Automated refinement for protein crystallography.

Publisher Summary This chapter discusses an automated refinement procedure (ARP) for proteins. The basis of ARP is the iterative use of unrestrained least-squares minimization coupled with constant updating of the model. This is comparable to the iterative least-squares/Fourier synthesis approach for small molecules. It requires X-ray data to 2.0 A, or better, to allow unrestrained refinement and improvement of the whole content of the unit cell. At lower resolutions, as a rule, only unrestrained parts of the model are expected to be improved. The quality of data and the initial phase set greatly influences the power of ARP. Applied to the refinement of a medium-size structure at 1.0 A resolution and starting from one heavy-atom position, ARP determined the complete structure in a fully automated manner. ARP uses atomicity as the main property of the structure and differs completely from, for example, direct methods that are based on atomicity through statistical relationships between amplitudes of structure factors.

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