Toth-Petroczy lab
@tothpetroczylab.bsky.social
320 followers 190 following 17 posts
Protein evolution, IDRs, bimolecular condensates, phenotypic mutations. Science and fun from the ATPlab.
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Reposted by Toth-Petroczy lab
Reposted by Toth-Petroczy lab
elishakrieg.bsky.social
AI can now generate fake microscopy images that are nearly impossible to detect. A serious threat to scientific integrity—and we’re not prepared for it.

Commentary in @natnano.nature.com

#nanotechnology
Reposted by Toth-Petroczy lab
humantechnopole.bsky.social
🧬 We're excited to host the 13th Symposium on Structural #Proteomics at HT in Milan on 6–8 Oct 25! Join this international meeting with talks on protein structure and interactions by crosslinking MS, HDX-MS, native MS, chemoproteomics & more 👉 ssp2025.squarespace.com
▶️ @ssp2025.bsky.social
Reposted by Toth-Petroczy lab
Reposted by Toth-Petroczy lab
poldresden.bsky.social
Big news 🎉 We are excited to announce the new TUD graduate school "Biomolecular Condensates: From Physics to Biological Functions", with 12 members from PoL! Through this school, we will train a new generation of scientists working on #condensates at the interphase between theory and experiments 🤓⤵️
tudresden.bsky.social
Hochaktuelles Themenfeld an der Schnittstelle von Physik, Biologie und Polymerforschung: Die @dfg.de fördert ab 2026 mit rund 7 Millionen Euro ein neues Graduiertenkol­leg zur Erforschung biomolekularer Kondensate in #Dresden. 🔬
ℹ️ tu-dresden.de/tu-dresden/n...
Foto einer Person in einem Treppenhaus.
Reposted by Toth-Petroczy lab
cdcode.bsky.social
The latest release was supported by the #condesathon joined by @mpi-cbg.de condensate community🤩

Big #thankyou to all the participants from
@hymanlab.bsky.social, @tothpetroczylab.bsky.social and von Appen labs for your support and enthusiasm!💜
tothpetroczylab.bsky.social
Congratulations to the amazing team of Chi Fung Willis Chow, @mscheremetjew.bsky.social, Soumyadeep Ghosh, @annaha-poetry-art.bsky.social and HongKee and Lena from the Scientific Computing Facility @mpi-cbg.de! 🎉
Reposted by Toth-Petroczy lab
poldresden.bsky.social
One week left to apply to the Physics of Life MSc this year! Students learn first-class research skills and can also avail of #scholarships to aid their studies.

Learn more and apply: physics-of-life.tu-dresden.de/career-educa...

#internationalstudents #MSc #EnglishMSc #Physics #studyabroad
cmcb-tud.bsky.social
Good news: there will be 3 scholarships available for Physics of Life MSc students starting in 2025!

✅ €300/month for 1 year
✅ No separate application—admitted students are automatically considered.

Apply now ➡️ tud.link/vejrmx

#Biophysics #PhysicsofLife #StudyinGermany #Masters #Biology
Reposted by Toth-Petroczy lab
Exciting that CD-CODE is now connected to THE go-to resource for everything protein-related!

It's a great step forward, directing further developments and outlook for our project @tothpetroczylab.bsky.social @mscheremetjew.bsky.social 🥳
tothpetroczylab.bsky.social
We conclude that new IDR-specific features and paradigms are needed to accurately classify disease mutations within those regions. Disorder-to-order transitions predicted by AlphaFold3 and motif predictions (e.g. by SHARK-capture) may aid structure-based variant interpretation.
tothpetroczylab.bsky.social
The distance to the second Methionine discriminates between pathogenic and benign variants associated with the N-Methionine site.
tothpetroczylab.bsky.social
Mutations at the N-Methionine site are prevalent. Look at the surprisingly high peak at position 1.
tothpetroczylab.bsky.social
Most mutations in disordered regions are benign but ~12% of pathogenic mutations fall within a disordered region.
tothpetroczylab.bsky.social
The correlation between the disorder predictors is low.
tothpetroczylab.bsky.social
It depends which disorder definition (score) is used. Only 7% of residues are consistently predicted as disordered across five different disorder prediction tools. flDPnn under predicts disorder compared to other methods.
tothpetroczylab.bsky.social
State-of-the-art VEPs tools have lower sensitivity but higher specificity for variants in disordered regions.
Reposted by Toth-Petroczy lab
mpi-cbg.de
New Publication of the @tothpetroczylab.bsky.social: The group found that prediction tools are less sensitive in intrinsically disordered regions of proteins (IDRs). Since they are common & important, new methods tailored to these regions are needed. bmcgenomics.biomedcentral.com/articles/10....
Reposted by Toth-Petroczy lab
mpi-cbg.de
The @tothpetroczylab.bsky.social together with the @albertilab-tud.bsky.social developed SHARK-capture to detect recurring patterns (motifs) in intrinsically disordered protein regions (IDRs). Publication in Protein Science. www.mpi-cbg.de/news-outreac...
logo with a shark
tothpetroczylab.bsky.social
Proteome-wide predictions of motifs in S. cerevisiae are available. Matches to ELM motifs, UniProt motifs, and mutagenesis sites (UniProt) are enriched in SHARK-motifs compared to the random control. An example output: SHARK-capture score plot for Sic1.
tothpetroczylab.bsky.social
SHARK-capture identifies a highly conserved motif (in pink) amongst Ded1p orthologs which regulates ATPase activity. Interestingly, AlphaFold2 predicts close proximity between the motif and the helices core.