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Cartesian constraints in QM/MM optimizations.

L López-Sosa1, P Calaminici1, A M Köster1

  • 1Departamento de Química, CINVESTAV, Mexico, Mexico.

Journal of Computational Chemistry
|August 28, 2023
PubMed
Summary
This summary is machine-generated.

This study presents a new algorithm for optimizing molecular assemblies using quantum mechanical/molecular mechanical (QM/MM) methods. The approach effectively handles Cartesian constraints, improving the efficiency of structure optimization for complex systems.

Keywords:
ADFTQM/MMconstrained optimizationdeMon2knormal coordinate space

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics/Molecular Mechanics (QM/MM)
  • Molecular Modeling

Background:

  • Interest in calculating molecular assemblies has grown with the advent of QM/MM methods.
  • Intermolecular interactions significantly influence the structure and dynamics of molecular assemblies.
  • Potential energy surfaces of these systems are complex, featuring numerous shallow minima, complicating local structure optimizations, especially with constraints.

Purpose of the Study:

  • To develop and present an algorithm for structure optimization in normal coordinate space that incorporates Cartesian constraints.
  • To overcome the challenges associated with local structure optimizations of QM/MM molecular assemblies under constraints.

Main Methods:

  • Extension of structure optimization in normal coordinate space to handle Cartesian constraints.
  • Development of an algorithm that integrates Cartesian constraints directly into the projector matrix.
  • Application of QM/MM constrained optimizations using auxiliary density functional theory (ADFT) in deMon2k.

Main Results:

  • The proposed algorithm successfully incorporates Cartesian constraints into the projector matrix, eliminating them from the reduced coordinate space.
  • Constrained minimizations of small molecular systems and amino acids in both gas phase and aqueous environments were performed.
  • Analysis of performance and stability of the constrained optimization algorithm in normal coordinate space was conducted.

Conclusions:

  • The developed algorithm provides an effective method for handling Cartesian constraints in QM/MM structure optimizations.
  • This approach enhances the ability to perform reliable optimizations on complex molecular assemblies with imposed constraints.
  • The study validates the performance and stability of the constrained optimization in normal coordinate space for various molecular systems.