Katerina C. Nastou

TL;DR: Changes to the text-mining system, a new scoring-mode for physical interactions, as well as extensive user interface features for customizing, extending and sharing protein networks are described.

TL;DR: STRING as mentioned in this paper collects and integrates protein-protein interactions, both physical interactions as well as functional associations, from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources.

TL;DR: In this article, the current performance and methodology of some of the most widely used linear B-cell epitope predictors which are available via a command-line interface are reviewed, including BcePred, BepiPred, ABCpred, COBEpro, SVMTriP, LBtope, and LBEEP.

TL;DR: A detailed protein map of amyloidogenicity is introduced that will aid immensely towards separate intervention strategies, specifically targeting sub-networks of significant nodes, in an attempt to design possible novel therapeutics for aggregation disorders.

TL;DR: Interaction data with drug molecules show that ~10% of peripheral membrane proteins are targets for approved drugs, suggesting their potential implications in disease.