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The Fragment Molecular Orbital Method Based on Long-Range Corrected Density-Functional Tight-Binding.

Van Quan Vuong1, Yoshio Nishimoto2, Dmitri G Fedorov3

  • 1Bredesen Center for Interdisciplinary Research and Graduate Education , University of Tennessee , Knoxville , Tennessee 37996 , United States.

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Summary
This summary is machine-generated.

A new computational method, fragment molecular orbital-long-range corrected density-functional tight-binding (FMO-LC-DFTB), overcomes self-interaction errors in simulations. This advance enables accurate modeling of zwitterionic systems like proteins and ionic liquids.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Biophysics

Background:

  • Existing linear scaling methods for density-functional tight-binding (DFTB) using fragment molecular orbital (FMO) suffer from self-interaction error (SIE).
  • This SIE causes artificial charge transfer, limiting the accurate simulation of zwitterionic systems, including biopolymers and ionic liquids.

Purpose of the Study:

  • To develop an extended FMO-DFTB method incorporating a long-range corrected (LC) functional to mitigate SIE.
  • To create a robust computational approach, termed FMO-LC-DFTB, capable of accurately simulating zwitterionic systems.

Main Methods:

  • Extension of FMO-DFTB by integrating a long-range corrected (LC) functional to address SIE.
  • Development of energy and analytic gradient calculations for both gas phase and polarizable continuum model (PCM) solvation.
  • Assessment of FMO-LC-DFTB's linear scaling properties (O(N^1.13-1.28)) and numerical accuracy across diverse systems.

Main Results:

  • The FMO-LC-DFTB method successfully simulates zwitterionic systems, overcoming limitations of previous approaches.
  • Calculations show near-linear scaling with system size and high accuracy for neutral and charged polypeptides.
  • Pair interaction energies for mini-proteins align well with long-range corrected density functional theory (LC-DFT) results.
  • The method was applied to 1 ns molecular dynamics of a tryptophan cage protein and structure searches of ionic liquid clusters (up to 2300 atoms).

Conclusions:

  • FMO-LC-DFTB provides a robust and accurate computational tool for simulating complex zwitterionic molecules.
  • The developed method significantly advances the capability to model biological systems and ionic liquids with improved fidelity.