Volyro

[Volyro @volyrox]

@TickerThieves Yeah something like that!

[Douglas Yao @DouglasYaoDY]

I am currently fundraising to build the pharma company of the future. Please email me at [email protected] if you are interested (angel checks + VC welcome).

Advances in AI + robotics now enable a ‘single’ human operator to carry out the entire scientific discovery process for a new drug, while costing orders of magnitude less than usual.

As proof, I developed two new drugs by myself, with zero outside investment, and assistance only from frontier AI models and liquid-handling robotics. PAC-832 is the world’s first selective GalR1 antagonist for Alzheimer’s disease. PAC-3310 is a new selective M4 agonist for schizophrenia, improving on the selectivity profile of the breakthrough drug Cobenfry (which spearheaded the $14B acquisition of its developer Karuna Therapeutics).

This level of efficiency is unprecedented and will enable me to generate >40x more clinical-stage drugs (per dollar spent) than a typical pharma company. Pfizer currently has the most clinical-stage drugs at 137. I will be able to reach 10 clinical-stage drugs within 2 years, then surpass Pfizer within the next 5 years.

This plan is contingent on me optimizing one more set of studies known as ‘IND-enabling studies,’ which are required by international regulations to be done prior to clinical trials. This involves me (1) building out my own GMP drug manufacturing facility in SF, and (2) optimizing GLP toxicity studies, which I will be doing in China for cost reasons. Both these things are critical to keep overall costs low and require significant resources, which is why I need to raise money, but are eminently doable. I expect them to take 1-2 years in total. After that, my optimized drug synthesis-to-clinical testing pipeline will be done, and I will start turning the flywheel.

The long-term, hardest, yet most important task will be optimizing the clinical trials themselves. In short, I intend to accomplish this by launching the most comprehensive, worldwide site search campaign that I can muster. Once the clinical trials are optimized, then I can finally close the loop on the make -> test -> iterate cycle whose speed dictates progress in drug discovery.

The 1950-60s are commonly referred to as the ‘golden age of drug discovery’ due to the large number of transformative medicines that emerged from that era. The key to their success was their tight clinical feedback loop - new drugs were synthesized and rapidly tested in the clinic within 1 year. Today, this process takes 10x as long. Enabled by new technologies like AI and robotics, I strongly believe it is possible to bring back the old level of speed and efficiency.

A new golden age of drug discovery is on the horizon, and Pace Pharmaceuticals is its herald.

[Volyro @volyrox]

@DouglasYaoDY Hey dude someone just made a meme coin based on this he is sending fees to you it can be huge if you claim it