Protein aggregation is linked to a variety of human diseases and is a major bottleneck in the production of therapeutic proteins.With the recent discovery of the AlphaFold (AF) deep-learning approach, our knowledge of the human protein structure repertoire has skyrocketed.
This structural data can help researchers better understand protein aggregation behaviours and rationally create protein solubility. The Aggrescan3D (A3D) programme is used in this research to compute structure-based aggregation predictions for the human proteome and store the results in a database.
Using the A3D tool, Dawid et.al.(2022) investigate the AF-predicted human protein structures in terms of their aggregation properties in the A3D database (for over 20.5 thousand unique Uniprot IDs).
The A3D database gives a detailed examination of the structure-based aggregation for each entry.
A3D database is freely available at: http://biocomp.chem.uw.edu.pl/A3D2/hproteome
Reference:
Dawid BE A. et. al. (2022)A3D database: structure-based predictions of protein aggregation for the human proteome. Bioinformatics 38(11): 3121-3123.