Your browser doesn't support javascript.
loading
PyMM: An Open-Source Python Program for QM/MM Simulations Based on the Perturbed Matrix Method.
Chen, Cheng Giuseppe; Nardi, Alessandro Nicola; Amadei, Andrea; D'Abramo, Marco.
Afiliación
  • Chen CG; Department of Chemistry, Sapienza University of Rome, Rome00185, Italy.
  • Nardi AN; Department of Chemistry, Sapienza University of Rome, Rome00185, Italy.
  • Amadei A; Department of Technological and Chemical Sciences, University of Rome Tor Vergata, Rome00133, Italy.
  • D'Abramo M; Department of Chemistry, Sapienza University of Rome, Rome00185, Italy.
J Chem Theory Comput ; 19(1): 33-41, 2023 Jan 10.
Article en En | MEDLINE | ID: mdl-36378163
ABSTRACT
Quantum mechanical/molecular mechanics (QM/MM) methods are important tools in molecular modeling as they are able to couple an extended phase space sampling with an accurate description of the electronic properties of the system. Here, we describe a Python software package, called PyMM, which has been developed to apply a QM/MM approach, the perturbed matrix method, in a simple and efficient way. PyMM requires a classical atomic trajectory of the whole system and a set of unperturbed electronic properties of the ground and electronic excited states. The software output includes a set of the most common perturbed properties, such as the electronic excitation energies and the transitions dipole moments, as well as the eigenvectors describing the perturbed electronic states, which can be then used to estimate whatever electronic property. The software is composed of a simple and complete command-line interface, a set of internal input validation, and three main analyses focusing on (i) the perturbed eigenvector behavior, (ii) the calculation of the electronic absorption spectrum, and (iii) the estimation of the free energy differences along a reaction coordinate.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Simulación de Dinámica Molecular Idioma: En Revista: J Chem Theory Comput Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Simulación de Dinámica Molecular Idioma: En Revista: J Chem Theory Comput Año: 2023 Tipo del documento: Article País de afiliación: Italia