Tanveer Batth

Co-founder/CEO @KPL_ApS , Proteomics researcher in Copenhagen, Denmark @UCPH_health @NNFCPR . science, technology, culture, memes and vibes.

[Tanveer Batth @ucdmrt]

Our latest bioRxiv preprint characterizes our Arg-C Zero protease (available now at https://t.co/le1gAzp8bf 😏) What you may learn might surprise you!!1!! (ie. equivalent protein group ID's to Trypsin with half the peptide IDs)
#proteomics #teammasspsec

[KPL ApS @KPL_ApS]

🔬 New bioRxiv preprint: Arg-C Zero, recombinant arginyl endopeptidase with >99% cleavage efficiency, proline-adjacent cleavage, Histone and labile PTMs analysis like ADP-ribosylation and comparable proteome depth to Trypsin.

https://t.co/cpWFzASQLG
#Proteomics #TeamMassSpec

[Tanveer Batth @ucdmrt]

@karat_sidhu Still good science being discussed. These weird peptide posts keep popping up but we try to remove them ASAP! 😅

[Tanveer Batth @ucdmrt]

@woongworks Hey Woong very good question! In short we didn't compare with Trypsin alone in this experiment since it is generally performing even worse than compared to Trypsin/LysC. If I had to guess, it would be probably 5-10% worse than the combo of Trypsin/LysC .

[Tanveer Batth @ucdmrt]

🚀 We're very excited to announce KRysin! We have been working on this for a long time and our preprint is finally today on bioRxiv #proteomics #TeamMassSpec

Let’s walk through it 🧵👇
https://t.co/IMZdUxkPcy

[Tanveer Batth @ucdmrt]

Congrats to @JesperOlsenLab @jespervolsen !!Well deserved for his career contribution in #proteomics !!

[Human Proteome @hupo_org]

Congratulations to Jesper Velgaard Olsen, recipient of the Distinguished Achievement in Proteomic Sciences Award!

Presented during the HUPO 2026 Plenary Session on Monday, September 28, the award recognizes Jesper’s contributions to the field of proteomic sciences.

A special thank you to ACS Publications for supporting the Distinguished Achievement in Proteomic Sciences Award.

Congratulations, Jesper, and thank you to everyone who helped make HUPO 2026 a success!

#HUPO2026 #Proteomics #HUPOAwards #ACSPublications

[Tanveer Batth @ucdmrt]

🙏 Huge thanks to @HdezRollan @ClaireKoenig6 , Chairman Mao, @JesperOlsenLab @jespervolsen . Questions and feedback very welcome , feel free to reach out !💬

[Tanveer Batth @ucdmrt]

🤝 Thanks to @GENOVIS , KRysin is now commercially available, and we’re really excited to see how the community puts it to work 👀 We’re far from done in the lab, so expect us to keep flexing our skillz 💪😉

[Sergey Ovchinnikov @sokrypton]

Finally a more intuitive way to learn pLDDT/pAE? 😎
https://t.co/1YWv3AK1cU

(Character idea from @HannesStaerk & Alex Waldherr)

[Tanveer Batth @ucdmrt]

@arjunrajlab lol this thread is a good example of people just burying their head in the sand with so many incorrect statements. Look, I get RNA is easy to measure and analyze but let’s not pretend it tells us more about biology than an estimate of transcript levels.

[Matthias Mann Lab @labs_mann]

Can MS-based proteomics see what histology can’t? We profiled 83 rare paediatric adrenocortical tumours from archival FFPE tissue & found 4 proteome-defined states that predict survival better. Now in @eBioMedicine, led by Rainer Claus & Andreas Metousis. https://t.co/SVHsCrhFBd

[Andrew Dunn @AndrewE_Dunn]

NEW: A U-Copenhagen scientist voiced concerns that Claude might have trained on his enzyme research.

Anthropic's head of life science tells me he is "absolutely certain that that did not happen" in a new interview with @endpts

Full Q&A: https://t.co/0uecsF1KHF

[Vadim Demichev @DemichevLab]

We have released DIA-NN 2.7. Performance improvements (more proteins) and GUI improvements. In particular, added a data completeness filter for pathway analysis. Further feedback on how to improve statistics and visualisation in DIA-NN is very welcome!

[Rafa Schwinger 🇻🇦 @Rafa_Schwinger]

After OpenAI stole the navier stokes work it is obvious that big orgs and universities will need to have their own AI centers running their private IP just like they have their own supercomputers.

Imagine being a big pharma company using ChatGPT rn.

That is urgent.

[Edoardo Contente @edoardocontente]

There is a super shady data control setting on everyone's ChatGPT which makes it seem like your data can be used for training even if you explicitly say to *NOT* improve the model for everyone (1/9)