Authors: Sean O'Donoghue, Kenneth Sabir, Andrea Schafferhans, Burkhard Rost, Vivian Ho, Fabian Buske, Maria Kalemanov, Nelson Perdigao, Julian Heinrich, Christian Stolte
Abstract: To understand the molecular mechanisms that give rise to a protein's function, biologists often need to (i) find and access all related atomic-resolution 3D structures, and (ii) map onto these structures sequence-based features (e.g., domains, SNPs, or posttranslational modifications). We recently developed Aquaria, a resource offering unprecedented access to protein structure information. Aquaria allows biologists to query by gene name or protein synonym and explore (often large numbers of) sequence-similarity based matches of solved structures, ranked and grouped according to sequence similarity and alignment position. Annotated features are tightly integrated into one interactive user interface and can be viewed in their spatial context. In this poster, we give an overview of the system and its visualisation features.