title: Statistical experimental design of protein crystallization screening revisited.
abstract: A statistical experimental design approach was used to prepare a set of solutions for the screening of protein crystallization conditions. This approach is shown to be amenable to quantitative evaluation and therefore to the rational optimization of the screening results. All solutions contain a cryoprotectant, thus eliminating the need for subsequent optimization of crystal freezing conditions.
authors.affiliation: LURE, CNRS, CEA, Ministère de la Recherche, BP 34, 91898 Orsay CEDEX, France.
authors.forename: Thanh Tam
authors.initials: TT
authors.lastname: Tran
authors.forename: Isabelle
authors.initials: I
authors.lastname: Sorel
authors.forename: Anita
authors.initials: A
authors.lastname: Lewit-Bentley
mesh_terms: D000465:Algorithms; D002412:Cations / Q000737:chemistry; D003460:Crystallization; D018360:Crystallography, X-Ray / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D005615:Freezing; D006863:Hydrogen-Ion Concentration; D015233:Models, Statistical; D011506:Proteins / Q000737:chemistry*; D012984:Software; D012996:Solutions; D012997:Solvents
chemical_list: D002412:Cations; D011506:Proteins; D012996:Solutions; D012997:Solvents