Pinned
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...
Reposted
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
🌐 evedesign.bio
October 22, 2025 at 2:30 PM
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
🌐 evedesign.bio
Reposted
Protein Structure Informed Bacteriophage Genome Annotation with Phold https://www.biorxiv.org/content/10.1101/2025.08.05.668817v1
August 7, 2025 at 3:47 AM
Protein Structure Informed Bacteriophage Genome Annotation with Phold https://www.biorxiv.org/content/10.1101/2025.08.05.668817v1
Reposted
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...
- 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...
July 22, 2025 at 6:11 PM
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...
- 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...
Reposted
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
📄 www.biorxiv.org/content/10.1...
Also check out poster:
B-50 lolalign Sensitive structural alignments by Lasse
B-123 BFVD by Rachel
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...
www.biorxiv.org
July 22, 2025 at 9:10 AM
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
📄 www.biorxiv.org/content/10.1...
Also check out poster:
B-50 lolalign Sensitive structural alignments by Lasse
B-123 BFVD by Rachel
Reposted
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
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
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...
www.biorxiv.org
July 21, 2025 at 11:56 AM
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
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
Reposted
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/...
📄 academic.oup.com/nar/article/...
July 21, 2025 at 9:29 AM
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/...
📄 academic.oup.com/nar/article/...
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...
July 7, 2025 at 8:57 AM
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...
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
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
July 7, 2025 at 8:21 AM
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
Reposted
Structural motif search across the protein-universe with Folddisco https://www.biorxiv.org/content/10.1101/2025.07.06.663357v1
July 7, 2025 at 3:48 AM
Structural motif search across the protein-universe with Folddisco https://www.biorxiv.org/content/10.1101/2025.07.06.663357v1
Reposted
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...
🌐 afesm.foldseek.com
Read more about the work in the skeetorial
🦋 bsky.app/profile/mart...
or our preprint
📄 www.biorxiv.org/content/10.1...
May 15, 2025 at 2:03 PM
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...
🌐 afesm.foldseek.com
Read more about the work in the skeetorial
🦋 bsky.app/profile/mart...
or our preprint
📄 www.biorxiv.org/content/10.1...
Reposted
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
April 27, 2025 at 12:13 AM
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
Reposted
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
April 27, 2025 at 12:13 AM
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
Reposted
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...
🌐 afesm.foldseek.com
📄 www.biorxiv.org/content/10.1...
April 27, 2025 at 12:13 AM
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...
🌐 afesm.foldseek.com
📄 www.biorxiv.org/content/10.1...
Reposted
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).
Visit our #RECOMB2025 poster (719) & talk (1 pm at B145 on April 29).
April 27, 2025 at 12:13 AM
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).
Visit our #RECOMB2025 poster (719) & talk (1 pm at B145 on April 29).
Check out Folddisco poster at #RECOMB2025!
Visit our posters at #RECOMB2025 for:
Structural: MSAs, Virus DB, Core Genes, Motif Discovery, Multimer Clustering & Search, pLM Foldseek, Environmental analysis
Metagenomics: Classification & Metabuli App
GPU-based & RNA search, Proteome clustering, Novel Ribozyme discovery
& get Marv stickers!
Structural: MSAs, Virus DB, Core Genes, Motif Discovery, Multimer Clustering & Search, pLM Foldseek, Environmental analysis
Metagenomics: Classification & Metabuli App
GPU-based & RNA search, Proteome clustering, Novel Ribozyme discovery
& get Marv stickers!
April 25, 2025 at 7:54 AM
Check out Folddisco poster at #RECOMB2025!
Reposted
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/...
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
doi.org
January 8, 2025 at 5:58 AM
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/...