title: Randomness and preserved patterns in cancer network.
abstract: Breast cancer has been reported to account for the maximum cases among all female cancers till date. In order to gain a deeper insight into the complexities of the disease, we analyze the breast cancer network and its normal counterpart at the proteomic level. While the short range correlations in the eigenvalues exhibiting universality provide an evidence towards the importance of random connections in the underlying networks, the long range correlations along with the localization properties reveal insightful structural patterns involving functionally important proteins. The analysis provides a benchmark for designing drugs which can target a subgraph instead of individual proteins.
authors.affiliation: Centre for Bio-Science and Bio-Medical Engineering, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus, Khandwa Road, Indore 452017, India.
authors.forename: Aparna
authors.initials: A
authors.lastname: Rai
authors.affiliation: Complex Systems Lab, Discipline of Physics, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus, Khandwa Road, Indore 452017, India.
authors.forename: A Vipin
authors.initials: AV
authors.lastname: Menon
authors.affiliation: 1] Centre for Bio-Science and Bio-Medical Engineering, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus, Khandwa Road, Indore 452017, India [2] Complex Systems Lab, Discipline of Physics, Indian Institute of Technology Indore, M-Block, IET-DAVV Campus, Khandwa Road, Indore 452017, India.
authors.forename: Sarika
authors.initials: S
authors.lastname: Jalan
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics*; D019295:Computational Biology / Q000379:methods*; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D015398:Signal Transduction