Cheyenne

@parmita Cell therapy will be one of the most effective anti aging treatments IMO

I interviewed @geochurch and learnt we're already gene editing humans. You just haven't noticed. 0:00 - Gene Editing Mammals → Humans 8:36 - Germline vs Somatic 14:56 - Modified Humans Are Already Here 18:50 - Enhancing Healthy Humans 25:00 - Aging Therapies vs Cognitive Enhancement 30:20 - Embryo Selection 38:10 - Is US Losing To UAE? 42:33 - Biotech Failures 49:31 - Next Dire Wolf Moment 54:21 - AI x Science 1:02:07 - Synthetizing Entire Genomes

@m_goes_distance Awesome episode. Watched it yesterday

@somewheresy Don’t leave once you succeed. Keep at it, keep winning.

We should give the average AI user the ability to run their own experiments, submit their own regulatory filings, etc, etc IMO this is an appeal to heaven scenario. People should be given agency over their own health and treatments, choosing how much risk they are willing to take on.

@josiezayner I’m better than Claude because I spool up a legion of Claudes.

@sokrypton @mkoeris Do you think it’s feasible to use molecular simulation data as “low quality” biology data?

@yacineMTB My response when people ask why I’m using linear regression still

@deboramarks 100% of designed binders successfully bind to their target. I don’t think that will be possible with only model improvements. We’ve essentially reached the limit of what can be done with the PDB data. Ideally there should be more work done on data ontologies for biology

@deboramarks It’s not done until 100% hit rate achieved. So far we are getting ~10% hit rate with only 1-2% having decent affinities. Expanding beyond just PPI is also extremely important.

@SimoneSyed Routine bloodwork seems ideal. It’s not constant monitoring but gives enough actionable feedback to actual improvement how you feel day to day

Does anyone else start feeling sick after spending too much time with the in vivo data? I went into computation because in vivo breaks my heart. Here I am again 💔

@parmita Just curious what it looks like to use your platform. We are building out our tox workflows right now to try to minimize adverse event risk.

@yacineMTB Okay but can I do this w/biology data because that would be incredible

@Gabogonzalez515 I imagine coffee wasn’t super hard to discover. You can boil all sorts of leaves and fruits to extract nutrition out of something that’s basically inedible. Food abundance is a modern invention so people were likely boiling all sorts of stuff to survive.

@parmita They can’t fathom that some people would rather save lives than program targeted ads.

@vesriram @iskander How many do you generally do as a panel of “alike” targets? I’ve been avoiding this because it can get somewhat expensive

@iskander Depends on your downstream use case, but I do think it’s worth it in general

@kalomaze Applied AI is really meat+butter. Translating new AI models and innovations to real-world applications will always be around, and it’s extremely fulfilling to see how the ML/AI insights lead to real products!

@iskander Ovalbumin is commonly used for antibody nonspecificity. Maybe a decent place to also start w/small protein binders? Especially if you cannot afford a larger panel or want to narrow down variants before a larger panel