Back to search

Article

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

2024-07-13

Abstract excerpt

Accurately predicting how amino acid substitutions alter protein function is a central challenge in biology, with applications from interpreting disease variants to designing vaccines and therapeutics. We introduce HERMES, a family of fast, structure-based models that predict mutational effects from the local atomic environment around each residue. Pre-trained on masked amino acid prediction, HERMES shows strong z...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
43cc29ec-63fb-5e3f-afc0-55e55b3ae974
DOI
10.1101/2024.07.09.602403
Open publication

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability predictionDOI 10.1101/2024.07.09.602403
Select a neighboring publication to make it the new centre.