Ahmet Sarigun

Ahmet Sarigun

@asarigun.bsky.social

curious explorer - https://asarigun.github.io/

30 followers106 following8 posts

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I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

Ahmet Sarigun reposted

🎉 Happy to share our new work SpaCEy, now available🧬 SpaCEy is an explainable method for learning clinically relevant spatial tissue organization directly from spatial omics data—without predefined cell types or regions. 📄 Paper: www.biorxiv.org/content/10.6... 💻 Code repo: github.com/saezlab/SpaCEy

biorxiv.orgbiorxiv.org
Saez-Rodriguez Group@saezlab.bsky.social

See 👇 our new manuscript introducing SpaCEy, an explainable method for predicting clinical outcomes from spatial omics data 🧬 📄 Paper: www.biorxiv.org/content/10.6... 💻 Code repo: github.com/saezlab/SpaCEy

Ahmet Sarigun reposted

With the release of Boltz 2, is there already a review comparing the efficiency of different (new) docking tools? (I’ve already tried Pocket Vina, which is actually quite good for high-throughput)

Ahmet Sarigun reposted

🚀 GPU-accelerated docking to P2Rank-predicted pockets

Ahmet Sarigun@asarigun.bsky.social

I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

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We benchmarked PocketVina across four widely used datasets (PDBbind, PoseBusters, Astex, DockGen), and introduce TargetDock-AI — a large-scale benchmark of >500K protein–ligand pairs with activity labels from PubChem. (5/n)

I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

View full thread

PocketVina offers a robust alternative: • Identifies multiple pocket centers using P2Rank • Performs GPU-accelerated docking with QuickVina 2-GPU 2.1 • Completes docking + binding affinity prediction in under 1.5 seconds, with no model training (3/n)

I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n)

Ahmet Sarigun reposted

Join us to connect with the vibrant #singlecell community. 📢Register for the #ISCO'25 Conference "Innovations in #SingleCell #OMICS" in Berlin! 🗓️ 12-13 May 2025 🎤 Fantastic Keynote and Invited Speakers 🫵🏿 Many slots for talks: submit your abstract 🔗http://isco-conference.eu Please spread the word!

Ahmet Sarigun reposted

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