PAMmla Evolve
Evolve SpCas9 PAM preference using evolutionary algorithms.
PAMmla Evolve uses an evolutionary algorithm to optimize SpCas9 PAM preference starting from random or custom amino acid sequences.
Estimated resource cost: 0.000062
Categories: Protein Design
Key Capabilities
- Optimizes SpCas9 PAM preference using evolutionary algorithms.
- Supports random or custom starting variants.
- Allows fine-tuning of mutation rates, population size, and selection criteria.
- Can maximize or minimize affinity for specific PAMs.
- Can maximize selectivity for specific PAMs over others.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 17 |
| runtime_median | 17 |
| runtime_std | 0 |
| runtime_90th_percentile | 17 |
| runtime_max | 17 |
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Ready to submit your job?
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: 0.000062
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.