Cloning, expression, purification, crystallization and preliminary X-ray diffraction data of the Pyrococcus horikoshii RadA intein

NMR and crystal structures of the Pyrococcus horikoshii RadA intein guide a strategy for engineering a highly efficient and promiscuous intein

In protein splicing, an intervening protein sequence (intein) in the host protein excises itself out and ligates two split host protein sequences (exteins) to produce a mature host protein. Inteins require the involvement for the splicing of the first residue of the extein that follows the intein (which is Cys, Ser, or Thr). Other extein residues near the splicing junctions could modulate splicing efficiency even when they are not directly involved in catalysis. Mutual interdependence between this molecular parasite (intein) and its host protein (exteins) is not beneficial for intein spread but could be advantageous for intein survival during evolution. Elucidating extein-intein dependency has increasingly become important since inteins are recognized as useful biotechnological tools for protein ligation. We determined the structures of one of inteins with high splicing efficiency, the RadA intein from Pyrococcus horikoshii (PhoRadA). The solution NMR structure and the crystal structures elucidated the structural basis for its high efficiency and directed our efforts of engineering that led to rational design of a functional minimized RadA intein. The crystal structure of the minimized RadA intein also revealed the precise interactions between N-extein and the intein. We systematically analyzed the effects at the -1 position of N-extein and were able to significantly improve the splicing efficiency of a less robust splicing variant by eliminating the unfavorable extein-intein interactions observed in the structure. This work provides an example of how unveiling structure-function relationships of inteins offer a promising way of improving their properties as better tools for protein engineering.

Improved crystallographic models through iterated local density-guided model deformation and reciprocal-space refinement

An approach is presented for addressing the challenge of model rebuilding after molecular replacement in cases where the placed template is very different from the structure to be determined. The approach takes advantage of the observation that a template and target structure may have local structures that can be superimposed much more closely than can their complete structures. A density-guided procedure for deformation of a properly placed template is introduced. A shift in the coordinates of each residue in the structure is calculated based on optimizing the match of model density within a 6 Å radius of the center of that residue with a prime-and-switch electron-density map. The shifts are smoothed and applied to the atoms in each residue, leading to local deformation of the template that improves the match of map and model. The model is then refined to improve the geometry and the fit of model to the structure-factor data. A new map is then calculated and the process is repeated until convergence. The procedure can extend the routine applicability of automated molecular replacement, model building and refinement to search models with over 2 Å r.m.s.d. representing 65-100% of the structure.

phenix.mr_rosetta: molecular replacement and model rebuilding with Phenix and Rosetta

The combination of algorithms from the structure-modeling field with those of crystallographic structure determination can broaden the range of templates that are useful for structure determination by the method of molecular replacement. Automated tools in phenix.mr_rosetta simplify the application of these combined approaches by integrating Phenix crystallographic algorithms and Rosetta structure-modeling algorithms and by systematically generating and evaluating models with a combination of these methods. The phenix.mr_rosetta algorithms can be used to automatically determine challenging structures. The approaches used in phenix.mr_rosetta are described along with examples that show roles that structure-modeling can play in molecular replacement.