BUSTER uses maximum-likelihood (ML) and maximum-entropy (ME) techniques to overcome two major shortcomings encountered by classical methods (least-squares (LS) + difference maps) when dealing with the refinement and completion of partial structures.
Documentation, Other Resources
Bricogne, G. (1997). "The Bayesian Statistical Viewpoint on Structure Determination: Basic Concepts and Examples", in Methods in Enzymology, 276A, 361-423. C.W. Carter & R.M. Sweet, eds.
Roversi, P., Blanc, E., Vonrhein, C., Evans, G. and Bricogne, G. (2000). Modelling prior distributions of atoms for Macromolecular Refinement and Completion. Acta Cryst., D56, 1313-1323
Last modified: 05/21/05