openprotein.bsky.social @openprotein.bsky.social · 26/08/2026Sign up now: openprotein.ai/sign-up/openprotein.aiSign up now | OpenProtein.AIJoin the revolution in protein research with early access to our cutting-edge Open Protein AI platform. Sign up now to explore the future of protein analysis and discovery. 000
openprotein.bsky.social @openprotein.bsky.social · 26/08/2026Antibody discovery workflow, streamlined: CDR annotation, germline calls, and liability flags, clustering by sequence similarity, and developability and activity scoring, all in one dataset view. Sign up link in the comments! 121
openprotein.bsky.social @openprotein.bsky.social · 23/06/2026Sign up now: www.openprotein.ai/sign-up/inde...openprotein.aiSign up now | OpenProtein.AIJoin the revolution in protein research with early access to our cutting-edge Open Protein AI platform. Sign up now to explore the future of protein analysis and discovery. 000
openprotein.bsky.social @openprotein.bsky.social · 23/06/2026New on OpenProtein.AI: esmfold2, esmfold2-fast, esmc-300m/600m/6b, esm-if1, and Protenix-v2, plus full multichain support across all workflows. Sign up link in the comments! 121
openprotein.bsky.social @openprotein.bsky.social · 31/03/2026We’re excited to announce our expanded partnership with Boehringer Ingelheim. Together, we are building the future of AI‑driven antibody discovery and optimization. www.openprotein.ai/strategic-partnership-with-boehringer-ingelheim 011
openprotein.bsky.social @openprotein.bsky.social · 10/02/2026👉Access these tools and more now at OpenProtein.AI www.openprotein.ai/early-access...openprotein.aiSign up for early access | OpenProtein.AIJoin the revolution in protein research with early access to our cutting-edge Open Protein AI platform. Sign up now to explore the future of protein analysis and discovery. 000
openprotein.bsky.social @openprotein.bsky.social · 10/02/2026🧬Miniprotein design walkthrough with RFdiffusion: docs.openprotein.ai/walkthroughs...docs.openprotein.aiProtein-protein binder design with RFdiffusion — OpenProtein-Docs documentation 100
openprotein.bsky.social @openprotein.bsky.social · 10/02/2026🧬Nanobody design walkthrough with BoltzGen: docs.openprotein.ai/walkthroughs...docs.openprotein.aiNanobody binder design with BoltzGen — OpenProtein-Docs documentation 100
openprotein.bsky.social @openprotein.bsky.social · 10/02/2026New on OpenProtein.AI: → Improved protein design GUI & refolding metrics for candidate filtering → New structure design models (RFdiffusion, BoltzGen) Nanobody and miniprotein design walkthroughs now live! Links in thread. 120
openprotein.bsky.social @openprotein.bsky.social · 25/07/2025Boltz-1 & Boltz-2 now live via GUI & APIs! Predict protein, protein–RNA/DNA/ligand structures with confidence scores & binding affinity metrics for virtual screening. Compare finetuned models in the new overview page to find your best performer fast. www.openprotein.ai/early-access... 072
openprotein.bsky.social @openprotein.bsky.social · 25/06/2025Product update: Indel Analysis lets you score insertions/deletions across your sequence using PoET-2. You can now also compare multiple 3D structures in Mol* to evaluate design alternatives. Sign up now: www.openprotein.ai/early-access... 011
Reposted by @openprotein.bsky.socialTristan Bepler @tbepler.bsky.social · 20/06/2025Why does no one in AI protein engineering work on indels? We’re solving this at OpenProtein.AI. Check out our upcoming indel design tool! 🤩 1/4 @openprotein.bsky.social 141
openprotein.bsky.social @openprotein.bsky.social · 13/05/2025Product update: PoET-2 now supports structure inputs for enhanced prediction and design via Python APIs. Check out our new inverse folding tutorial to see it in action. 🔗 docs.openprotein.ai/walkthroughs... Sign up for OpenProtein.AI: www.openprotein.ai/early-access...docs.openprotein.aiInverse Folding with PoET-2 for Generation of Novel Luciferases — OpenProtein-Docs documentation 011
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025This is just the beginning of what's possible with AI that truly understands the molecular machinery of life. Join us in transforming protein engineering: www.openprotein.ai/early-access... 000
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025Ready to try it yourself? PoET-2 is available now on OpenProtein.AI: - Free academic access - Python client & APIs - Web interface 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025Want to see the technical details? Read our white paper: www.openprotein.ai/a-multimodal-foundation-model-for-controllable-protein-generation-and-representation-learning 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025The implications are enormous for: - Drug discovery - Enzyme engineering - Protein therapeutics - And much more 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025This means PoET-2 doesn't just memorize - it learns fundamental principles of how proteins work, enabling accurate zero-shot variant effect prediction and highly data efficient property learning. 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025How does it work? PoET-2's tiered attention mechanism processes large protein families with order equivariance and long context lengths, letting it learn from evolutionary examples at inference time. 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025In real-world testing, PoET-2 can: - Design proteins with multiple simultaneous constraints - Learn from just dozens of examples - Make accurate predictions for challenging proteins - Run fast inference on standard hardware 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025PoET-2 introduces a powerful prompt grammar for controlled protein generation - enabling everything from inverse folding to motif scaffolding in a single model. 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025The results are remarkable: - 500x more compute efficient than contemporary models - 30x less experimental data needed for protein optimization - Improved on structure understanding - Handles insertions and deletions naturally 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025Key breakthrough: PoET-2's multimodal architecture learns to reason about sequences, structures, and evolutionary relationships simultaneously through in-context learning. 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025Most protein language models rely on massive scale - up to 100B parameters - to memorize sequences from nature. PoET-2 takes a fundamentally different approach, learning the grammar of protein evolution. 100
openprotein.bsky.social @openprotein.bsky.social · 11/02/2025🧬 Announcing PoET-2: A breakthrough protein language model that achieves trillion-parameter performance with just 182M parameters, transforming our ability to understand proteins. 142
