⚙️Large alignments can be tackled in Jalview by running alignment services using Slivka in Jalview 2.12 (now available via Jalview Develop). Downloading a local copy of JABAWS is another option. ⬇️ See below for links to both.

Protein secondary structure can be inferred using a number of machine learning methods. In our latest training video, we explore how two such methods — AlphaFold and JPred — can be accessed from Jalview to compare and contrast results. ▶️ Watch it here: www.youtube.com/watch?v=x7SH...

💊 Finding druggable protein domains is hard—but AlphaFold's PAE data can help. Jalview lets you import this into alignments, so it can be clustered to understand protein structure better. ➡️ PAE import: youtu.be/jowUEG47F-Q?... ➡️ Domain detection: youtu.be/pQC8LTDCbug?...

🧮 Are you making the most of Jalview’s annotation rows? These visual layers add context for interpreting biological structure & function: conservation, alignment quality, consensus, secondary structure, AlphaFold's pLDDT & PAE. ➡️ Group/user-specific annotations can also be created.

Boost your workflow with Jalview’s 'Find' function! ✅ Locate motifs sequentially or en masse ✅ Designate hits as new features ✅ Copy to other alignments ✅ Visualize rapidly using the 'Overview Window' ⏰ Save time and see the big picture. 📖 Read more: www.jalview.org/help/html/fe...