SaProt
SaProt integrates sequence and structure information through a structure-aware vocabulary to predict protein properties accurately.
SaProt is an innovative structure-aware protein language model designed to bridge the gap between sequence and structure information for enhanced protein function prediction. By utilizing a novel structure-aware vocabulary that integrates residue and geometric features, SaProt has been trained on over 40 million protein sequences and structures. The model demonstrates exceptional performance across 10 downstream tasks, surpassing traditional models in both protein-level and residue-level predictions. SaProt's cutting-edge architecture enables it to process and understand complex protein structures, paving the way for groundbreaking applications in computational biology.
Estimated resource cost: 0.0002945
Categories: Protein Design
Tags: Binding Site Prediction Developability Proteins Stability
Key Capabilities
- Combines sequence and structural information into a unified structure-aware vocabulary for enhanced protein analysis.
- Supports accurate prediction of various protein properties, including stability, binding site locations, thermostability, and metal ion binding.
- Trained on a large dataset of over 40 million protein structures and sequences to capture diverse structural features.
- Excels in both protein-level and residue-level prediction tasks, outperforming conventional models.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 16 |
| runtime_median | 15 |
| runtime_std | 8 |
| runtime_90th_percentile | 21 |
| runtime_max | 182 |
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Estimated Credits: 0.0002945
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.