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Rigid‐CLL: Avoiding constant‐distance computations in cell linked‐lists algorithms

Authors: Ruiz de Angulo, Vicente; Cortés, Juan; Porta, Josep M.; Porta, Josep M.;

Rigid‐CLL: Avoiding constant‐distance computations in cell linked‐lists algorithms

Abstract

AbstractMany of the existing molecular simulation tools require the efficient identification of the set of nonbonded interacting atoms. This is necessary, for instance, to compute the energy values or the steric contacts between atoms. Cell linked‐lists can be used to determine the pairs of atoms closer than a given cutoff distance in asymptotically optimal time. Despite this long‐term optimality, many spurious distances are anyway computed with this method. Therefore, several improvements have been proposed, most of them aiming to refine the volume of influence for each atom. Here, we suggest a different improvement strategy based on avoiding to fill cells with those atoms that are always at a constant distance of a given atom. This technique is particularly effective when large groups of the particles in the simulation behave as rigid bodies as it is the case in simplified models considering only few of the degrees of freedom of the molecule. In these cases, the proposed technique can reduce the number of distance computations by more than one order of magnitude, as compared with the standard cell linked‐list technique. The benefits of this technique are obtained without incurring in additional computation costs, because it carries out the same operations as the standard cell linked‐list algorithm, although in a different order. Since the focus of the technique is the order of the operations, it might be combined with existing improvements based on bounding the volume of influence for each atom. © 2011 Wiley Periodicals, Inc. J Comput Chem, 2012

Keywords

:Optimisation [Classificació INSPEC], Mechanical models, Molecular Biology/Biochemistry [q-bio.BM], Molecular Dynamics Simulation, Steric contacts, Monte Carlo simulations, Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria, Robotic approaches to molecular modeling, Cell linked-lists, [SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], steric contacts, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], mechanical models, Àrees temàtiques de la UPC::Informàtica::Robòtica, Molecular dynamics simulations, nonbonded interactions, robotic approaches to molecular modeling, Classificació INSPEC::Optimisation, molecular dynamics simulations, Classificació INSPEC::Control theory, 004, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, :Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria [Àrees temàtiques de la UPC], [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, :Control theory [Classificació INSPEC], Non-bonded interactions, Molecular Dynamics simulations, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Nonbonded interactions, cell linked-lists, :Informàtica::Robòtica [Àrees temàtiques de la UPC], Monte Carlo Method, Algorithms

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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