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Entropy of Two-Molecule Correlated Translational-Rotational Motions Using the kth Nearest Neighbor Method.
Fogolari, Federico; Esposito, Gennaro; Tidor, Bruce.
Afiliação
  • Fogolari F; Dipartimento di Scienze Matematiche, Informatiche e Fisiche (DMIF), University of Udine, Via delle Scienze 206, 33100 Udine, Italy.
  • Esposito G; Istituto Nazionale Biostrutture e Biosistemi, Viale medaglie d'Oro 305, 00136 Roma, Italy.
  • Tidor B; Istituto Nazionale Biostrutture e Biosistemi, Viale medaglie d'Oro 305, 00136 Roma, Italy.
J Chem Theory Comput ; 17(5): 3039-3051, 2021 May 11.
Article em En | MEDLINE | ID: mdl-33856225
The entropy associated with rotations, translations, and their coupled motions provides an important contribution to the free energy of many physicochemical processes such as association and solvation. The kth nearest neighbor method, which offers a convenient way to estimate the entropy in high-dimensional spaces, has been previously applied for translational-rotational entropy estimation. Here, we explore the possibility of extending the kth nearest neighbor method to the computation of the entropy of correlated translation-rotations of two molecules, i.e., in the product space of two translation-rotations, both referred to the same independent reference system, which is relevant for all cases in which the correlated translational-rotational motion of more than two molecules is involved. Numerical tests show that, albeit the relatively high dimensionality (12) of the space, the kth nearest neighbor approach provides an accurate estimate for the entropy of two correlated translational-rotational motions, even when computed from a limited number of samples.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Chem Theory Comput Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Itália País de publicação: Estados Unidos