Biological networks are powerful resources for the discovery of genes and genetic modules
that drive disease. Fundamental to network analysis is the concept that genes underlying the …

Functional annotation of proteins is a fundamental problem in the post‐genomic era. The
recent availability of protein interaction networks for many model species has spurred on the …

Automated annotation of protein function is challenging. As the number of sequenced
genomes rapidly grows, the overwhelming majority of protein products can only be …

Protein–protein interactions (PPIs) and their networks play a central role in all biological
processes. Akin to the complete sequencing of genomes and their comparative analysis …

With the development of next generation sequencing techniques, it is fast and cheap to
determine protein sequences but relatively slow and expensive to extract useful information …

During a decade of proof-of-principle analysis in model organisms, protein networks have
been used to further the study of molecular evolution, to gain insight into the robustness of …

A survey of the use of graph theoretical techniques in Biology is presented. In particular,
recent work on identifying and modelling the structure of bio-molecular networks is …

Motivation Proteins are essential macromolecules of life and thus understanding their
function is of great importance. The number of functionally unclassified proteins is large …

Motivation: Most approaches in predicting protein function from protein–protein interaction
data utilize the observation that a protein often share functions with proteins that interacts …

The yeast two-hybrid system pioneered the field of in vivo protein-protein interaction
methods and undisputedly gave rise to a palette of ingenious techniques that are constantly …