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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Antibody & Biologics
  3. AbLang2

Antibody & Biologics · Oxford Protein Informatics Group

AbLang2

Antibody-specific language model trained on the Observed Antibody Space.

Commercial use permittedThe BSD-3-Clause licence allows use in commercial research and products.BSD-3-Clause
Availability
On demand
Typical latency
1.2s
Credits per run
~14
Compute tier
A · Fast

1–30s

Runs on On-demand GPU

Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.

Run this model

AbLang2

Single-letter amino acid code. Whitespace and FASTA headers are stripped automatically.

Single-letter amino acid code. Whitespace and FASTA headers are stripped automatically.

Needs heavy chain

About this model

General protein language models underperform on antibodies because the immunoglobulin fold dominates the signal. AbLang2 is trained on OAS and handles paired heavy/light chains, which makes it the right embedder for CDR design and fitness prediction.

Standardized I/O contract

Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.

Inputs

  • heavysequence · required

    Heavy chain

  • lightsequence

    Light chain

  • modeselect

    What to compute

Outputs

  • embeddingvector

    Paired-chain antibody representation.

Specification

Hardware
1× A100 16GB
GPU memory
8 GB
Version
2.0
Licence
BSD-3-Clause
Backend
On demandOn-demand GPU
MCP server
mcp-antibody-server

Tasks

sequence embeddingcdr design
antibodyprotein-lmoas