The increasingly well-documented role of intrinsic disorder in protein behavior and function requires infrastructure improvements to enable enhanced researcher access to related tools and data. A key existing infrastructure is MobiDB, which provides sequence-based predictions for the entire set of UniProtKB proteins from a number of different prediction tools. In addition, current prediction competitions involving disorder are CAID, for pinpointing the regions of proteins likely to be disordered, and a subcompetition of CAFA, where the predicted function of disorder in proteins is assessed. The current project connects and consolidates these infrastructures and investigates how they can best connect to other ELIXIR communities, by addressing the following points across four work packages:

• Improved accessibility for tools that define where disorder is likely to appear in proteins (WP1).
• Better integration of disorder with CAFA, including protein region definitions, so improving the connection between function and disorder (WP2).
• Exploration of emerging disorder definitions and data for future prediction challenges (WP3).
• A gap analysis study to connect to tools and data from the 3D-Bioinfo and Proteomics communities (WP4).

This study includes participation of the Galaxy community and the Interoperability, Tools and Training platforms, with participation from seven ELIXIR Nodes: ELIXIR Italy, ELIXIR Belgium (Wim Vranken, Lennart Martens, Shoshana Wodak, Frederik Coppens), ELIXIR Hungary, ELIXIR Spain, ELIXIR Greece, ELIXIR Germany.