Launching today

Rasayana Virtual Lab

Launching today

Ancient alchemy meets modern computational drug discovery

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Ancient alchemy meets modern computational drug discovery

2 followers

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Rasayana runs traditional longevity remedies (Ayurveda, Traditional Chinese Medicine, dietary folk pharmacology) through modern computational drug discovery: molecular docking against six aging-related protein targets. From 39 candidates, 3 finalists survived a rigorous screen, with binding affinities in the range of approved drugs. Pre-seed stage. A non-transferable Polygon membership token lets early backers pledge toward future products for a discount, crowdfunding-style, not an investment.

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Launch tags:Health & Fitness•Web3•Science

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Hi Product Hunt! I've spent the last months building a computational pipeline that screens traditional-medicine remedies (Ayurveda, Traditional Chinese Medicine, dietary folk pharmacology) against molecular targets involved in aging, using molecular docking (AutoDock Vina). The idea: centuries of empirical trial-and-error in folk pharmacology already found candidates worth a second look — modern structural biology can finally tell us which ones are worth pursuing, before spending years and real money on wet-lab work. We're pre-seed: 3 finalist candidates out of 39, docking results in the range of approved drugs, and we're now looking for a regulatory partner, a wet-lab partner for in vitro validation, and sourcing/manufacturing contacts. There's also a small Polygon-based membership token for early backers who want to pledge toward future products and lock in a discount — not an investment, just a crowdfunding-style way to back the project. Would love feedback, especially from anyone in geroscience, drug discovery, or natural-products research. Happy to answer anything in the comments!

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26d ago

Forum Threads

p/rasayana-virtual-lab

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1d ago

From a docking score to a real lab report

A docking score is a prediction, not evidence. Once our virtual pipeline flags a candidate as promising against a given target, the next step is real wet-lab validation, and that part doesn't run on a laptop.

Over the past couple of weeks we've been emailing contract research organizations (CROs) directly: describing our candidates (without naming them yet), asking about assay availability, pricing, turnaround time, and sample requirements. Several have already replied with real, itemized quotes covering different assay types: enzyme activity assays, cell-based reporter assays, kinase panels.

p/rasayana-virtual-lab

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1d ago

Why we aren't naming our candidates yet

Fair question people keep asking: if you really have candidates, why not just say what they are?

Short answer: composition and use claims around a specific molecule are patentable, but only until you disclose them publicly. The moment a compound-target pairing is out in a forum post, any patent filing on that specific claim becomes much weaker or is foreclosed entirely in most jurisdictions. For a pre-seed project with no funding yet, that filing hasn't happened.

p/rasayana-virtual-lab

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1d ago

The actual targets we test against, and what would count as real proof

Following up on the "why we aren't naming our candidates" thread: the mechanisms themselves aren't the secret, and hiding them wouldn't prove anything anyway. So here they are, properly written up.

We wrote up the six protein roles our docking pipeline tests candidates against, each with the specific biomarker that would actually count as evidence of benefit, not just a docking score:

https://rasayana.andrii-it.de/bl...

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