AGEFOLD

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.