Psp online interface

About this page

Our web interface gives integrated access to individual predictors, and includes a novel feature to explore prediction-based 'biophysical variation' of proteins from a multiple sequence alignment (the complete list of the our software tools is available here).

This website is free and open to all users (including commercial users). No login is needed, your prediction submission is related to a token saved in your browser session. You can manage your token from the navigation bar. Read our terms and conditions for further information.

This interface is being replaced

The Bio2Byte online predictors are the current platform for these same tools, and this one is being deprecated in their favour. They run the same predictors on the same infrastructure, and add a documented REST API, per-job progress and history, and clear reporting when something fails. Please use them for new work.

If the protein you are interested in belongs to a reference proteome, these predictions may already be computed for it in the Biophysical Proteome Atlas — human and other model organisms. You can look an entry up rather than submitting a sequence at all.

Upload a FASTA file:

Enter or paste a set of sequences

Or, upload a new file:


PSP (Phase Separating Protein)
  •  Predict whether a protein is likely to phase-separate with a particular mechanism involving RNA interacts (FUS-like proteins)
  •  Up to 20 sequences
  •  Min. 20, max. 3000 residues per sequence
  •  Supported format(s): FASTA
  •  Predictions: PSPer score, Complexity, Tyr, Arg, RRM, Disorder

This page will only run Psp. In case you need to run multiple predictions at the same time, please click on the following button:

Run multiple predictors

Alternative methods

This tools are also available directly through an REST API, find the guidelines and examples on the API documentation section. In addition, we provide a Python Package with all our tools (Single Sequence, MSA, and general tools such as parsing and plotting) to enable you to integrate these predictors in your pipelines.

For more information, please visit our site on the Python Package Index: b2BTools package.

Further information

Please read the usage guidelines provided on the tutorial section.

If you have any feedback or found an issue, please contact us using the feedback from. Read our terms of use if you are concerned with your privacy and how we handle personal information.