Sign in

hbkgenomics.bsky.social

@hbkgenomics.bsky.social
141 followers 59 following 11 posts

hyunbinkim.com

PostsRepliesMedia
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 15/10/2026
Folddisco Release 3 is out 🪩 * Better ranking: Sens@1FP 0.45 → 0.50 on M-CSA catalytic sites * --sensitive to recover motifs with deviations * --aa-subst to allow amino acid substitutions * --novelty-mode to classify motifs as KNOWN or NOVEL 🔗 github.com/steineggerlab/folddisco/releases/latest
github.com
Release Folddisco Release 3-3e193e3 · steineggerlab/folddisco
Folddisco Release 3 improves default ranking, adds geometry- and substitution-tolerant search and novelty screening, and loads large indices much faster. On M-CSA catalytic sites, Sens@1FP rises fr...
020 2
Reposted by @hbkgenomics.bsky.social
Terence Tao @teorth.bsky.social · 11/09/2026
A group of 25 Fields Medalists, including myself, have made a joint declaration on Math and AI: mathandai.org . We welcome additional signatories. See also this article in the Economist announcing the declaration: www.economist.com/science-and-...
mathandai.org
Declaration — Math and AI
Read the declaration and add your name.
422087937 2.1K
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 26/08/2026
Foldseek-Interface enables fast search/clustering of the protein interface universe! We clustered 3.1M PDB dimers into 77,167 groups and found new interfaces keep appearing even as fold discovery plateaus. 🧵 📄 www.biorxiv.org/content/10.6... 🔎 search.foldseek.com/interface 🌐 interface.foldseek.com
110941 109
Reposted by @hbkgenomics.bsky.social
RSG Korea @rsg-korea.bsky.social · 11/08/2026
🎉 RSG-Korea 2026 1st Community Meetup Bioinformatics & computational biology students/ECRs, join us for networking, career talks & food! 🍪 📅 Aug 28, 13:00–18:00 📍 Yonsei University 🎤 Postdoc Talk Junhyung Cha (Harvard) Dongwook Kim (Lausanne) 👉 Register here: docs.google.com/forms/d/e/1F...
032 3
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 01/08/2026
Riboseek is a fast RNA/DNA search. More sensitive than nhmmer at 250x speed. Structure-aware realignment produces MSAs approaching rMSA quality. Plus 1.7M precomputed RNA MSAs, and an API to search your own 📄 www.biorxiv.org/content/10.6... 💾 github.com/steineggerla... 🌐 search.foldseek.com/riboseek
218075 180
Reposted by @hbkgenomics.bsky.social
Kate Michie @kmichie.bsky.social · 19/06/2026
Great summary and insight into Folddisco. 🧶🧬
linkedin.com
Folddisco and the Hidden Cost of Thinking at the Wrong Resolution
Data‑Rich, Insight‑Poor? —LXXIX Kim et al.’s Folddisco paper is easy to misread.
0115 11
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 19/06/2026
ICML is happening in Seoul this year, and I’ve been getting several messages about lab visits. Who else will be in town and would like to meet? @milot.bsky.social lab and mine are planning a dinner on July 7th, after the reception. Let me know if you’re interested!
