DELPHI Antibody Developability Prediction
Predict antibody PSR and SEC developability from paired variable-domain sequences.
Overview
DELPHI predicts whether paired antibodies pass polyreactivity (PSR) and monomer-purity (SEC) filters using released neural-network models. Compare pass probabilities across candidates to prioritize experimental developability screening.
Run DELPHI Antibody Developability Prediction on Neurosnap
The DELPHI Antibody Developability Prediction online webserver allows anybody with a Neurosnap account to run and access DELPHI Antibody Developability 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
- Predicts PSR, SEC, or both for up to 1,000 paired antibodies per job.
- Provides Transformer and CNN predictors with antibody language-model embeddings, plus a One-Hot Transformer.
- Uses released model decision thresholds, with 0.5 as the fallback when no threshold is stored.
- Exports per-antibody predictions and assay summaries as CSV files.
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 DELPHI Antibody Developability 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 DELPHI Antibody Developability Prediction in publications or research outputs.
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Institute for Protein Innovation. DELPHI: Deep End-to-end Learning Platform for antibody Developability with High Interpretability. https://github.com/proteininnovation/delphi. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |