I believe $NAUT is worth several billion today, because it's on a path to enable us to cure deadly diseases like Alzheimer's with a single prompt by 2027-2028. The breakthrough is not better protein measurement. It is reading the state machine of human biology. In Nautilus' tau paper, they found that phosphorylation is not random. pT181 makes pT217 about 8x more likely to appear on the same intact tau molecule. That matters because adding PO4 groups changes tau's charge distribution, which changes its conformation, which changes how tau binds microtubules. Microtubules are the rails neurons use to move mitochondria, vesicles and proteins over enormous distances. Tau helps stabilize those rails. Change tau's molecular configuration enough and: tau detaches → microtubules destabilize → transport breaks → neurons degenerate Alzheimer's may therefore not be "too much phosphorylated tau." It may be a progression through specific molecular states: tau A → pT181 → pT217 → additional PTMs → pathological proteoform And until now we largely could not read that combinatorial layer cleanly. Mass spectrometry measures mass and charge extremely well, but two intact tau molecules can have the same mass while carrying the same phosphate at different positions. Same atoms. Same mass. Very different biological behavior. Fragmentation can help, but reconstructing the exact PTM configuration of millions of intact molecules becomes difficult. Nautilus instead repeatedly interrogates the same intact protein with different probes. Its tau assay currently reads isoform plus 7 phosphorylation sites, creating hundreds of potential molecular states, while reporting about 5.5% end to end CV versus about 25% cited by management as an industry benchmark. And here is where this gets insane. Biology does not appear to occupy every theoretically possible state. Of 768 tau proteoforms their assay could resolve, they observed only 130 across all samples, and far fewer within individual biological systems. That means the real state space may be highly constrained. Now collect enough longitudinal data: initial proteomic state + treatment → final proteomic state Do that across millions of patients and interventions and AI stops being merely descriptive. It becomes predictive. Given molecular state X, what intervention moves the system toward healthy state Y? That is effectively a biological key:lock search problem. For tau alone, that could mean finding the intervention that prevents the proteoform trajectory that causes tau to abandon and damage the neuronal microtubule system. But tau is just one vertical assay. Add alpha synuclein. Amyloid beta. Cancer proteins. Immune proteins. Metabolic proteins. Thousands more. Eventually: genome + proteoform state + treatment history → full body molecular state transition model A genuine digital twin of human biology. The endgame is not simply detecting disease earlier. It is asking: given this person's current molecular state, what intervention moves them back toward the healthy state? And having an AI trained on billions of measured biological transitions produce the answer. That is why I think $NAUT is building something much larger than a proteomics machine. It is building the data layer required for AI to learn how to steer human biology.

The regs are out: Prohibited tech includes pharmaceutical compounds, including a number of important modalities as examples

$MRK $MRNA data amazing HR .58. So $MRK $MRNA data leaked to this website which is now down. HR is .58. oncology-central.com/interpa…

$NAUT is the best stock of all time and when the markets allows you are about to find out with a force you have seen few shares take off. It truly is a masterpiece of science and engineering.

MARTIN SHKRELI VIOLATED LIFETIME PHARMA INDUSTRY BAN, FTC AND STATES SAY IN CONTEMPT CLAIM - CNBC

Out of $nktr completely broken down with no buyers in sight. Big clear out with some other names too, kamikaze large levered $mrna short @ $196.5