Researchers at the IBB-UAB have developed the most comprehensive database available to date to help understand the basis of protein aggregation, a phenomenon associated with ageing and several pathologies. The new resource, A3D-MOBD , brings together the proteomes of 12 of the most studied model organisms which cover distant biological clades and contains over half a million predictions of protein regions with a propensity to form aggregates.
The A3D-MOBD was developed by the Protein Folding and Computational Diseases Group  at the Institut de Biotecnologia i de Biomedicina of the Universitat Autònoma de Barcelona (IBB-UAB), which is directed by Biochemistry and Molecular Biology Professor Salvador Ventura, and in collaboration with scientists from the University of Warsaw, was recently published in the journal Nucleic Acids Research . It provides pre-calculated aggregation propensity analyses and tools for the study of this phenomenon on a proteomic scale, as well as evolutionary comparison between different species.
The new resource builds on the method that the same research group designed in 2015, Aggrescan 3D , but significantly expands the obtainable data. In total, it contains more than 500,000 structural predictions for more than 160,000 proteins from 12 highly characterised model organisms of great interest and widely used biology, biotechnology and biomedicine research. It includes the herbaceous plant Arabidopsis thaliana, the nematode worm Caenorhabditis elegans, zebrafish Danio rerio, the enteric bacterium Escherichia coli, the minimal genome bacteria Mycoplasma genitalium, mouse Mus musculus, the fusion and fission yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe, human Homo sapiens, rat Rattus norvegicus, the fruit fly Drosophila melanogaster and the COVID-19 causative virus SARS-CoV-2. The adaptive architecture of A3D-MOBD allows for future additions of other organisms relevant to the medical, biological, agricultural and industrial sectors.