions:

• TABI-PB 2.0 offers a significant advancement in computational electrostatics for biomolecules.
• The solver provides a robust and efficient tool for researchers in biophysics and computational biology.
• This improved method facilitates deeper insights into molecular interactions and solvation effects.