Antibody discovery workflow, streamlined: CDR annotation, germline calls, and liability flags, clustering by sequence similarity, and developability and activity scoring, all in one dataset. Sign up link in the comments!
New on OpenProtein.AI: esmfold2, esmfold2-fast, esmc-300m/600m/6b, esm-if1, and Protenix-v2, plus full multichain support across all workflows.
Sign up: openprotein.ai/sign-up/
De novo binder design is now available on our GUI! Run full binder workflows with integrated backbone generation (RFdiffusion, BoltzGen), sequence design (PoET-2, ProteinMPNN), and structure validation, bringing end-to-end binder design into a single interactive workflow.
We're at @PEGSboston next week. Find us at Booth 25!
Stop by to see what we're building and how we can support your work. See you there!
#pegsboston #ProteinEngineering #Biologics
Read the full announcement here: openprotein.ai/openprotein-a…
6/6
PoET-2 already predicts protein function from sequence at state-of-the-art accuracy. NODES will extend these capabilities to the structural dynamics governing binding, allostery, and stability.
Better therapeutics. Faster biological threat response. 4/6
Because proteins aren't frozen objects. They're flexible molecular machines in constant motion. Understanding these dynamics is the secret to understanding function. 3/6
Deep learning revolutionized protein structure prediction, yet it has not solved protein function. >99% of known proteins have no reliable functional annotation. Why? 🤔 2/6
We’ve been selected as a performer on DARPA's NODES program to extend our state-of-the-art PoET-2 foundation model to capture structural dynamics and predict protein function in fundamentally new ways. 1/6
OpenProtein.AI retweeted
Bringing AI-driven protein-design tools to biologists everywhere! The future of protein engineering is now open-access. @MIT OpenProtein.AI has launched a no-code platform that brings elite AI protein-design tools to biologists everywhere. From predicting structures to engineering new therapeutics, the barrier to entry for AI-driven drug discovery has officially vanished. news.mit.edu/2026/bringing-a…
#Biotech #AI #ProteinDesign #SyntheticBiology #DrugDiscovery #Bioinformatics #ScienceTwitter #Innovation #MachineLearning #StructuralBiology #STEM #MIT #OpenProtein #Genomics #MolecularBiology
OpenProtein.AI retweeted
OpenProtein.AI is giving scientists the best tools to develop new treatments faster. news.mit.edu/2026/bringing-a…
We’re excited to announce our expanded partnership with Boehringer Ingelheim. Together, we are building the future of AI‑driven antibody discovery and optimization.
openprotein.ai/strategic-par…
👉Access these tools and more now at OpenProtein.AI: openprotein.ai/early-access-…
Design protein binders in minutes, not months.
New on OpenProtein.AI
→ Improved protein design GUI & refolding metrics for candidate filtering
→ New structure design models (RFdiffusion, BoltzGen)
Nanobody + miniprotein design walkthroughs now live! Links in thread
Boltz-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.
openprotein.ai/early-access-…