English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Protein-protein interactions (PPIs) are essential to cellular processes. Recent developments of high-throughput technologies have uncovered vast numbers of PPIs. However, the experimental evidences are mostly for intra-species interactions of model organisms, especially human. Studies of non-human organisms and inter-species PPIs are few. For organisms such as Arabidopsis thaliana, the experimentally detected 5990 PPIs are estimated to be less than 3% of the entire A. thaliana interactome (M. Lin et al., 2011). The accuracy of high-throughput PPI experiments is also doubtful (Mrowka et al., 2001; Sprinzak et al., 2003; von Mering et al., 2002). To resolve the above issues, several computational methods have been developed to evaluate and predict PPIs. This chapter focuses on direct PPIs which involve physical interactions of proteins, provides a brief overview of the reliabilities of high-throughput PPI detection technologies, and discusses the weakness and strength of important PPI computational prediction and evaluation methods. The major repositories which store, evaluate, and analyse both detected and predicted PPIs are also introduced.

The Prediction and Analysis of Inter- and Intra-Species Protein-Protein Interaction