Use NetSolP-1.0
Official Neurosnap webserver for accessing NetSolP-1.0 online.
Overview
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.
Neurosnap Overview
The NetSolP-1.0 online webserver allows anybody with a Neurosnap account to run and access NetSolP-1.0, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong terms of service and privacy policy.
View PaperFeatures
- 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.