BioGeometry

Reshaping the world, one protein at a time

[BioGeometry @BioGeometryAI]

🏆 Congrats to Dr. Jian Tang @tangjianpku on winning the 2026 ACM Test of Time Award!
"LINE: Large-scale Information Network Embedding" (WWW 2015) helped shape the field. Still a classic 10 years on.
Kudos to co-authors Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan & Qiaozhu Mei 👏

[BioGeometry @BioGeometryAI]

Congratulations to the @abscibio team on the release of Origin-1！
Exciting to see the global AI–protein community pushing the boundaries of what’s possible together. We’re excited to be part of this moment！Looking forward to more progress ahead.🚀

[Amir Shanehsazzadeh @amirshanehsaz]

We @abscibio are excited to share Origin-1, our platform for de novo antibody design! We select "zero-prior" epitopes without guidance from or the availability of solved protein-protein complex structures and, using fewer than 100 designs per target, achieve success against four targets: COL6A3, AZGP1, CHI3L2, and IL36RA.

We validate binding, developability, and function via multiple orthogonal assays and confirm atomic accuracy with Cryo-EM for two targets.

We share detailed methods, including on the models underlying Origin-1, and release our data as a resource for the community.
📄 Read the preprint: https://t.co/bGN6nffuri
📊 Access our data: https://t.co/F4cZvzFV1Z

[BioGeometry @BioGeometryAI]

What if antibody discovery didn’t start in a lab — but in silico?
With GeoFlow V3, we bring “epitope-in, antibody-out” design to reality.
Test ≤50 designs and get a 15.5% hit rate within weeks.

🔗 Full article: https://t.co/mQWkresxoA

[BioGeometry @BioGeometryAI]

Beyond antibodies.

The same all-atom framework extends to all proteins — from peptide binders to novel enzymes.
Biotech/pharma working on challenging epitopes or hard targets — let’s design and validate together.

Contact: [email protected]
#AIxBio #ProteinDesign #AntibodyDesign

[BioGeometry @BioGeometryAI]

🚀 Introducing 𝗚𝗲𝗼𝗙𝗹𝗼𝘄 𝗩𝟯 — our all-atom protein foundation model for "epitope-to-antibody" design.

From idea → verified binders in <3 weeks.
Test ≤50 designs and get a 15.5% hit rate.

Free demo: https://t.co/VzSl1nEDna
Technical report: https://t.co/MpBlyKtVgU

[BioGeometry @BioGeometryAI]

Under the hood: an atomic diffusion model that
- Unifies structure prediction and design
- Improves high-DockQ rate by 45% vs. GeoFlow V2
- Supports precise epitope conditioning and structural cues
- Discriminates binders from non-binders (via ipTM)

[Jian Tang @tangjianpku]

🔥(1/5) Introducing GeoFlow V2: A unified atomic diffusion model for protein design
-Unifies structure prediction & de novo design w/ versatile constraint support
-SOTA results in Ab:Ag folding & epitope-specific Ab design

Try it and read our report at https://t.co/lgmGp546Tz!

[Nature Reviews Methods Primers @MethodsPrimers]

This week's PrimeView is inspired by the Primer on computational #ProteinDesign out yesterday. Using current knowledge on the physics and chemistry of molecules, machine learning tools can be used to unlock doors to new worlds of proteins.
📖👉:https://t.co/S9R4iHGExD

[BioGeometry @BioGeometryAI]

Our GeoBiologics platform boosted the 8G3 antibody’s neutralizing activity by 1000-1500x against JN.1. The study is now out in
@PNASNews
, showing AI’s transformative role in antibody engineering. #AI4Science #drugdiscovery [Study]🔗https://t.co/Z73OMJRCr9

[BioGeometry @BioGeometryAI]

@talaldotpdb @richardwshuai Impressed by the results achieved in just 5-10 steps! We definitely need to give more attention to sidechain structure—they play a crucial role in binding affinity.

[BioGeometry @BioGeometryAI]

@ScienceMagazine Impressive cover! Programmable proteins could have a wide range of applications in the future.

[BioGeometry @BioGeometryAI]

Connect your biologics development to AI with GeoBiologics!

🔬 Harness cutting-edge AI for de novo protein design
🎯 Achieve multi-objective optimization w/ ease
🛠️ Customize solutions to fit your needs
✨ Enjoy an intuitive user experience

Try now at https://t.co/diHpm2ypCY

[BioGeometry @BioGeometryAI]

Excited to deepen our strategic cooperation with @Sino_Biological! Combining our protein foundation model GeoFlow with Sino Biological's protein expression and wet lab platform, we aim to set new standards in protein R&D. Learn more at https://t.co/UJSXvZZgxx

[BioGeometry @BioGeometryAI]

💡Introducing GeoFlow: cutting-edge protein generative model with:
1️⃣SOTA Ab-Ag docking success rates: ≈ AF3, 2x AF2
2️⃣Exceptional design capabilities: GeoFlow generated mAbs w/ novel HCDR3 that have up to 3x binding to the same epitope
🔗Try now at https://t.co/zjkCSf1TSN

[BioGeometry @BioGeometryAI]

📢After a $10M angel round, we're excited to announce our latest funding round led by Jiangmen Ventures. Funds will accelerate our work in GenAI for protein design w/ applications biomedicine and synthetic biology. 🚀

Stay tuned for more innovations! 🌟

https://t.co/CcQrbw5mDS

[Jian Tang @tangjianpku]

Will be at #NeurIPS2023 next week. Happy to meet and chat together about #AIforDrugDiscovery, #GeometricDeepLearning, and #GenerativeModels.