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Exact analytical algorithm for solvent accessible surface area and derivatives in implicit solvent molecular

Xin Cao^1,2, Michelle H Hummel³, Yuzhang Wang⁴

¹Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, United States.

|February 5, 2024

Summary

This summary is machine-generated.

dSASA offers an exact geometric method for calculating solvent accessible surface area (SASA) derivatives on GPUs. This approach accelerates molecular dynamics simulations, showing significant speedups over CPU versions.

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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

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Area of Science:

Computational chemistry
Biophysics
Molecular modeling

Background:

Accurate calculation of solvent accessible surface area (SASA) is crucial for molecular simulations.
Existing methods for SASA calculation can be computationally intensive.
Efficient calculation of atomic derivatives is needed for molecular dynamics.

Approach:

dSASA (differentiable SASA) is an exact geometric method for analytical SASA and derivative calculation on GPUs.
Uses Delaunay tetrahedrization for efficient GPU implementation.
Calculates SASA using tetrahedrization and inclusion-exclusion principles.

Key Points:

dSASA achieves >98% accuracy compared to numerical methods for proteins and RNAs.
Implemented in Amber, enabling GPU-accelerated implicit solvent molecular dynamics simulations.
dSASA significantly outperforms LCPO for large systems, with up to 20x speedup on GPUs.

Conclusions:

dSASA provides an accurate and efficient method for SASA calculations and derivative computations.
Enables faster and more robust molecular dynamics simulations, particularly for implicit solvent models.
Demonstrates stable GB/SA MD simulations for mini-proteins, highlighting its applicability.