SPAED: Harnessing AlphaFold Output for Accurate Segmentation of Phage Endolysin Domains

preprint OA: closed CC-BY-ND-4.0
📄 Open PDF View at publisher
AI-generated summary by claude@2026-07, 2026-07-17

SPAED utilizes AlphaFold's PAE matrix and hierarchical clustering to accurately segment phage endolysin domains, outperforming the state-of-the-art tool Chainsaw in accuracy.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

Summary SPAED is an accessible tool for the accurate segmentation of protein domains that applies hierarchical clustering to the predicted aligned error (PAE) matrix obtained from AlphaFold predictions. It leverages information contained in the PAE matrix to better identify domain-linker boundaries and detect disordered regions. On a dataset of 376 bacteriophage endolysins (proteins that degrade the bacterial cell wall), SPAED achieves a mean intersect-over-union score of 96% and a domain-boundary-distance score of 89% compared to 94% and 70%, respectively, for the state-of-the-art tool Chainsaw. Availability and Implementation SPAED is available on the web at http://spaed.ca and available for download at https://github.com/Rousseau-Team/spaed . Contact Elsa Rousseau - [email protected] , Roberto Vázquez - [email protected]

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-06-04T02:00:05.705006+00:00
License: CC-BY-ND-4.0