Joined February 2013
1 Photos and videos
Piotr Draczkowski retweeted
A new @IMol_Institute study in Science Advances sheds light on mitochondrial protein import. science.org/doi/epdf/10.1126… Huge credit to this outstanding team of co-authors!
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A special thanks to @asibc512, Szu-Ni Chen, Ting Chen, Yong-Sheng Wang, and Yuan-Chih Chang for making this possible.
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It has been a long but incredibly valuable journey, filled with ups and downs, culminating in an exhausting publishing process. However, thanks to the tremendous efforts of all the coauthors, our publication is finally out!
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In this study, we enhance the structural understanding of the ubiquitin code by revealing previously unseen K11/K48-branched Ub chain topology and its recognition by the proteasome.
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Piotr Draczkowski retweeted
15 Oct 2025
What a day! We published two papers describing the lives of proteins from Alpha shorturl.at/ZeAG7 to Omega shorturl.at/b79Eu Seeing these processes through the lens of structural biology is so satisfying
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Piotr Draczkowski retweeted
15 Oct 2025
@PDraczkowski serendipitously found the K11/K48 branch, which is confirmed by Ub-AQUA and Ub-clipping. Amazing support from our #cryoEM and #proteomics MS core at @AcademiaSinica
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Piotr Draczkowski retweeted
📣 Job alert! Our partner group, the Dioscuri Centre for Modeling of Posttranslational Modifications @BioPhysMatt, is seeking a talented individual in the field of #ComputationalBiophysics. Apply ✏️✅! #AssistantProfessor 👉 biophys.mpg.de/2858196/Postd…
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Piotr Draczkowski retweeted
6 Mar 2025
Very pleased to know that our recent work on hCoV-229E S:hAPN recognition has been highlighted by Nature Communications alongside the work of the newly minted Nobel Prize laureate David Baker lnkd.in/gUwr4bqZ
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Piotr Draczkowski retweeted
ESMAdam: a plug-and-play all-purpose protein ensemble generator 1. ESMAdam introduces a versatile framework for protein ensemble generation, bridging gaps in high-throughput applications. Leveraging the pretrained ESMFold model and Adam optimization, it excels in efficiency and adaptability compared to traditional methods like molecular dynamics simulations. 2. The method supports a wide range of tasks, including conditional ensemble generation, CG-to-all-atom backmapping, binding mode exploration for protein complexes, and reconstructing 3D structures from cryo-EM images. 3. A key innovation is ESMAdam's reliance on optimizing protein embeddings in a continuous space. Unlike deep generative models, ESMAdam requires no retraining, allowing it to accommodate diverse structural constraints with minimal computational overhead. 4. In protein complex studies, ESMAdam identified metastable binding states previously undetected by molecular dynamics simulations, highlighting its potential for novel discovery in protein-protein interactions. 5. Cryo-EM integration demonstrates ESMAdam's robustness under noisy conditions. It reconstructs conformational ensembles while retaining accuracy in secondary structure prediction, even with significant noise levels. 6. The model achieves Boltzmann-distributed conformations, a feat previously challenging without physics-intensive simulations. It enhances studies on protein dynamics, stability, and interactions. 7. Future directions include reducing computational demands via techniques like LoRA for broader accessibility. ESMAdam positions itself as a critical tool for advancing structural biology and computational protein design. 📜Paper: biorxiv.org/content/10.1101/… #ProteinDesign #AI #StructuralBiology #ComputationalBiology #ESMAdam
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Here’s a brief teaser for our latest preprint reporting the first structures of the K11/K48-branched Ub chain bound to the human proteasome: youtu.be/lAZrYsnoLBc?si=VsEz… Check the full text for more details: biorxiv.org/content/10.1101/… Thx to @asibc512 for making this possible!
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Piotr Draczkowski retweeted
14 Jan 2025
Our preprint on the first glimpse of how the human proteasome recognizes a K11/K48-branched ubiquitin chain is out. This work reveals a new multivalent ubiquitin binding mode by the proteasome that could serve as priority checkin signal for proteolysis. doi.org/10.1101/2025.01.13.6…

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Piotr Draczkowski retweeted
14 Jun 2024
Call for AMBER is now open and closes on September 6th. Prof. @A_Chacinska is seeking 2 postdoctoral researchers for 2 projects in structural biology, and molecular cell biology and proteomics. Link to the project website: ambercofund.eu/ @FNP_org_pl @PAN_akademia
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Piotr Draczkowski retweeted
11 Jun 2024
How proteins are imported into human mitochondria? Read the latest publication from @A_Chacinska lab. Find out how Klaudia Maruszczak and @PDraczkowski used computational tools to get first architectural insights into these processes. @NCN_PL
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Piotr Draczkowski retweeted
Anyone ever needs a command palette in ChimeraX?
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Everyone (including me :) is hyped up about the new AF3 today, so let’s mix it up with some other cool science updates from yesterday:
The floor is lava! 🔥 Webb may have detected atmospheric gasses around molten 55 Cancri e, 41 light years from Earth. It’s the best evidence to date for a rocky planet with an atmosphere outside our solar system! go.nasa.gov/3UAG4F8
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Love it :D @wojtek_pokrzywa have an idea to level up the difficulty: how about adding branched K11/K48 Ub chains into the game scenario? ;D
Check out our game, DEGRADATOR! 🎮 Designed to popularize and educate on the ubiquitin-proteasome system and PROTACs. Perfect for kids 12 but not only 😉 Dive into 10 fun levels to explore protein degradation. Available on Google Play and degradator-game.com/ 🚀
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Even BLAST is dating AI now.
9 Nov 2023
The conventional old BLAST now goes AI based with Deep-BLAST and predicts remote homology nature.com/articles/s41587-0…
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