Crystallographic model validation: from diagnosis to healing.
Model validation has evolved from a passive final gatekeeping step to an ongoing diagnosis and healing process that enables significant improvement of accuracy. A recent phase of active development was spurred by the worldwide Protein Data Bank requiring data deposition and establishing Validation Task Force committees, by strong growth in high-quality reference data, by new speed and ease of computations, and by an upswing of interest in large molecular machines and structural ensembles. Progress includes automated correction methods, concise and user-friendly validation reports for referees and on the PDB websites, extension of error correction to RNA and error diagnosis to ligands, carbohydrates, and membrane proteins, and a good start on better methods for low resolution and for multiple conformations.
Department of Biochemistry, Duke University, 132 Nanaline Duke Bldg, DUMC 3711, Durham, NC 27710, USA. Electronic address: jsr@kinemage.biochem.duke.edu.
Jane S
JS
Richardson
Michael G
MG
Prisant
David C
DC
Richardson
D018360:Crystallography, X-Ray; D030562:Databases, Protein; D020407:Internet; D008958:Models, Molecular; D011506:Proteins / Q000737:chemistry; D015203:Reproducibility of Results
D011506:Proteins