arXiv — cs.AI preprintsInternational15 October 2026
Joint Discrete and SE(3) Diffusion for Protein Interface Design
This is an official announcement record
Firsthand records what arXiv — cs.AI preprints announced and links to the original. The wording below is theirs, not ours.
arXiv:2610.14699v1 Announce Type: new Abstract: The design of high-affinity, target-specific protein binders is central to the development of modern therapeutics. However, existing protein-generation methods remain limited in this setting, as many generated designs fail to simultaneously achieve geometric and physicochemical complementarity at binding interfaces. To address this challenge, we introduce PIDiff, a physicochemically enhanced multimodal diffusion framework for protein-protein complex design. PIDiff jointly designs target-conditioned protein sequences and structures by coupling dif
Read the official announcement
Opens arxiv.org
More from arXiv — cs.AI preprints
- Artificiality's First Exam: An LLM-Referenced C-test for Supraintelligence15 October 2026
- The Silent Failures in Agentic Data Science15 October 2026
- ClawLoop: Self-Improving Agents via Harness-Native Training Loop15 October 2026
- Correction Training for Diffusion Models15 October 2026
- Long-Horizon-Terminal-Bench 2.0: Automating Diverse Task Construction and Measuring Sustained Agent Progress15 October 2026
This content is for informational purposes only and is not professional advice. Specifications, prices, plan tiers, and features change frequently and may differ from what is shown here; verify current details on the manufacturer's or company's official page before purchasing. Ratings are based on analysis of published documentation, not independent lab testing.