Next-generation sequencing allows the analysis of genomes, including those representing
disease states. However, the causes of most disorders are multifactorial, and systems-level …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

A central goal of systems biology is to elucidate the structural and functional architecture of
the cell. To this end, large and complex networks of molecular interactions are being rapidly …

Protein post‐translational modifications (PTM s) allow the cell to regulate protein activity and
play a crucial role in the response to changes in external conditions or internal states …

Protein complexes and protein interaction networks are essential mediators of most
biological functions. Complexes supporting transient functions such as signal transduction …

Characterizing changes in protein-protein interactions associated with sequence variants
(eg, disease-associated mutations or splice forms) or following exposure to drugs, growth …

One of the challenges raised by next generation sequencing (NGS) is the identification of
clinically relevant mutations among all the genetic variation found in an individual. Network …

Large-scale “omics” data, such as microarrays, can be used to infer underlying cellular
regulatory networks in organisms, enabling us to better understand the molecular basis of …

A prime objective of genomic medicine is the identification of disease-causing mutations and
the mechanisms by which such events result in disease. As most disease phenotypes arise …

Molecular interactions are often represented as network models which have become the
common language of many areas of biology. Graphs serve as convenient mathematical …