Use NeuroFold

Official Neurosnap webserver for accessing NeuroFold online.

Overview

The most accurate approach for in silico enzyme optimization. NeuroFold makes it trivial to optimize multiple enzyme properties, simultaneously.

Neurosnap Overview

The NeuroFold online webserver allows anybody with a Neurosnap account to run and access NeuroFold, 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.

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Features

  • Utilizes our proprietary NeuroFold model to optimize enzymes.
  • 40-fold increase in Spearman rank correlation when compared to Meta's ESM-1v model.
  • Can optimize the thermostability, pH stability, and reaction rate of a target enzyme.
  • Output sequences tend to be evolutionarily distinct and diverse.
  • Typical sequence identity to wild type is around 49-56%.
  • When tested on β-lactamase, NeuroFold was found to have a 100% experimental success rate.
  • Currently only supports monomeric enzymes that do not form complex interactions with nucleotides.

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 NeuroFold 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.

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.

Configuration & Options

Important Information

Accessing the NeuroFold model requires you to acquire the NeuroFold license. If you already have a Neurosnap account and are interested in getting a license, visit this page for more info. For more information on NeuroFold, visit our NeuroFold information page.

Service Inputs

Reference / template protein structure. NeuroFold requires a template protein to bias the optimization process into generating proteins with desired properties. The reference enzyme should be as similar to the desired fully optimized enzyme as possible. The reference enzyme should at the very least be a functional enzyme. Do not worry if the the reference protein does not have optimal properties, NeuroFold will aim to optimize specified properties. Maximum length for reference is 1500 amino acids.

Specify whether you want to increase or decrease deltaG (ΔG) when compared to the reference sequence. Specifying "decrease" will create proteins that have a lower predicted ΔG compared to the reference sequence. Specifying "increase" will create proteins with a higher predicted ΔG compared to the reference sequence. A lower ΔG KCal/mol corresponds to a more stable protein structure. ΔG represents the change in free energy during the folding process of the protein. When ΔG is negative, the process is spontaneous, and the lower the value (more negative), the more favorable and stable the folded protein structure is. Conversely, a higher ΔG (less negative or positive) indicates a less stable structure, as it is less thermodynamically favorable.

Specify whether you want to increase or decrease solubility when compared to the reference sequence. Specifying "decrease" will create proteins that have a lower predicted solubility compared to the reference sequence. Specifying "increase" will create proteins with a higher predicted solubility compared to the reference sequence.

Specify the desired optimal functioning pH for the given enzyme.

Ready to submit your job?

Once you're done just hit the submit button below and let us do the rest.

To submit a job please login or register an account.