CAR-Toner
CAR-Toner is an AI tool for rapid prediction of CAR-T tonic signaling by calculating Positively Charged Patch (PCP) scores.
CAR-Toner is an AI-driven tool for predicting Chimeric Antigen Receptor (CAR) tonic signaling. It addresses the critical role of tonic signaling in CAR-T cell fitness, where imbalanced signals can lead to poor persistence or exhaustion. By calculating a 'Positively Charged Patch' (PCP) score for the CAR's antigen-binding domain, CAR-Toner quantifies the propensity for CAR clustering and tonic signal induction. Built upon a fine-tuned ESM2 protein language model, it overcomes the slow, manual, and server-dependent limitations of previous methods. The tool provides rapid PCP score calculation for single sequences or large batches.
Estimated resource cost: 0.000248
Categories: Sequence Analysis & Annotation
Tags: Antibodies Proteins
Key Capabilities
- AI-driven prediction of Positively Charged Patch (PCP) scores to quantify CAR tonic signaling.
- Streamlined batch processing for large-scale analysis of scFv, VHH, VNAR, and VLR sequences.
- Analysis of PCP scores for understanding CAR tonic signaling.
- Powered by a fine-tuned ESM2 protein language model for high accuracy (R=0.94).
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 5 |
| runtime_median | 5 |
| runtime_std | 3 |
| runtime_90th_percentile | 9 |
| runtime_max | 13 |
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Estimated Credits: 0.000248
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.