CodonTransformer
A deep learning-based tool for multispecies codon optimization.
A multispecies codon optimization model that leverages attention-based deep learning to generate host-specific DNA sequences with natural-like codon usage profiles. Trained on over 1 million DNA-protein pairs from 164 organisms, it enables context-aware, high-fidelity predictions tailored to protein expression needs.
Estimated resource cost: 0.000248
Categories: Sequence Analysis & Annotation
Tags: Codon Optimization Expression
Key Capabilities
- Multispecies support spanning 164 organisms across all kingdoms of life.
- Context-aware predictions using transformer-based attention mechanisms.
- Customizable optimization with control over stochasticity, sequence matching, and output diversity.
- Supports batch inference and automatically handles ambiguous amino acids.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 8 |
| runtime_median | 8 |
| runtime_std | 6 |
| runtime_90th_percentile | 11 |
| runtime_max | 79 |
Similar Tools
- DNA Chisel Sequence Optimizer
- TIsigner Expression Optimization
- ANARCI
- ANARCII
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Review your configuration, then confirm the estimated credit cost before you run the job. Note that credit estimates are not guaranteed and runtime can vary depending on inputs and settings.
Estimated Credits: 0.000248
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.