Use ESMFold

Official Neurosnap webserver for accessing ESMFold online.

Protein Folding Molecular Docking

Overview

Bulk protein structure prediction model that only requires a single amino acid sequence as input. Much faster than AlphaFold2 since no MSAs are required (but slightly less accurate too).

Neurosnap Overview

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

  • Includes 3D interactive visualizations of all your folded protein.
  • Includes interactive visualizations for pLDDT and PAE metrics as well as downloads.
  • Supports monomers and complexes.
  • Supports different recycling numbers.

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.

Statistic Value
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API Request

Access ESMFold 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.

Video Tutorial

The following youtube video describes how to use ESMFold 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.

Configuration & Options

Service Inputs

These are the amino acid sequences of the structures you want to predict. Use ":" to specify inter-protein chain-breaks for modeling complexes (supports homo- and hetro-oligomers). Gaps within sequences denoted with either "-" or "." are automatically removed. Trailing stop codons are also automatically removed, but a premature stop codon is not allowed.

Advanced Settings

Select the number of recycles you want to use. Increasing recycling steps tends to produce more accurate predictions but also increases prediction time. For smaller proteins and monomers we recommend 6 recycles, for bigger proteins (greater than 500 AA) we recommend at least 15 recycles.

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.