NetSolP-1.0
Accurately predict protein solubility and expression / usability from amino acid sequence.
This groundbreaking model, powered by deep learning transformers, predicts protein solubility and expression / usability for purification, directly from protein sequences. By eliminating bias in existing datasets and achieving state-of-the-art performance, NetSolP enhances the success rate of wet-lab experiments, offering scientists an invaluable tool for advancing their research and industrial endeavors in protein expression and usability.
Estimated resource cost: 0.000496
Categories: Protein Design
Tags: Developability Expression Proteins Solubility
Key Capabilities
- Advanced deep learning: NetSolP utilizes cutting-edge transformers for precise protein solubility and usability prediction.
- Sequence-driven predictions: Predicts solubility and usability directly from protein sequences, eliminating the need for extensive lab work.
- Robust extrapolation: Demonstrates strong performance across diverse datasets, ensuring versatility in various experimental contexts.
- Unbiased data curation: Meticulously curated datasets with strict sequence-identity partitioning minimize bias, enhancing prediction reliability.
- Research and production optimization: Empowers scientists to boost success rates in large-scale studies and industrial protein production.
- State-of-the-art accuracy: Sets a new performance standard, making it an essential tool for researchers and industry experts.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 126 |
| runtime_median | 22 |
| runtime_std | 616 |
| runtime_90th_percentile | 171 |
| runtime_max | 10355 |
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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: 0.000496
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.