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.
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. 🧵
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
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
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
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)