title: Statistical pattern recognition for macromolecular crystallographers.
abstract: A selection of pattern-recognition techniques is presented with a special focus on those methods that may be of interest to macromolecular crystallographers not indifferent to automated protein model building. An overview of the most common pattern-recognition approaches is given and some popular model-building packages are briefly reviewed within this context.
authors.affiliation: European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, England. rjmorris@ebi.ac.uk
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Morris
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D018360:Crystallography, X-Ray; D016002:Discriminant Analysis; D008958:Models, Molecular; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D025341:Principal Component Analysis; D011506:Proteins / Q000737:chemistry; D012984:Software
chemical_list: D011506:Proteins