title: PIGS: automatic prediction of antibody structures.
abstract: We describe a web server for the automatic prediction of immunoglobulin variable domains based on the canonical structure model. The server is user-friendly and flexible. It allows the user to select the templates for the frameworks and the loops using different strategies. The final output is a full-fledged 3D model of the variable domains of the target immunoglobulin.
  
  
  BACKGROUND
  The server is openly accessible to academic users at the address: http://arianna.bio.uniroma1.it/pigs. It does not require registration and there is no limit to the number of sequences that can be submitted.
authors.affiliation: Department of Biochemical Sciences and Istituto Pasteur Fondazione Cenci Bolognetti, Sapienza University, P.le A. Moro 5, 00185 Rome, Italy.
authors.forename: Paolo
authors.initials: P
authors.lastname: Marcatili
authors.forename: Alessandra
authors.initials: A
authors.lastname: Rosi
authors.forename: Anna
authors.initials: A
authors.lastname: Tramontano
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000906:Antibodies / Q000737:chemistry* / Q000648:ultrastructure*; D003198:Computer Simulation; D007135:Immunoglobulin Variable Region / Q000737:chemistry* / Q000648:ultrastructure*; D020407:Internet; D008956:Models, Chemical; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011487:Protein Conformation; D017434:Protein Structure, Tertiary; D020539:Sequence Analysis, Protein / Q000379:methods; D012984:Software; D014584:User-Computer Interface
chemical_list: D000906:Antibodies; D007135:Immunoglobulin Variable Region