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TMSmesh: A Robust Method for Molecular Surface Mesh Generation Using a Trace Technique.

Minxin Chen1, Benzhuo Lu1

  • 1Department of Mathematics, SooChow University, Suzhou 215006, China and State Key Laboratory of Scientific/Engineering Computing, Institute of Computational Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.

Journal of Chemical Theory and Computation
|November 26, 2015
PubMed
Summary
This summary is machine-generated.

A new method, tracing molecular surface for meshing (TMSmesh), efficiently generates triangulated meshes for biomolecules. This technique handles large systems and is suitable for implicit solvent modeling and electrostatic solvation simulations.

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Area of Science:

  • Computational biology
  • Molecular modeling
  • Scientific computing

Background:

  • Realistic mathematical modeling and numerical simulation of biomolecules are crucial, especially for implicit solvent modeling.
  • Existing methods for molecular surface generation face challenges with large biomolecular systems.

Purpose of the Study:

  • To introduce a novel and efficient method for generating molecular surface meshes.
  • To address the limitations of current surface generation techniques for large biomolecules.

Main Methods:

  • The tracing molecular surface for meshing (TMSmesh) method directly computes surface points by solving nonlinear equations.
  • It employs a trace technique to connect surface points for polygonization, resulting in a triangulated mesh.
  • The method exhibits linear complexity concerning the number of atoms.

Main Results:

  • TMSmesh successfully generates meshes for biomolecules, including those with over one million atoms.
  • The generated meshes are validated through boundary element solutions of the Poisson-Boltzmann equation.
  • This enables simulations of electrostatic solvation for large-scale molecular systems.

Conclusions:

  • TMSmesh provides an efficient and scalable solution for molecular surface meshing.
  • The method facilitates advanced simulations, particularly in implicit solvent modeling and electrostatic analysis.
  • The TMSmesh software and benchmark molecules are publicly available for research.