Martin Closter Jespersen

TL;DR: This new method was found to outperform other available tools for sequence-based epitope prediction both on epitope data derived from solved 3D structures, and on a large collection of linear epitopes downloaded from the IEDB database.

TL;DR: The accuracy of NetSurfP‐2.0 is assessed and it is found to consistently produce state‐of‐the‐art predictions for each of its output features, and the processing time has been optimized to allow predicting more than 1000 proteins in less than 2 hours, and complete proteomes in more than 1 day.

TL;DR: This IEDB-AR update provides a substantial set of updated and novel features for epitope prediction and analysis, focusing on the 10 new tools that have been added since the last report in the 2012 NAR webserver edition.

TL;DR: An updated and extended version of the NetSurfP tool that can predict the most important local structural features with unprecedented accuracy and runtime is presented, and the processing time has been optimized to allow predicting more than 1,000 proteins in less than 2 hours, and complete proteomes inLess than 1 day.

TL;DR: A community-driven curation effort, supported by ELIXIR—the European infrastructure for biological information—that aspires to a comprehensive and consistent registry of information about bioinformatics resources is presented.