An exact expression to calculate the derivatives of position-dependent observables in molecular simulations with flexible constraints.

PLoS One

Instituto de Química Física Rocasolano, Consejo Superior de Investigaciones Científicas, Madrid, Spain.

Published: June 2012

AI Article Synopsis

  • The study introduces a new algorithm designed to compute the derivatives of physical observables for systems with flexible constraints, which depend on the system's configuration.
  • This algorithm is unique and does not rely on any adjustable parameters, needing only the calculation and inversion of a specific sub-block of the Hessian matrix.
  • The method is validated by comparing its results to the traditional finite-difference approach using both a simple model and three biologically relevant molecular systems: methanol, N-methyl-acetamide, and a tri-glycine peptide.

Article Abstract

In this work, we introduce an algorithm to compute the derivatives of physical observables along the constrained subspace when flexible constraints are imposed on the system (i.e., constraints in which the constrained coordinates are fixed to configuration-dependent values). The presented scheme is exact, it does not contain any tunable parameter, and it only requires the calculation and inversion of a sub-block of the Hessian matrix of second derivatives of the function through which the constraints are defined. We also present a practical application to the case in which the sought observables are the Euclidean coordinates of complex molecular systems, and the function whose minimization defines the flexible constraints is the potential energy. Finally, and in order to validate the method, which, as far as we are aware, is the first of its kind in the literature, we compare it to the natural and straightforward finite-differences approach in a toy system and in three molecules of biological relevance: methanol, N-methyl-acetamide and a tri-glycine peptide.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171457PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0024563PLOS

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