metapredict online (v3.0)

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.

[NEWS] We're excited to anounce the release of metapredict V3 (Nov 5th 2024).

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:

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

i want to predict conformational properties more!

Great! Head on over to our ALBATROSS Google Colab notebook for various options!

how to cite:

If you have used metapredict please consider citing our V3 manuscript!

Metapredict enables accurate disorder prediction across the Tree of Life
bioRxiv.
Lotthammer, J.M, Hernández-García, J. Griffith, D. Weijers, D., Holehouse, A.S. *, Emenecker, R.J.*

If you used previous versions, please consider citing the original 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

If you used predicted ensemble average dimensions, please consider citing the ALBATROSS manuscript

Direct prediction of intrinsically disordered protein conformational properties from sequence
Lotthammer, J. M.*, Ginell, G. M.*, Griffith, D.*, Emenecker, R. J. & Holehouse, A. S. (2024)
Nat. Methods 21, 465–476 (2024). Link to paper

NB: As of November 5th 2024, the default disorder predictor for metapredict is has updated to 'version 3', our most accurate predictr to date. Previous versions are still supported in the Python package.

about

metapredict was developed by Ryan Emenecker, Jeff Lotthammer, Dan Griffith, Alex Holehouse in the Holehouse lab.
Last updated November 5th 2024.

changelog (metapredict.net)

November 5th 2024

Metapredict V3 is live!!

Oct 22 2023

(V2.4 update) Improved robustness for input parsing, add AFRC Rg and Re for each IDR, added length for each IDR

May 31st 2023

Updated the ALBATROSS prediction networks to version 2 (as per V3 preprint)

May 8th 2023

Added predicted radius of gyration and end-to-end distance from ALBATROSS.

August 27th 2022

Improved stability and fixed bugs with non-standard amino acids.
Added link to the Google colab notebook for multiple sequence predictions online.
Updated with link to V2 preprint

March 15th 2022

Updated the back-end disorder prediction engine to the more accurate metapredict V2.
Improved robustness for sequence parsing, including clipping FASTA headers.
Stand-alone IDRs are now shaded on the visualizations, and the colored IDR sequences provided directly for easy of analysis.