Protein Bioinformatics Research Group @ProtBioinfRG
Protein Bioinformatics Research Group at the Institute of Molecular Life Sciences, HUN-REN. #protein, #structure, #membrane, #database pbrg.hu Budapest, Hungary Joined April 2016-
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Finally, our book chapter about detecting surface proteins has been published! Thanks to @CsabaMatta and the excellent research colleagues! link.springer.com/protocol/10.10…
It was a great pleasure for me to be involved in the work led by @AndrewFuredi by exploring the cell surface proteome of senescent cells. The results is here: link.springer.com/article/10.118… #cancer #cancerResearch
I am thrilled to announce that our completely redesigned TmDet algorithm has just been published in @NAR_Open ! Simple, double, curved membrane or even erroneously modeled tm proteins are no problem! doi.org/10.1093/nar/gk…
We are delighted that our article about the completely redesigned TmDet algorithm has just been accepted by the Nucleic Acids Research. Check it here: tmdet.unitmp.org
🚀 New in AlphaFold DB: Structural domains at a glance! 🔍✨ AFDB now integrates TED (The Encyclopedia of Domains) to classify functional protein domains. 🔗 More ebi.ac.uk/about/news/upd… 🔗 Explore alphafold.ebi.ac.uk #AlphaFold #TED #ProteinStructures
60 new transmembrane protein structures in this week! Check them out here: pdbtm.unitmp.org/browse/release…
MFIB2.0 has just been published in Nucleic Acids Research. Thanks for all authors @dobsonlaszlo1 , @e_ficho! academic.oup.com/nar/article/53…
The new TmDet server has been launched! It can determine the orientation of membrane proteins to the membrane, even in the case of double membranes or curved membranes, and can also detect errors in modeled transmembrane structures. Check it out in UniTmp: tmdet.unitmp.org
Regularly updated benchmark sets for statistically correct evaluations of AlphaFold applications • This paper introduces BETA (Benchmarking Evaluation Test for AlphaFold), a rigorously curated dataset designed to eliminate data leakage in AlphaFold (AF)-based applications by…
Thrilled to announce Boltz-1, the first open-source and commercially available model to achieve AlphaFold3-level accuracy on biomolecular structure prediction! An exciting collaboration with @jeremyWohlwend, @pas_saro and an amazing team at MIT and Genesis Therapeutics. A thread!
Excited to share that the AlphaFold 3 model code and weights are now available for academic use. Looking forward to seeing what new research this unlocks and how the research community builds on AlphaFold 3 for scientific discoveries github.com/google-deepmin… 1/2
Fresh and crispy. Our paper on the MFIB database has just been published in the @NAR_Open Database issue. doi.org/10.1093/nar/gk…
Our manuscript about MFIB 2.0 database has just been accepted in @NAR_Open . Thanks to all authors and anonymous reviewers and the executive editor @DanielRigden !
Our manuscript about MFIB 2.0 database has just been accepted in @NAR_Open . Thanks to all authors and anonymous reviewers and the executive editor @DanielRigden !
When you lie on your resume but still get the job.. 😂
Nature editor desk rejecting
28 out of them are #membrane #protein. You can find their structures with membrane localization in the UniTmp database: pdbtm.unitmp.org/browse/release…
28 out of them are #membrane #protein. You can find their structures with membrane localization in the UniTmp database: pdbtm.unitmp.org/browse/release…
PDBTM 20240830 release is out. 28 new #membrane #protein structures in the UniTmp database! pdbtm.unitmp.org/browse/release…

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