0269 26
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
So grateful to my collaborators @eunbelivable.bsky.social , @milot.bsky.social, @jwyoon05.bsky.social, and my advisor @martinsteinegger.bsky.social, plus the whole SteineggerLab 🙏 🔗 steineggerlab.com 👥 bsky.app/starter-pack... 🧵7/7
030 3
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
Webserver now pairs with Foldseek & FoldMason: search, motif detection & structure alignment in one workflow. Free, open source, prebuilt indices for AFDB50, PDB, ESM30, BFVD & more. With @milot.bsky.social, @eunbelivable.bsky.social & Cameron L. M. Gilchrist search.foldseek.com/folddisco 🧵6/7
search.foldseek.com
Foldseek Search Server
Foldseek Server offers fast and sensitive protein structure alignments against large protein structure collections
130 3
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
A case from M-CSA: these two enzymes share a fold (high TM-score, low RMSD) but have different active sites and different EC numbers (3.8.1.6 vs 4.2.1.17). Annotation by fold alone would group them together. Folddisco reads the active site instead. 🧵5/7
120 2
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
We also added an M-CSA benchmark to probe enzyme active-site search. On hand-curated catalytic sites, Folddisco improves sensitivity by 25.6% over pyScoMotif (AUC 0.432 vs 0.344), up to 0.463 in sensitive mode. Better at finding the residues that do the chemistry. 🧪 🧵4/7
130 3
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
New in the published version: a verified allosteric motif search. Querying active + allosteric sites together, Folddisco recovers both in 82.9% of cases, pinpointing functional sites that cooperate across a protein. (led by @eunbelivable.bsky.social) 🧵3/7
120 2
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
How? We index every residue pair within 20Å as position-independent geometric features (incl. side-chain orientation). One index serves any motif: short catalytic sites or long discontinuous segments. 20x faster querying and a 4x smaller index than prior tools, with better accuracy. 🧵2/7
120 2
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 06/06/2026
Does your designed active site already exist in nature? Is an uncharacterized protein hiding a catalytic site or a pocket? Folddisco answers both, searching millions of structures for a 3D motif in seconds. @natbiotech.nature.com 🧬 📄 www.nature.com/articles/s41... 🧵1/7👇
nature.com
Structural motif search across the protein universe with Folddisco - Nature Biotechnology
Folddisco enables protein structural motif search in million scale databases.
14715 47
Reposted by @hbkgenomics.bsky.social
Nature Biotechnology @natbiotech.nature.com · 05/06/2026
Structural motif search across the protein universe with Folddisco - @martinsteinegger.bsky.social go.nature.com/4g8lCb0
go.nature.com
Structural motif search across the protein universe with Folddisco - Nature Biotechnology
Folddisco enables protein structural motif search in million scale databases.
13922 39
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 06/06/2026
Meet the Folddisco Marv, designed by Hyunbin Kim, who also developed Folddisco.
1267 26
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 06/06/2026
Folddisco is now published @natbiotech.nature.com. It’s a fast motif search for similar 3D DISCOntinuous residues like catalytic sites or zinc fingers across the entire protein universe. 📄 www.nature.com/articles/s41... 💾 folddisco.foldseek.com​​​​​​​​​​​​​​​​ 🌐 search.foldseek.com/folddisco
nature.com
Structural motif search across the protein universe with Folddisco - Nature Biotechnology
Folddisco enables protein structural motif search in million scale databases.
213455 134
Reposted by @hbkgenomics.bsky.social
jingiyeo.bsky.social @jingiyeo.bsky.social · 03/04/2026
45 novel protein folds in the updated AFESM (AFDB + ESMatlas) manuscript: • 12 high-confidence folds in AFESM • 33 by ColabFold-repredicting 2.3M low-quality domains We show AFDB captures most domains already and ESMfold struggles with novelty 🌏 afesm.foldseek.com 📄 biorxiv.org/content/10.1...
afesm.foldseek.com
AFESM Clusters
Foldseek clustered 820M AlphaFold DB + ESMatlas structures
1219 21
Reposted by @hbkgenomics.bsky.social
Milot Mirdita @milot.bsky.social · 20/01/2026
My time in @martinsteinegger.bsky.social's group is ending, but I’m staying in Korea to build a lab at Sungkyunkwan University School of Medicine. If you or someone you know is interested in molecular machine learning and open-source bioinformatics, please reach out. I am hiring! mirdita.org
mirdita.org
Mirdita Lab - Laboratory for Computational Biology & Molecular Machine Learning
Mirdita Lab builds scalable bioinformatics methods.
