title: Automated crystallographic system for high-throughput protein structure determination.
abstract: High-throughput structural genomic efforts require software that is highly automated, distributive and requires minimal user intervention to determine protein structures. Preliminary experiments were set up to test whether automated scripts could utilize a minimum set of input parameters and produce a set of initial protein coordinates. From this starting point, a highly distributive system was developed that could determine macromolecular structures at a high throughput rate, warehouse and harvest the associated data. The system uses a web interface to obtain input data and display results. It utilizes a relational database to store the initial data needed to start the structure-determination process as well as generated data. A distributive program interface administers the crystallographic programs which determine protein structures. Using a test set of 19 protein targets, 79% were determined automatically.
authors.affiliation: Northwestern University Feinburg School of Medicine, USA.
authors.forename: Joseph S
authors.initials: JS
authors.lastname: Brunzelle
authors.forename: Padram
authors.initials: P
authors.lastname: Shafaee
authors.forename: Xiaojing
authors.initials: X
authors.lastname: Yang
authors.forename: Steve
authors.initials: S
authors.lastname: Weigand
authors.forename: Zhong
authors.initials: Z
authors.lastname: Ren
authors.forename: Wayne F
authors.initials: WF
authors.lastname: Anderson
mesh_terms: D001331:Automation; D003205:Computing Methodologies; D018360:Crystallography, X-Ray / Q000295:instrumentation*; D023281:Genomics / Q000379:methods; D015394:Molecular Structure; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins