Yepgent Science builds and freely shares open predictive models, harmonized datasets, and honest research — so scientists can work computationally: faster, cheaper, and more reproducible. Non-profit, and open to everyone.
Open tools, datasets, and research from Yepgent Science — what you can use today and what we’re building next. Each ships with its models, data, and honest, error-barred validation.
The in-silico safety screen. Enter one molecule → instant cardiotoxicity (hERG) and liver-injury (DILI) triage in a single call.
Multi-channel proarrhythmia — hERG, Nav1.5, Cav1.2 — toward the FDA CiPA in-silico framework.
Why it matters: one channel can miss real risk; the CiPA panel models the fuller proarrhythmia picture regulators are moving toward.
Harmonized, provenance-tracked open datasets and model cards across safety endpoints — free to reuse.
Why it matters: harmonized, source-agreeing data — not bigger models — is the proven lever for better safety prediction.
We publish what we learn — methods, dataset cards, and honest findings, including the negative results (like liver injury’s structure-only ceiling). Open, versioned, and reusable, so the field can build on it rather than repeat it.
Yepgent Science exists to make rigorous in-silico science open and usable — not locked behind a lab or a paywall. Inspect the methods, run the models, and help decide what gets built next.
Every model, dataset, and result is openly licensed, versioned, and scaffold-split with error bars. Reproduce the numbers, audit the methods, reuse the data.
Create an account and run the models directly — each prediction comes with an applicability-domain flag that tells you when to trust the answer, and when not to.
Request endpoints, contribute matched data, and review results in the open. The roadmap follows what the community actually needs.
Yepgent Science is meant to be a shared workspace, not a walled garden. An account lets you run the tools and help steer the work — and everything you contribute stays openly licensed.
Ask for a new endpoint, model, or dataset — and upvote what others have asked for. The roadmap follows the requests.
Have matched assay or exposure data? Submit it through the open schema and get credited in the dataset card.
Comment on models and results, post what you find, and review methods in the open. Science gets better under scrutiny.