DigitalCEO1

Love the wonder of music and the message it brings to us!

[DigitalCEO1 @DigitalCEO1]

We Built the p53 Y220C Probe Design Map. Here Is What We Found. https://t.co/AhpFUiGeoA

[DigitalCEO1 @DigitalCEO1]

We also built a free PAL experiment design checklist covering all six phases from probe site selection to MS analysis — 28 checkpoints with pass/fail criteria at each step.

https://t.co/7jBcDPPTMw

If this thread was useful, the checklist will save you more time.

[DigitalCEO1 @DigitalCEO1]

If your photoaffinity labelling experiment is producing weak or inconsistent crosslinking, there is a good chance the problem is not your probe, your protein, or your UV dose.

It is your vessel.

A thread. 🧵

[DigitalCEO1 @DigitalCEO1]

We put all of this — UV parameters, vessel comparison, controls, labelling efficiency targets, and a full failure mode diagnostic table — into a free reference guide.

No registration. No paywall.

https://t.co/zTSRYZ8ayD

[DigitalCEO1 @DigitalCEO1]

Free KRAS G12C covalent probe design report.

Every nucleophilic residue ranked by SDA attachment tractability.
CYS12 → rank 1 of 46. Validated against sotorasib and adagrasib.

Download, no registration:
https://t.co/zigsACc5nz

#KRAS #ChemicalBiology #DrugDiscovery #CovalentPr

[DigitalCEO1 @DigitalCEO1]

Check our G12D audit (48.2 Hyperscore) on GitHub. https://t.co/uLtLWCEiUm

[DigitalCEO1 @DigitalCEO1]

The Rule of 5 is dead. We need a new benchmark for covalent leads. 🧵

[DigitalCEO1 @DigitalCEO1]

At AXARA, we're mapping 25 parameters—focusing on the synchronization of residency vs. protein turnover.

[DigitalCEO1 @DigitalCEO1]

Private beta is now open on its own dedicated page.
If you're working on PAL, covalent probes, or target engagement, give it a try and tell us what you think.
→ https://t.co/gBTr0tfxyW
[Attach screenshot of a sample report here]
#PAL #PhotoaffinityLabeling #Chemoproteomics

[DigitalCEO1 @DigitalCEO1]

One of the most frustrating parts of photoaffinity labeling is deciding where to attach the SDA tag to your ligand.
Wrong choice = wasted synthesis time, low cross-linking yields, and messy mass-spec data.
How many hours (or weeks) have you lost guessing the best attachment point

[DigitalCEO1 @DigitalCEO1]

We built the AXARA 25-Rule Engine to solve exactly this.
Paste your ligand SMILES and get a professional report in seconds that tells you:

Ranked attachment positions with specific functional groups
Predicted efficiency scores (based on 25 literature-derived rules)

[DigitalCEO1 @DigitalCEO1]

@nofearlimit Explain a cold war with lame duck Europe, lame is lame

[DigitalCEO1 @DigitalCEO1]

@Whale_Guru Break the problem into smaller pieces to get to solutions.

[DigitalCEO1 @DigitalCEO1]

@ShaykhSulaiman Iranian Bob