BioMap Inc.

BioMap is a pioneer in life Science AI Foundation Models

[BioMap Inc. @BiomapI]

📩Contact Us
Have an idea, or a question? Connect with us at: [email protected]

#BioMap #VirtualCells #AIinLifeScience #DrugDiscovery #Bioinformatics

[BioMap Inc. @BiomapI]

BioMap Research Wins First Place at Arc’s Virtual Cell Challenge 2025
We are proud to announce that BioMap Research took first place at Arc’s Virtual Cell Challenge 2025 with our independently developed model, xTrimoSCPerturb, outperforming over 1,200 teams from 114 countries.

[BioMap Inc. @BiomapI]

What once required years of trial-and-error can now be designed, evaluated, and optimized computationally—turning target discovery into an iterative, scalable engineering problem.

[BioMap Inc. @BiomapI]

As computational antibody design moves toward the clinic, rigorous epitope validation isn’t optional. It’s the standard.

👉Read the full paper on bioRxiv: https://t.co/uaNeC0BTt7

#AntibodyDesign #DrugDiscovery #Oncology #Nanobodies #ProteinEngineering

[BioMap Inc. @BiomapI]

De novo antibody design is only as good as its validation — especially when the target matters therapeutically.
LGR5 is a critical stem cell marker driving tumor growth in colorectal, gastric, and ovarian cancers.

[BioMap Inc. @BiomapI]

The result: epitope-specific nanobodies with nanomolar affinity and Tm >65° C - designed computationally, validated structurally, ready for therapeutic development.

[BioMap Inc. @BiomapI]

We also develop a novel in-context learning (ICL) paradigm for protein optimization using its reasoning. It offers a scalable framework for protein modeling/optimization. Paper link：https://t.co/UeLqHzJ0xC

[BioMap Inc. @BiomapI]

We present ProteinReasoner, a multi-modal protein language model using chain-of-thought (CoT) with evolutionary profiles to link structure/sequence, boosts zero-shot performance in structure/folding/fitness prediction tasks, beating models like ESM3/DPLM-2.

[BioMap Inc. @BiomapI]

🧬 NEW RESEARCH: We systematically benchmarked 4 leading inverse folding models for antibody CDR sequence design—critical for advancing antibody engineering and the de novo design of therapeutic mAbs.

🔬 Read the full study here: https://t.co/RJEfCMzaqA

[BioMap Inc. @BiomapI]

Dr. Le Song, our CTO, delivered an impressive discussion at Generative AI and Biology Workshop @NeurIPSConf! Kudos to the @genbio_workshop for hosting the discussion! #GenerativeAI #Biology #NeurIPS2023 #BioMap