Published April 12, 2018 | Version 1.0

PredictProtein Docker image

Authors/Creators

  • 1. Rutgers University

Description

A docker image for the predictprotein (RostLab) pipeline

PredictProtein started out by predicting secondary structure and returning families of related proteins. Solvent accessibility and transmembrane helix prediction followed suit shortly thereafter. Over the two decades that PredictProtein has been operating, we have substantially expanded the breadth of structural annotations, e.g. by adding predictions of non-regular secondary structure and intrinsically disordered regions, disulphide bridges and inter-residue contacts, and finally by also covering trans-membrane beta barrels structures. We have also added important resources for the prediction of protein function, e.g. assisting in the annotation of subcellular localization (LocTree, LocTree2, NLSpred), identifying protein-protein interaction sites (ISIS) and protein-DNA binding sites (DISIS & SomeNA to be released shortly). We have added a few simple tools to predict enzymatic activity (unfortunately, this method did not survive the move from New York to Munich) and to infer GeneOntology numbers through sequence homology (MetaStudent). Another major addition are the tools that predict the effect of amino acid changes upon protein function (SNAP & SNAP2), and directly upon protein structure (in preparation).

Notes

Requires download of external database. Details can be found at https://hub.docker.com/r/bromberglab/predictprotein

Files

Files (3.7 GB)

Name Size
md5:b76ed8de1deac9a6342c2f2ccd10cecd
10.8 kB Download
md5:fe8e99399ad26921da8694d7a4ae070b
3.7 GB Download