Explore it here: biosig.lab.uq.edu.au/structome_al...
Free to use, no login required.
Feedback welcome — especially if you're working on deep evolutionary comparisons.

🕰️ Let these structure-aware sequence alignments reveal a distant past that amino acid sequences alone couldn’t reach.

Using pairwise structure-aware character substitution scores across your proteins, the app computes per-column confidence, maps it to B-factors, and visualizes it in Mol*. You can spot conserved cores.

But structure-aware alignments can mislead if divergent folds cause misalignments. That’s where Structome-AlignViewer comes in — it helps you evaluate how reliable each alignment column is, and where structural consistency holds up.

It’s like turning protein structures into a kind of “structural FASTA.” This lets us compare, align, and analyze proteins based on shape — not just sequence.

In the past www.biorxiv.org/content/10.1...
we used this method to character-based structural phylogenetic trees.

What are structure-aware characters?

Structure-aware characters describe 3D conformation. Each residue gets a label (by Foldseek) based on its spatial context — enabling compact, alignment-ready strings from protein structures.

#Evolution #Phylogenetics #Science

#DecodingEvolution The Molecular Story of Life’s Transformations

#Evolution is often seen in grand transformations dinosaurs into birds, fish onto land. Uncover how tiny changes drive life’s biggest adaptations, revealing evolution’s true blueprint.

pintofscience.com.au/event/from-m...

#Pint25