The rate of polyQ-mediated aggregation is dramatically affected by the number and location of surrounding domains.

The nine polyglutamine (polyQ) neurodegenerative diseases are caused in part by a gain-of-function mechanism involving protein misfolding, the deposition of β-sheet-rich aggregates and neuronal toxicity. While previous experimental evidence suggests that the polyQ-induced misfolding mechanism is context dependent, the properties of the host protein, including the domain architecture and location of the polyQ tract, have not been investigated. Here, we use variants of a model polyQ-containing protein to systematically determine the effect of the location and number of flanking folded domains on polyQ-mediated aggregation.

PolyQ: a database describing the sequence and domain context of polyglutamine repeats in proteins.

The polyglutamine diseases are caused in part by a gain-of-function mechanism of neuronal toxicity involving protein conformational changes that result in the formation and deposition of β-sheet rich aggregates. Recent evidence suggests that the misfolding mechanism is context-dependent, and that properties of the host protein, including the domain architecture and location of the repeat tract, can modulate aggregation. In order to allow the bioinformatic investigation of the context of polyglutamines, we have constructed a database, PolyQ (http://pxgrid.

MrGrid: a portable grid based molecular replacement pipeline.

Background: The crystallographic determination of protein structures can be computationally demanding and for difficult cases can benefit from user-friendly interfaces to high-performance computing resources. Molecular replacement (MR) is a popular protein crystallographic technique that exploits the structural similarity between proteins that share some sequence similarity. But the need to trial permutations of search models, space group symmetries and other parameters makes MR time- and labour-intensive.

Federated repositories of X-ray diffraction images.

There is a pressing need for the archiving and curation of raw X-ray diffraction data. This information is critical for validation, methods development and improvement of archived structures. However, the relatively large size of these data sets has presented challenges for storage in a single worldwide repository such as the Protein Data Bank archive.

Protein Folding Database (PFD 2.0): an online environment for the International Foldeomics Consortium.

The Protein Folding Database (PFD) is a publicly accessible repository of thermodynamic and kinetic protein folding data. Here we describe the first major revision of this work, featuring extensive restructuring that conforms to standards set out by the recently formed International Foldeomics Consortium. The database now adopts standards for data acquisition, analysis and reporting proposed by the consortium, which will facilitate the comparison of folding rates, energies and structure across diverse sets of proteins.