Use RoseTTAFold2
Official Neurosnap webserver for accessing RoseTTAFold2 online.
Overview
RoseTTAFold2 is a highly accurate and new three-track neural network made by The Baker Lab. Not only is it more accurate than AlphaFold2 for monomer prediction but it is also substantially faster. AlphaFold2 is still slightly better for complex prediction.
Neurosnap Overview
The RoseTTAFold2 online webserver allows anybody with a Neurosnap account to run and access RoseTTAFold2, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Accurately predict protein and multimer / complex structures.
- Faster than AlphaFold2 and more accurate for monomers.
- Rapid solution of x-ray crystallography and cryo-electron microscopy structure modeling.
- Includes standard structure prediction metrics such as pLDDT and PAE.
- Added support for ipSAE, LIS, pDockQ2, and pDockQ scores.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access RoseTTAFold2 using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Video Tutorial
The following youtube video describes how to use RoseTTAFold2 using Neurosnap's online webserver. If you have any questions or want to suggest improvements for future tutorials please contact us here.
Job Note
Provide a name or description for your job to help you organize and track its results. This input is solely for organizational purposes and does not impact the outcome of the job.
Inputs & Configuration
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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.
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