title: Identification of novel anti cancer agents by applying insilico methods for inhibition of TSPO protein.
abstract: Cancer is a genomic disease characterised as impaired cellular energy metabolism. Cancer cells derive most of their energy from oxidative phosphorylation unlike normal ones during cell progression TSPO protein present in external mitochondrial membrane, is involved in various cellular functions like Cell proliferation, mitochondrial respiration, synthesis of steroids and also participates in import of cholesterol into the inner mitochondrial membrane from outside of the membrane of mitochondria. The 3D model of TSPO protein is built using comparative homology modelling techniques and validated by proSA, Ramachandran plot and ERRAT in the present work. Active site prediction is carried out using SiteMap and literature, which allows the prediction of the important binding pockets for the identification of putative active site. New molecular entities as TSPO inhibitors were obtained from Virtual screening using MS Spectrum databank in Schrodinger suite and were prioritised based on Glide Score. Docking was performed using Autodock to identify molecules with different scaffolds and were prioritised based on binding energy and RMSD values. Qikprop is used to calculate pharmacokinetic properties of the screened molecules which are found to be in permissible range as possible novel inhibitors of TSPO protein to supress cell proliferation.
authors.affiliation: St.Francis Degree and PG College for Women, Begumpet, Hyderabad, 500 016, India.
authors.forename: Manan
authors.initials: M
authors.lastname: Bhargavi
authors.affiliation: Molecular Modelling Research Laboratory, Department of Chemistry, Nizam College, Osmania University, Basheerbagh, Hyderabad, 500 001, India.
authors.forename: Sree Kanth
authors.initials: SK
authors.lastname: Sivan
authors.affiliation: Molecular Modelling Research Laboratory, Department of Chemistry, Nizam College, Osmania University, Basheerbagh, Hyderabad, 500 001, India. Electronic address: saritarajender@osmania.ac.in.
authors.forename: Sarita Rajender
authors.initials: SR
authors.lastname: Potlapally
mesh_terms: D000970:Antineoplastic Agents / Q000032:analysis* / Q000138:chemical synthesis / Q000494:pharmacology*; D019295:Computational Biology; D003198:Computer Simulation; D006801:Humans; D008958:Models, Molecular; D009369:Neoplasms / Q000188:drug therapy* / Q000378:metabolism; D018079:Receptors, GABA / Q000737:chemistry / Q000378:metabolism*
chemical_list: D000970:Antineoplastic Agents; D018079:Receptors, GABA; C499229:TSPO protein, human
keywords: Autodock; Cancer; Homology modelling; Pairwise sequence alignment; Prime MMGBSA; TM pred; TMHMM; Virtual screening