title: Conformation-family Monte Carlo: a new method for crystal structure prediction.
abstract: A new global optimization method, Conformation-family Monte Carlo, has been developed recently for searching the conformational space of macromolecules. In the present paper, we adapted this method for prediction of crystal structures of organic molecules without assuming any symmetry constraints except the number of molecules in the unit cell. This method maintains a database of low energy structures that are clustered into families. The structures in this database are improved iteratively by a Metropolis-type Monte Carlo procedure together with energy minimization, in which the search is biased toward the regions of the lowest energy families. The Conformation-family Monte Carlo method is applied to a set of nine rigid and flexible organic molecules by using two popular force fields, AMBER and W99. The method performed well for the rigid molecules and reasonably well for the molecules with torsional degrees of freedom.
authors.affiliation: Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA.
authors.forename: J
authors.initials: J
authors.lastname: Pillardy
authors.forename: Y A
authors.initials: YA
authors.lastname: Arnautova
authors.forename: C
authors.initials: C
authors.lastname: Czaplewski
authors.forename: K D
authors.initials: KD
authors.lastname: Gibson
authors.forename: H A
authors.initials: HA
authors.lastname: Scheraga
mesh_terms: D003460:Crystallization; D008968:Molecular Conformation; D009010:Monte Carlo Method