Back to search

Article

Protein structure prediction and design for high-throughput computing

2025-07-22

Abstract excerpt

Recent advances in structural biology and machines learning have resulted in a revolution in molecular biology. This revolution is driven by protein structure prediction and design tools such as Alphafold3, Chai-1, and Boltz-2 which are now able to accurately model protein structures as well as predict protein-complex formation with a variety of substrates at atomic resolution (i.e., DNA, RNA, small ligands, post-...

Topics

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

Identifiers and source

Literature Corpus work
993bdb9d-61d7-50d9-aeac-4ddebb716e2e
DOI
10.1101/2025.07.18.665594
Open publication

Related research

Semantic proximity does not establish scientific evidence.

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.
Protein structure prediction and design for high-throughput computingDOI 10.1101/2025.07.18.665594
Select a neighboring publication to make it the new centre.