title: Ligand Based-Pharmacophore Modeling and Extended Bi oactivity Prediction for Salinosporamide A, B and C from Marine Actino mycetes Salinispora tropica.
abstract: OBJECTIVE
  Actinomycetes produce structurally unique secondary metabolites with pharmaceutically essential bioactivities. Salinispora, an obligate marine actinomycete, produces structurally varied and unique secondary metabolites. There is plenty of scope for development of drugs from the novel compounds isolated from Salinispora. Anticancer, antibacterial and anti-protozoa activities have been shown for Salinosporamides A, B and C, the secondary metabolites identified from Salinispora, which make them interesting subjects for further extended biological activity prediction.
  
  
  METHODS
  An in silico ligand based-pharmacophore approach was used for the prediction of extended biological targets for salinosporamide A, B and C. Pharmacophore models of salinosporamide A, B and C were generated individually and screened against known drug databases. The drugs with best fitness score were shortlisted, and their respective targets pertaining to their bioactivity were retrieved. The predicted biological drug targets were docked with salinosporamide A, B and C for validation.
  
  
  RESULTS
  The glucocorticoid receptor and methionine aminopeptidase 2 showed good docking score and binding energy with salinosporamide A, B and C. Molecular dynamics studies of the protein-ligand complexes showed stable interactions suggesting that the predicted new targets for salinosporamides might be promising.
  
  
  CONCLUSIONS
  The glucocorticoid receptor and methionine aminopeptidase 2 could be possible new drug targets of bioactivity of salinosporamides. These proteins could be the druggable targets for antiinflammatory and anticancer activity of salinosporamides.
authors.forename: Kesavan
authors.initials: K
authors.lastname: Dineshkumar
authors.forename: Aparna
authors.initials: A
authors.lastname: Vasudevan
authors.affiliation: Bioengineering, Faculty of Engineering & Technology, SRM University, Kattankulathur-603203, Tamil Nadu. India.
authors.forename: Waheeta
authors.initials: W
authors.lastname: Hopper
mesh_terms: D039903:Actinobacteria / Q000737:chemistry* / Q000378:metabolism; D000626:Aminopeptidases / Q000378:metabolism; D055808:Drug Discovery; D006801:Humans; D007769:Lactams / Q000737:chemistry / Q000378:metabolism / Q000494:pharmacology*; D007783:Lactones / Q000737:chemistry / Q000378:metabolism / Q000494:pharmacology*; D008024:Ligands; D008666:Metalloendopeptidases / Q000378:metabolism; D062105:Molecular Docking Simulation; D011485:Protein Binding; D011758:Pyrroles / Q000737:chemistry / Q000378:metabolism / Q000494:pharmacology*; D011965:Receptors, Glucocorticoid / Q000378:metabolism
chemical_list: D007769:Lactams; D007783:Lactones; D008024:Ligands; D011758:Pyrroles; D011965:Receptors, Glucocorticoid; C475865:marizomib; C504699:salinosporamide C; D000626:Aminopeptidases; C106541:methionine aminopeptidase 2; D008666:Metalloendopeptidases; C504698:salinosporamide B
keywords: Salinispora sp; binding energy prediction; bioactive target identification; glide docking; ligand based-pharmacophore; salinosporamides