Structural ensembles, not single predictions, drive robust TCR:pMHC generalization
quaidmorris · x · 2026-07-22
- The reply highlights a key takeaway from the study: structural ensembles, not a single predicted structure, carry the biophysical signal needed for robust generalization in TCR:pMHC prediction.
- The authors say the same framework should extend beyond AF3 to Boltz, RoseTTAFold, OpenFold, and related models.
- The post also names the multi-author team behind the work, indicating this is a collaborative research result rather than a casual opinion.
More from Research
- Open-source runtime lets each repo define its own AI code reviewer — ibabufrik · 2026-07-22
- OpenAI and Apollo Research introduce Contrastive SDF to measure reward-seeking — OpenAI · 2026-07-22
- NVIDIA says to tune the harness before tuning the model with LangChain — NVIDIAAI · 2026-07-22
- The Thimble and the Waterfall: AI's Data Bottleneck and Feedback Loops — dyamins · 2026-07-22
- NVIDIA shows 22 SIGGRAPH papers and Omniverse tools for robot simulation — facontidavide · 2026-07-22
- Building a Knowledge Graph Without a Graph DB: 1000x Cheaper Than GraphRAG — TheRedfather · 2026-07-22