710756 107
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 22/10/2025
End-to-end protein design in the browser through evedesign. Generate and interactively explore designs in 2D/3D and export them as codon-optimized DNA. The underlying open source framework (released soon) is build to easily add new methods, more on that soon. 🌐 evedesign.bio
29329 93
Reposted by @hbkgenomics.bsky.social
bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 07/08/2025
Protein Structure Informed Bacteriophage Genome Annotation with Phold www.biorxiv.org/content/10.1101/202…
01410 14
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 22/07/2025
Folddisco webserver result view update: - Added description texts for AFDB - Integrated TaxoView taxonomy visualization & filter by @sunjaelee.bsky.social - Inter-residue distance clustering by DBSCAN to explore motif diversity. 🌐 search.foldseek.com/folddisco 📄 www.biorxiv.org/content/10.1...
03614 36
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 22/07/2025
Today at 2 PM at 3DSIG #ISMBECCB2025, @nbordin.bsky.social presents our joint work on metagenomic-scale clustering and novel domain discovery in predicted structures! 📄 www.biorxiv.org/content/10.1... Also check out poster: B-50 lolalign Sensitive structural alignments by Lasse B-123 BFVD by Rachel
biorxiv.org
Metagenomic-scale analysis of the predicted protein structure universe
Protein structure prediction breakthroughs, notably AlphaFold2 and ESMfold, have led to an unprecedented influx of computationally derived structures. The AlphaFold Protein Structure Database now prov...
2368 36
Reposted by @hbkgenomics.bsky.social
Chan Yeong Kim @chanyeong-kim.bsky.social · 21/07/2025
Our new preprint is out! www.biorxiv.org/content/10.1... In this study, we present the largest systematic analysis of microbiome structure and function, integrating 85K uniformly processed metagenomes from diverse habitats worldwide. @podlesny.bsky.social @jonas-bio.bsky.social @borklab.bsky.social
biorxiv.org
Planetary microbiome structure and generalist-driven gene flow across disparate habitats
Microbes are ubiquitous on Earth, forming microbiomes that sustain macroscopic life and biogeochemical cycles. Microbial dispersion, driven by natural processes and human activities, interconnects mic...
12818 28
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 21/07/2025
Today at 5pm, @eunbelivable.bsky.social will present her work on the Big Fantastic Viral Database (BFVD) at #ISMB2025 in BOSC. She also has a poster B-123 (tomorrow, 22nd), so please drop by to have ta chat and grab some stickers! 📄 academic.oup.com/nar/article/...
1359 35
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 07/07/2025
Thank you for the nice comments. Most figures are made with “soft” or “flat” lighting with gainsboro color for the protein :)
010 1
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 07/07/2025
I’m excited to share our #Folddisco preprint! 🚀 We introduce a novel pairwise-geometric feature set and an optimized index structure to enable scalable structural motif search. Dive into our case studies and key results here: www.biorxiv.org/content/10.1...
biorxiv.org
Structural motif search across the protein-universe with Folddisco
Detecting similar protein structural motifs, functionally crucial short 3D patterns, in large structure collections is computationally prohibitive. Therefore, we developed Folddisco, which overcomes this through an index of position-independent geometric features, including side-chain orientation, combined with a rarity-based scoring system. Folddisco indexes 53 million AFDB50 structures into 1.45 terabyte within 24 hours, enabling rapid detection of discontinuous or segment motifs. Folddisco is more accurate and storage-efficient than state-of-the-art methods, while being an order of magnitude faster. Folddisco is free software available at folddisco.foldseek.com and a webserver at https://search.foldseek.com/folddisco. ### Competing Interest Statement M.S. acknowledges outside interest in Stylus Medicine. The remaining authors declare no competing interests. National Research Foundation of Korea, https://ror.org/013aysd81, 2020M3A9G7103933, RS-2021-NR061659, RS-2021-NR056571, RS-2024-00396026, RS-2023-00250470 Novo Nordisk Foundation, https://ror.org/04txyc737, NNF24SA0092560
090 9
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
