metapredict online (v2.1)

metapredict is a deep-learning based consensus predictor of intrinsic disorder and predicted structure.

metapredict.net offers a simple online portal to some of metapredict's features but for a single sequence. In version 2.0 we have moved to the updated metapredict disorder engine.

To use paste a single sequence into the input box below and select one of plot disorder, get values, or get IDRs.

Generate a high-resolution, interactive and download-able plot of the per-residue disorder only:

Generate a high-resolution, interactive and download-able plot of the per-residue predicted AlphaFold2 structural confidence score only:

Generate a high-resolution, interactive and download-able plot of the per-residue disorder and the predicted AlphaFold2 structural confidence score:

Downloads a comma separated value file with the residue position, amino acid, and disorder score for easy plotting in your own software:

Identify the discrete IDRs and download as a .fasta file (with start end position in FASTA header):

Color my sequence (CIDER-like). CIDER is having some DNS issues, so if you want to color-code your sequences this feature is offered here:

only one sequence?

Yes - metaserve only supports single sequences at a time. If you want to analyze many sequences there are two possible options:

  1. You can download metapredict and use it locally. It's easy - click here to get started!
  2. You can upload a multiple sequence file to our Google colab notebook: click here to get started

how to cite:

If you have used metapredict please consider citing our manuscript!

Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure
Biophysical Journal, 120(20), 4312–4319.
Emenecker, R. J., Griffith, D., & Holehouse, A. S. (2021). Link to paper
In addition, we have a paper on bioRxiv that details changes made for the V2 update:

Metapredict V2: An update to metapredict, a fast, accurate, and easy-to-use predictor of consensus disorder and structure
BioRxiv 2022.06.06.494887
Emenecker, R. J., Griffith, D., & Holehouse, A. S. (2022). Link to paper
As of March 15th 2022 the default disorder predictor for metapredict is has updated to 'version 2' a more accurate predictor that incorporates information from AlphaFold2. For the original metapredict implementation please use the 'legacy' version which is still available via the metapredict Python package.

about

metapredict was developed by Ryan Emenecker, Dan Griffith, and Alex Holehouse in the Holehouse lab.
Last updated August 27th 2022.

changelog (metapredict.net)

August 27th 2022

March 15th 2022