Tamas Hegedus

senior research fellow @semmelweishu, exp: transmem protein, 3D computational biology; father of 3

[Tamas Hegedus @biohegedus]

Our paper with @geislerlab on ABCG36 substrate specificity is out!
🔬 biochemistry + MD simulations
📖 https://t.co/qUWi0ApCIM

#Protein #Transmembrane #MolecularDynamics #Biochemistry #ABCtransporters

[Tamas Hegedus @biohegedus]

Our working version of RFantibody, the AI-powered antibody design pipeline from Baker-lab for Docker and Singularity at https://t.co/qvFdIJ6ej4
Support: https://t.co/3wnFE5vVib
#proteinengineering #antibodydesign #HPC #bioinformatics

[Norbi Deutsch @NorbiDeutsch]

(1/5)
Excited to share our latest preprint! We reveal how intrinsically disordered protein regions (IDRs) harbor critical pathogenic mutations, often overlooked in clinical genomics. 🧬
https://t.co/IoNHnPiJPz
#Genomics #Bioinformatics #AlphaMissense #IDPs #Dlab #IDP2Biomed

[Erdős Gábor @gerdos14]

I'm excited to share that our latest manuscript accepted and published in @JMolBiol. We created AIUPred-binding which use energy embedding and AlphaMissense scores to accurately predict functional binding regions. https://t.co/XnW6zpI8cO

#IDP2Biomed, #Dosztanyilab

[Protein Bioinformatics Research Group @ProtBioinfRG]

MFIB2.0 has just been published in Nucleic Acids Research. Thanks for all authors @dobsonlaszlo1 , @e_ficho! https://t.co/0wIFUnkSGI

[Logan Kilpatrick @OfficialLoganK]

AlphaFold 3 model code and weights are now both available for academic use on GitHub.

The golden age of computational science is about to begin!

https://t.co/sKiQbSS1jM

[Erdős Gábor @gerdos14]

🚀 Excited to announce our latest paper just published! Discover new insights into protein disorder and prediction methods in computational biology. https://t.co/FjWVmt1Zop #DosztányiLAB #Bioinformatics #IDPs #ProteinResearch

[Google DeepMind @GoogleDeepMind]

“Congratulations to John, the #AlphaFold team, and everyone at DeepMind & Google that supported us along the way - it’s an amazing award for all of us! It’s such an honour and privilege to work with all of you to advance the frontiers of science.” - @DemisHassabis

Find out more about the Nobel Prize and AlphaFold’s impact → https://t.co/BTwqjTstBA

[The Nobel Prize @NobelPrize]

Work that once took years now takes just a few minutes thanks to this year’s chemistry laureates.

2024 #NobelPrize laureates Demis Hassabis and John Jumper have used their AI model AlphaFold2 to calculate the structure of all human proteins. They also predicted the structure of virtually all the 200 million proteins that researchers have so far discovered when mapping Earth’s organisms.

Google DeepMind has also made the code for AlphaFold2 publicly available, and anyone can access it. The AI model has become a gold mine for researchers. By October 2024, AlphaFold2 had been used by more than two million people from 190 countries.

The picture shows a few of the many examples of how AlphaFold2 helps researchers.

[Paul Robustelli @PaulRobustelli]

I'm excited to share a manuscript from a collaboration with @BonomiMax

"Towards accurate, force field independent conformational ensembles of intrinsically disordered proteins"

led by @DartmouthChem graduate students Kaushik Borthakur and Thomas Sisk

https://t.co/V6Ptv6X98U

[Membrane Enzymology @MembraneEnzymo1]

If you are interested in a joined effort towards building a synthetic cell (including -of course- membrane transporters), have a look at this post: https://t.co/YoBoiiWutK

[Theoretical & Computational Biophysics Department @CompBioPhys]

🚀Would you like to adopt cloud computing for your intensive scientific workloads? 🫴We share our experiences with our large-scale #Dynasome #MD project using #HPC services and the #Cyclone solution from #AWS deploying #GROMACS here 🔗 https://t.co/CeAA8w9X9g 🧐

[Tamas Hegedus @biohegedus]

We published in Scientific Reports how the SARS-CoV-2 E protein disrupts calcium signaling by SERCA interaction, revealing new insights into viral pathogenesis and potential therapeutic targets. Check it out: [https://t.co/eii96voDqy] #COVID19 #Bioinformatics #CalciumSignaling

[Erdős Gábor @gerdos14]

We have an open #phdposition in #bioinformatics & #computational_biology in the context of the Marie Curie ETN "IDPro" (https://t.co/4pQ8iZm12G), with a focus on intrinsic disorder and short linear motifs. More info and apply here:
https://t.co/5XIffRoqwU
#FullyFundedPhD

[bioRxiv Bioinfo @biorxiv_bioinfo]

Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure https://t.co/47w0IeRYCt #biorxiv_bioinfo

[Theoretical & Computational Biophysics Department @CompBioPhys]

🤓Interested in #ionchannels? We have #jobopportunities #PhD students and #Postdocs in our lab @mpi_nat in the #deGroot group! #MD simultaions #computing #physcis #AcademicChatter👉More details in full #job advert🔗 https://t.co/yo1HVNt4Rf or on web https://t.co/6c5wBAFgSw

[Theoretical & Computational Biophysics Department @CompBioPhys]

📩🪄🧙‍♂️#jobvacancy #PhDposition #postdocposition @mpi_nat #biophysics Full job advert: https://t.co/JcDxbn28ig 🤓

[Gonzalo Parra @GonzaParra_]

Be the reviewer you would like to have. You can still point out at mistakes, ask for further analysis or even recommend to reject the paper. But you can do it from empathy and giving positive feedback so authors can improve their work instead of humiliate them. Be a nice human 🫰

[The Journal of Physical Chemistry @JPhysChem]

In this work, @jmaemontgomery and @JustinLemkulVT explore the role of induced electronic polarization as small molecules partitioning into a model membrane. Important differences are observed in some classes of molecules.
https://t.co/JpRsB0KRxE

[Max Bonomi @BonomiMax]

Support the statement!