Endoplasmic reticulum aminopeptidases in the pathogenesis of ankylosing spondylitis

There has been significant progress in our understanding of the pathogenesis of AS. The advent of genome-wide association studies has increased the known loci associated with AS to more than 40. The endoplasmic reticulum resident aminopeptidases (ERAP) 1 and 2 were identified in this manner and are of particular interest. There appears to be a genetic as well as a functional interaction of ERAP1 and 2 with HLA-B27 based on the known functions of these molecules. Recent studies on the structure, immunological effects and the peptide-trimming properties of ERAP 1 and 2 have helped to provide insight into their pathogenic potential in AS. In this review, we explore the role of ERAP 1 and 2 in the pathogenesis of AS. © The Author 2015.

Evaluating viewpoint entropy for ribbon representation of protein structure

While many measures of viewpoint goodness have been proposed in computer graphics, none have been evaluated for ribbon representations of protein secondary structure. To fill this gap, we conducted a user study on Amazon’s Mechanical Turk platform, collecting human viewpoint preferences from 65 participants for 4 representative su- perfamilies of protein domains. In particular, we evaluated viewpoint entropy, which was previously shown to be a good predictor for human viewpoint preference of other, mostly non-abstract objects. In a second study, we asked 7 molecular biology experts to find the best viewpoint of the same protein domains and compared their choices with viewpoint entropy. Our results show that viewpoint entropy overall is a significant predictor of human viewpoint preference for ribbon representations of protein secondary structure. However, the accuracy is highly dependent on the complexity of the structure: while most participants agree on good viewpoints for small, non-globular structures with few secondary structure elements, viewpoint preference varies considerably for complex structures. Finally, experts tend to choose viewpoints of both low and high viewpoint entropy to emphasize different aspects of the respective structure.