title: Cpipe: a comprehensive computational platform for sequence and structure-based analyses of Cysteine residues.
abstract: CONCLUSIONS
  Due to their chemical plasticity, Cysteine residues (Cys) can serve many different functions. Identification and classification of reactive Cys isn't a trivial job: currently, no available tool exists for an all-round, comprehensive (inclusive of all different functional types) analysis of Cys; herein we present a computational platform called Cp i pe, dedicated to this task: it implements state-of-the art protocols, elaborating and displaying a wealth of information, sufficiently orthogonal to allow a thorough evaluation of all major aspects of Cys reactivity.
  
  
  METHODS
  Cp i pe is implemented in Python and freely available at http://cpipe.explora-biotech.com/cpipe/start.py . All major browsers are supported.
  
  
  BACKGROUND
  s.marino@explora-biotech.com.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Agricultural Biotechnology, Akdeniz University, Antalya, 07058, Turkey.
authors.forename: Inanc
authors.initials: I
authors.lastname: Soylu
authors.affiliation: R&D Department, Explora Biotech Srl., Venice, 30172, Italy.
authors.forename: Stefano M
authors.initials: SM
authors.lastname: Marino
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003545:Cysteine / Q000737:chemistry / Q000378:metabolism; D008956:Models, Chemical; D008958:Models, Molecular; D011487:Protein Conformation; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D003545:Cysteine