What we provide

Analysis Methods PredictProtein integrates feature prediction for secondary structure, solvent accessibility, transmembrane helices, globular regions, coiled-coil regions ,structural switch regions, B-values, disorder regions, intra-residue contacts, protein-protein and protein-DNA binding sites, sub-cellular localization, domain boundaries, beta-barrels, cysteine bonds, metal binding sites and disulphide bridges.
Visualization Features PredictProtein features data visualizations using the Jbio interactive visualization library
Data Storage and Caching PredictProtein caches the prediction for each new query sequence it processes for quick and easy retrieval.
Currently the PredictProtein cache contains 5,886,607 annotated proteins.
Job Managment PredictProtein users can store their jobs for later reference
Extensive Support The service features:
  1. On screen help tooltips
  2. Complete user documentation
  3. Online discussion board  
Licensing Options We currently provide two licenseing options for your convenience:
  1. Commercial License - SAFEGUARDING YOUR INTELLECTUAL PROPERTY
  2. Academic License - SUPPORTING ACADEMIC STUDY AND RESEARCH

Software for your cloud? Get the PP machine image!

The PredictProtein Machine Image (PPMI) is a self-contained solution for protein feature prediction. The image contains everything you need to get started: a fully functional Debian system, prediction methods and supporting databases. The image may be used in small scale analysis on a single machine (real or virtual) or in large scale high-throughput analysis on an arbitrary number of server instances in the cloud. You may also extend the image with packages (such as gridengine-client) and tools according to the needs of your computation environment. Prediction methods from our group will contine to receive updates automatically.
You can find further details and answers to the following frequently asked questions on our wiki:

Download the PredictProtein Machine Image



Software Downloads

The most effective use of ProteinPredict is to acquire the package that is most suitable for your needs. We provide an extensive, open-source repository of software packages specifically designed for the needs of the researcher working as an employee of a pharmaceutical or biomedical company. Currently most of the software is available as Debian packages for academic use and in an RPM repository for commercial licensees. For an overview of the software packages we provide please refer to our debian packages guide. Users unfamiliar with Debian package management and installation may want to check this newbie guide.