ProtNLM
Predict protein annotations from sequence using ProtNLM.
Predict protein names and annotations from sequence alone using Attention Networks.
Estimated resource cost: 0.000248
Categories: Sequence Analysis & Annotation
Tags: Proteins
Key Capabilities
- Predict name and function annotations of amino acids sequences.
- ProtNLM has been evaluated and vetted by expert curators of the Pfam and UniProt databases.
- Uses Attention Network, ProtNLM previously annotated ~49 million uncharacterized proteins in partnership with UniProt.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 206 |
| runtime_median | 195 |
| runtime_std | 88 |
| runtime_90th_percentile | 297 |
| runtime_max | 644 |
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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: 0.000248
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.