# XiaojingSui

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Xiaojing Sui](https://cerebralvalley.ai/u/xiaojingsui)
- **GitHub:** https://github.com/xiaojingsui/agefold
- **Demo video:** https://youtu.be/y9ErGzObr_E
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/161

AGEFOLD — A CONVERSATIONAL AI TO DECODE THE BIOLOGY OF AGING


WHAT WE BUILT

AgeFold turns a massive structural-proteomics dataset into something
anyone can talk to. Using TMT-LiP-MS in C. elegans, we measured how
6,823 proteins change their 3D shape across 9 conditions of aging and
stress — where each protein loosens, tightens, or unfolds as an animal
grows old.

AgeFold paints that per-residue conformational signal directly onto
AlphaFold structures you can spin in the browser, then wraps the whole
thing in a grounded, multi-agent chat: type any gene, ask "what does it
do, where does its shape change with age, and why does that matter for
human disease?" — and get a cited answer synthesized from UniProt,
InterPro, PDB, disease-variant databases, and our own measurements.


WHAT MAKES IT WORK

- Two doors, one dataset.
  A Researcher mode with the full technical view (9-condition heatmaps,
  ML-predicted aging-vulnerable residues, mapped disease variants,
  worm-to-human orthologs) and a Public mode that re-narrates the same
  verified data in plain language — science communication without
  dumbing down.

- A coordinator routing four specialist agents.
  Structural biology, aging & stress, disease genetics, and data
  analysis — each reasons in its lane and returns one cited response,
  every claim traceable to a source.

- Structure-aware biology.
  It connects altered-conformation regions to functional sites and to
  human disease mutations via homology — turning "this loop moves with
  age" into a testable hypothesis about why.


WHY IT MATTERS

Aging research drowns in data that only a handful of experts can read.
AgeFold makes a genome-scale map of protein conformational aging
explorable by a bench scientist and a curious teenager alike —
surfacing which proteins destabilize with age, connecting those changes
to disease, and doing it conversationally.

It's a template for turning any high-dimensional -omics dataset into a
living, askable resource, and it's deployable for free so the whole
community can use it.


AgeFold. Let aging unfold.

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