title: Systems Biology Approaches for the Prediction of Possible Role of Chlamydia pneumoniae Proteins in the Etiology of Lung Cancer.
abstract: Accumulating evidence has recently supported the association of bacterial infection with the growth and development of cancers, particularly in organs that are constantly exposed to bacteria such as the lungs, colon, cervical cancer etc. Our in silico study on the proteome of Chlamydia pneumoniae suggests an unprecedented idea of the etiology of lung cancer and have revealed that the infection of C. pneumoniae is associated with lung cancer development and growth. It is reasonable to assume that C. pneumoniae transports its proteins within host-intracellular organelles during infection, where they may work with host-cell proteome. The current study was performed for the prediction of nuclear targeting protein of C. pneumoniae in the host cell using bioinformatics predictors including ExPASy pI/Mw tool, nuclear localization signal (NLS) mapper, balanced sub cellular localization predictor (BaCeILo), and Hum-mPLoc 2.0. We predicted 47/1112 nuclear-targeting proteins of C. pneumoniae connected with several possible alterations in host replication and transcription during intracellular infection. These nuclear-targeting proteins may direct to competitive interactions of host and C. pneumoniae proteins with the availability of same substrate and may be involved as etiological agents in the growth and development of lung cancer. These novel findings are expected to access in better understanding of lung cancer etiology and identifying molecular targets for therapy.
authors.affiliation: Nanomedicine Research Unit, Department of Pharmaceutics, College of Pharmacy, PO Box 2457, King Saud University, Riyadh 11451, Saudi Arabia.
authors.forename: Shahanavaj
authors.initials: S
authors.lastname: Khan
authors.affiliation: King Abdullah Institute for Nanotechnology, King Saud University, PO Box 2455, Riyadh, 11451, Saudi Arabia.
authors.forename: Ahamad
authors.initials: A
authors.lastname: Imran
authors.affiliation: Nanomedicine Research Unit, Department of Pharmaceutics, College of Pharmacy, PO Box 2457, King Saud University, Riyadh 11451, Saudi Arabia.
authors.forename: Abdul Arif
authors.initials: AA
authors.lastname: Khan
authors.affiliation: Nanomedicine Research Unit, Department of Pharmaceutics, College of Pharmacy, PO Box 2457, King Saud University, Riyadh 11451, Saudi Arabia.
authors.forename: Mohd
authors.initials: M
authors.lastname: Abul Kalam
authors.affiliation: Nanomedicine Research Unit, Department of Pharmaceutics, College of Pharmacy, PO Box 2457, King Saud University, Riyadh 11451, Saudi Arabia.|King Abdullah Institute for Nanotechnology, King Saud University, PO Box 2455, Riyadh, 11451, Saudi Arabia.
authors.forename: Aws
authors.initials: A
authors.lastname: Alshamsan
mesh_terms: D001426:Bacterial Proteins / Q000032:analysis / Q000378:metabolism*; D023521:Chlamydophila Infections / Q000150:complications* / Q000378:metabolism / Q000382:microbiology; D016993:Chlamydophila pneumoniae / Q000737:chemistry / Q000502:physiology*; D003198:Computer Simulation; D054884:Host-Pathogen Interactions; D006801:Humans; D008168:Lung / Q000378:metabolism / Q000382:microbiology*; D008175:Lung Neoplasms / Q000209:etiology / Q000378:metabolism / Q000382:microbiology*; D008954:Models, Biological; D019913:Nuclear Localization Signals; D049490:Systems Biology / Q000379:methods*
chemical_list: D001426:Bacterial Proteins; D019913:Nuclear Localization Signals