Folddisco accurately detects discontinuous motifs like zinc fingers and segment-based motifs, previously requiring separate tools. Additionally, we built a SCOPe benchmark by sampling conserved residues from families and measuring the recall up to the first false positive. 3/9
161 6
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
Folddisco builds indexes faster and smaller than previous tools: indexing AFDB50 (53M structures) takes only ~24h vs. ~20 days (extrapolated) for pyScoMotif. Querying a zinc-finger motif across AFDB50 takes just ~13s, up to 48x faster than pyScoMotif. 4/9
131 3
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
Folddisco can annotate proteins: querying a canonical zinc-finger uncovers an uncharacterized oyster protein and metagenomic proteins. It also detects partial catalytic metal sites in E. coli peptide deformylase. All of these hits would be missed by Foldseek or sequence aligners. 5/9
2121 12
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
Folddisco can distinguish functional states. We searched GPCR activation motifs (CWxP, NPxxY, DRY), clearly separating active/inactive states. A search in the AFDB shows ~53% active, closely mirroring experimental PDB 54%, suggesting AlphaFold might follow its training conformation distribution. 6/9
151 5
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
Folddisco can be applied for PPI interface searches. When querying an interface between antibody chains (gray/black), it successfully identifies matching interfaces within monomeric antibody fragments (cyan), showcasing its potential to detect novel interaction partners and interfaces. 7/9
151 5
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 07/07/2025
We provide a user-friendly Folddisco webserver, enabling instant structural motif searches in PDB, AFDB-Proteomes, AFDB50 (available later today), and ESMatlas (ESM30). Explore it here: search.foldseek.com/folddisco 8/9
141 4
Reposted by @hbkgenomics.bsky.social
bioRxiv Bioinfo @biorxiv-bioinfo.bsky.social · 07/07/2025
Structural motif search across the protein-universe with Folddisco www.biorxiv.org/content/10.1101/202…
02513 25
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 15/05/2025
We've updated our AFESM website to now include biome filtering, allowing exploration of protein structures adapted to specific environments. 🌐 afesm.foldseek.com Read more about the work in the skeetorial 🦋 bsky.app/profile/mart... or our preprint 📄 www.biorxiv.org/content/10.1...
26022 60
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 27/04/2025
We identified 11,941 novel multi-domain combinations. We found membrane-associated domains (e.g., TonB dependent receptor, highlighting domain recombination rather than new folds as a driver of structural innovation. 5/n
191 9
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 27/04/2025
ESMatlas uses MGnify environmental labels. Leveraging this, we computed the lowest common biomes per structural cluster, revealing protein adaptations unique to specific environments, especially extreme ones like hyperthermal, hypersaline, and glaciers. 3/n
151 5
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 27/04/2025
AFESM: a metagenomic guide through the protein structure universe! We clustered 821M structures (AFDB&ESMatlas) into 5.12M groups; revealing biome-specific groups, only 1 new fold even after AlphaFold2 re-prediction & many novel domain combos. 🧵 🌐 afesm.foldseek.com 📄 www.biorxiv.org/content/10.1...
414170 141
Reposted by @hbkgenomics.bsky.social
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 27/04/2025
It's a big collaborative effort by @jingiyeo.bsky.social @yewonhan.bsky.social @nbordin.bsky.social, Andy Lau, Shaun M. Kandathil, @hbkgenomics.bsky.social, Eli Levy Karin, @milot.bsky.social David T. Jones and Christine Orengo. Visit our #RECOMB2025 poster (719) & talk (1 pm at B145 on April 29).
0102 10
hbkgenomics.bsky.social @hbkgenomics.bsky.social · 25/04/2025
Check out Folddisco poster at #RECOMB2025!
110 1
Reposted by @hbkgenomics.bsky.social
snuchem.bsky.social @snuchem.bsky.social · 08/01/2025
SNU Profs Woon Ju Song & Martin Steinegger (Biology) developed the AI-based SeekRank algorithm to discover enzymes for cancer immunotherapy. doi.org/10.1093/nar/...
doi.org
Discovery of highly active kynureninases for cancer immunotherapy through protein language model
Abstract. Tailor-made enzymes empower a wide range of versatile applications, although searching for the desirable enzymes often requires high throughput s
076 7