The SubCons webserver: A user friendly web interface for state-of-the-art subcellular localization prediction.

Salvatore M, Shu N, Elofsson A

Protein Sci. 27 (1) 195-201 [2018-01-00; online 2017-10-24]

SubCons is a recently developed method that predicts the subcellular localization of a protein. It combines predictions from four predictors using a Random Forest classifier. Here, we present the user-friendly web-interface implementation of SubCons. Starting from a protein sequence, the server rapidly predicts the subcellular localizations of an individual protein. In addition, the server accepts the submission of sets of proteins either by uploading the files or programmatically by using command line WSDL API scripts. This makes SubCons ideal for proteome wide analyses allowing the user to scan a whole proteome in few days. From the web page, it is also possible to download precalculated predictions for several eukaryotic organisms. To evaluate the performance of SubCons we present a benchmark of LocTree3 and SubCons using two recent mass-spectrometry based datasets of mouse and drosophila proteins. The server is available at

Bioinformatics Compute and Storage [Service]

Bioinformatics Support and Infrastructure [Collaborative]

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PubMed 28901589

DOI 10.1002/pro.3297

Crossref 10.1002/pro.3297

pmc PMC5734273