title: Exponential Shake-and-Bake: theoretical basis and applications.
abstract: The simple cosine function used in the formulation of the traditional minimal principle and the related Shake-and-Bake algorithm is here replaced by a function of exponential type and its expected value and variance are derived. These lead to the corresponding exponential minimal principle and its associated Exponential Shake-and-Bake algorithm. Recent applications of the exponential function to several protein structures within the Shake-and-Bake framework suggest that this function leads, in general, to significant improvements in the success rate (percentage of trial structures yielding solution) of the Shake-and-Bake procedure. However, only in space group P1 is it presently possible to assign optimal values a priori for the exponential-function parameters.
authors.affiliation: Hauptman-Woodward Medical Research Institute, Buffalo, NY 14203, USA.
authors.forename: H A
authors.initials: HA
authors.lastname: Hauptman
authors.forename: H
authors.initials: H
authors.lastname: Xu
authors.forename: C M
authors.initials: CM
authors.lastname: Weeks
authors.forename: R
authors.initials: R
authors.lastname: Miller
mesh_terms: D000465:Algorithms; D000900:Anti-Bacterial Agents / Q000737:chemistry; D018360:Crystallography, X-Ray; D015233:Models, Statistical; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry
chemical_list: D000900:Anti-Bacterial Agents; D011506:Proteins