Open AccessStructure‐based protein‐protein interaction networks and drug design
Author(s) -
Naveed Hammad,
Han Jingdong J.
Publication year - 2013
Publication title -
quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.707
H-Index - 15
eISSN - 2095-4697
pISSN - 2095-4689
DOI - 10.1007/s40484-013-0018-y
Subject(s) - computer science , protein interaction networks , protein–protein interaction , interaction network , graph , construct (python library) , network structure , theoretical computer science , drug discovery , computational biology , bioinformatics , chemistry , biology , computer network , biochemistry , gene
Proteins carry out their functions by interacting with other proteins and small molecules, forming a complex interaction network. In this review, we briefly introduce classical graph theory based protein‐protein interaction networks. We also describe the commonly used experimental methods to construct these networks, and the insights that can be gained from these networks. We then discuss the recent transition from graph theory based networks to structure based protein‐protein interaction networks and the advantages of the latter over the former, using two networks as examples. We further discuss the usefulness of structure based protein‐protein interaction networks for drug discovery, with a special emphasis on drug repositioning.