Abstract

Data pathologies caused by effects such as diffraction anisotropy and translational noncrystallographic symmetry (tNCS) can dramatically complicate the solution of the crystal structures of macromolecules. Such problems were encountered in determining the structure of a mutant form of Rab27a, a member of the Rab GTPases. Mutant Rab27a constructs that crystallize in the free form were designed for use in the discovery of drugs to reduce primary tumour invasiveness and metastasis. One construct, hRab27aMut, crystallized within 24 h and diffracted to 2.82 Å resolution, with a unit cell possessing room for a large number of protein copies. Initial efforts to solve the structure using molecular replacement by Phaser were not successful. Analysis of the data set revealed that the crystals suffered from both extreme anisotropy and strong tNCS. As a result, large numbers of reflections had estimated standard deviations that were much larger than their measured intensities and their expected intensities, revealing problems with the use of such data at the time in Phaser. By eliminating extremely weak reflections with the largest combined effects of anisotropy and tNCS, these problems could be avoided, allowing a molecular-replacement solution to be found. The lessons that were learned in solving this structure have guided improvements in the numerical analysis used in Phaser, particularly in identifying diffraction measurements that convey very little information content. The calculation of information content could also be applied as an alternative to ellipsoidal truncation. The post-mortem analysis also revealed an oversight in accounting for measurement errors in the fast rotation function. While the crystal of mutant Rab27a is not amenable to drug screening, the structure can guide new modifications to obtain more suitable crystal forms.

Highlights

  • Accounting rigorously for the effects of errors in a statistical model can dramatically enhance the sensitivity of likelihoodbased methods

  • Automated algorithms in Phaser can deal with simple cases of translational noncrystallographic symmetry (tNCS), for instance a single tNCS vector between two groups of molecules, but manual intervention by the user can be required for more complex situations, which includes a complete understanding of the cell content and identifying the tNCS vectors between the molecules (Sliwiak et al, 2014)

  • The asymmetric unit of the hRab27aMut(GppNHp) crystal was estimated to contain a large number of GTPase molecules

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Summary

Introduction

Accounting rigorously for the effects of errors in a statistical model can dramatically enhance the sensitivity of likelihoodbased methods. D75, 342–353 research papers log-likelihood gain (LLG) and Z-scores (McCoy, 2007; Storoni et al, 2004; McCoy et al, 2005) This sensitivity is a double-edged sword, as likelihood-based methods are highly sensitive to defects in their statistical models. For this reason, in crystallographic applications it is essential to account for the statistical effects of anisotropy (McCoy et al, 2007) and translational noncrystallographic symmetry (tNCS; Sliwiak et al, 2014). The likelihood targets in versions of Phaser since v.2.5.4 account for the statistical effects of tNCS arising from translations combined with small changes in conformation and orientation differences up to 10. Automated algorithms in Phaser can deal with simple cases of tNCS, for instance a single tNCS vector between two groups of molecules, but manual intervention by the user can be required for more complex situations, which includes a complete understanding of the cell content and identifying the tNCS vectors between the molecules (Sliwiak et al, 2014)

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