AlphaBind Antibody-Antigen Affinity Prediction
Rank antibody candidates with pretrained AlphaBind, optionally fine-tuned on target-specific measurements.
Overview
AlphaBind ranks antibody candidates against a shared antigen using its public pretrained affinity model. An optional CSV of target-specific measurements enables supervised fine-tuning before prediction. Pretrained-only scores are best treated as comparative screening estimates rather than calibrated affinities.
Run AlphaBind Antibody-Antigen Affinity Prediction on Neurosnap
The AlphaBind Antibody-Antigen Affinity Prediction online webserver allows anybody with a Neurosnap account to run and access AlphaBind Antibody-Antigen Affinity Prediction, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Runs the published AlphaBind checkpoint directly when no fine-tuning dataset is provided.
- Optionally fine-tunes the checkpoint on uploaded target-specific affinity or assay measurements.
- Scores up to 64 antibody candidates against the same protein antigen.
- Supports log10(KD in nM) labels or custom lower-is-better assay scores without conflating the two scales.
- Returns ranked predictions and, for fine-tuned jobs, training metrics and the resulting model.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access AlphaBind Antibody-Antigen Affinity Prediction using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using AlphaBind Antibody-Antigen Affinity Prediction in publications or research outputs.
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Agarwal AA, Harrang J, Noble D, McGowan KL, Lange AW, Engelhart E, et al. AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity. mAbs. 2025;17(1):2534626. https://doi.org/10.1080/19420862.2025.2534626 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |