Physics – Computational Physics
Scientific paper
2010-06-24
PLoS one 6 (2011) e24563
Physics
Computational Physics
13 pages, 8 figures, published version
Scientific paper
10.1371/journal.pone.0024563
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 hard 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 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 three molecules of biological relevance: methanol, N-methyl-acetamide and a tri-glycine peptide
Alonso Jose L.
Cavasotto Claudio N.
Echenique Pablo
García-Risueño Pablo
Marco Monica de
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