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Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field.

Publication ,  Journal Article
Kim, S; Orendt, AM; Ferraro, MB; Facelli, JC
Published in: J Comput Chem
October 2009

This article describes the application of our distributed computing framework for crystal structure prediction (CSP) the modified genetic algorithms for crystal and cluster prediction (MGAC), to predict the crystal structure of flexible molecules using the general Amber force field (GAFF) and the CHARMM program. The MGAC distributed computing framework includes a series of tightly integrated computer programs for generating the molecule's force field, sampling crystal structures using a distributed parallel genetic algorithm and local energy minimization of the structures followed by the classifying, sorting, and archiving of the most relevant structures. Our results indicate that the method can consistently find the experimentally known crystal structures of flexible molecules, but the number of missing structures and poor ranking observed in some crystals show the need for further improvement of the potential.

Duke Scholars

Published In

J Comput Chem

DOI

EISSN

1096-987X

Publication Date

October 2009

Volume

30

Issue

13

Start / End Page

1973 / 1985

Location

United States

Related Subject Headings

  • Genetics
  • Crystallization
  • Computer Simulation
  • Chemical Physics
  • Algorithms
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 1007 Nanotechnology
  • 0307 Theoretical and Computational Chemistry
  • 0306 Physical Chemistry (incl. Structural)
 

Citation

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Kim, S., Orendt, A. M., Ferraro, M. B., & Facelli, J. C. (2009). Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field. J Comput Chem, 30(13), 1973–1985. https://doi.org/10.1002/jcc.21189
Kim, Seonah, Anita M. Orendt, Marta B. Ferraro, and Julio C. Facelli. “Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field.J Comput Chem 30, no. 13 (October 2009): 1973–85. https://doi.org/10.1002/jcc.21189.
Kim S, Orendt AM, Ferraro MB, Facelli JC. Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field. J Comput Chem. 2009 Oct;30(13):1973–85.
Kim, Seonah, et al. “Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field.J Comput Chem, vol. 30, no. 13, Oct. 2009, pp. 1973–85. Pubmed, doi:10.1002/jcc.21189.
Kim S, Orendt AM, Ferraro MB, Facelli JC. Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field. J Comput Chem. 2009 Oct;30(13):1973–1985.
Journal cover image

Published In

J Comput Chem

DOI

EISSN

1096-987X

Publication Date

October 2009

Volume

30

Issue

13

Start / End Page

1973 / 1985

Location

United States

Related Subject Headings

  • Genetics
  • Crystallization
  • Computer Simulation
  • Chemical Physics
  • Algorithms
  • 3407 Theoretical and computational chemistry
  • 3406 Physical chemistry
  • 1007 Nanotechnology
  • 0307 Theoretical and Computational Chemistry
  • 0306 Physical Chemistry (incl. Structural)