Human Dopamine Receptors Interaction Network (DRIN): a systems biology perspective on topology, stability and functionality of the network.
Dopamine receptors (DR) are one of the major neurotransmitter receptors present in human brain. Malfunctioning of these receptors is well established to trigger many neurological and psychiatric disorders. Taking into consideration that proteins function collectively in a network for most of the biological processes, the present study is aimed to depict the interactions between all dopamine receptors following a systems biology approach. To capture comprehensive interactions of candidate proteins associated with human dopamine receptors, we performed a protein-protein interaction network (PPIN) analysis of all five receptors and their protein partners by mapping them into human interactome and constructed a human Dopamine Receptors Interaction Network (DRIN). We explored the topology of dopamine receptors as molecular network, revealing their characteristics and the role of central network elements. More to the point, a sub-network analysis was done to determine major functional clusters in human DRIN that govern key neurological pathways. Besides, interacting proteins in a pathway were characterized and prioritized based on their affinity for utmost drug molecules. The vulnerability of different networks to the dysfunction of diverse combination of components was estimated under random and direct attack scenarios. To the best of our knowledge, the current study is unique to put all five dopamine receptors together in a common interaction network and to understand the functionality of interacting proteins collectively. Our study pinpointed distinctive topological and functional properties of human dopamine receptors that have helped in identifying potential therapeutic drug targets in the dopamine interaction network.
Bioinformatics Infrastructure Facility, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi 110021, India.
Avijit
A
Podder
Bioinformatics Infrastructure Facility, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi 110021, India.
Nidhi
N
Jatana
Bioinformatics Infrastructure Facility, Sri Venkateswara College (University of Delhi), Benito Juarez Road, Dhaula Kuan, New Delhi 110021, India. Electronic address: lata@bic-svc.ac.in.
N
N
Latha
D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000378:metabolism*; D055550:Protein Stability; D011954:Receptors, Dopamine / Q000378:metabolism*; D049490:Systems Biology
D011954:Receptors, Dopamine
Dopamine receptors; Human PPIN; Network properties; Sub-network; Vulnerability