Your browser doesn't support javascript.
loading
PIGSPro: prediction of immunoGlobulin structures v2.
Lepore, Rosalba; Olimpieri, Pier P; Messih, Mario A; Tramontano, Anna.
Affiliation
  • Lepore R; Department of Physics, Sapienza University, Piazzale Aldo Moro 500-184 Rome, Italy.
  • Olimpieri PP; Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Viale Regina Elena 291, 00161 Rome, Italy.
  • Messih MA; Department of Physics, Sapienza University, Piazzale Aldo Moro 500-184 Rome, Italy.
  • Tramontano A; Department of Physics, Sapienza University, Piazzale Aldo Moro 500-184 Rome, Italy.
Nucleic Acids Res ; 45(W1): W17-W23, 2017 07 03.
Article in En | MEDLINE | ID: mdl-28472367
PIGSpro is a significant upgrade of the popular PIGS server for the prediction of the structure of immunoglobulins. The software has been completely rewritten in python following a similar pipeline as in the original method, but including, at various steps, relevant modifications found to improve its prediction accuracy, as demonstrated here. The steps of the pipeline include the selection of the appropriate framework for predicting the conserved regions of the molecule by homology; the target template alignment for this portion of the molecule; the selection of the main chain conformation of the hypervariable loops according to the canonical structure model, the prediction of the third loop of the heavy chain (H3) for which complete canonical structures are not available and the packing of the light and heavy chain if derived from different templates. Each of these steps has been improved including updated methods developed along the years. Last but not least, the user interface has been completely redesigned and an automatic monthly update of the underlying database has been implemented. The method is available as a web server at http://biocomputing.it/pigspro.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Software / Immunoglobulins Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Nucleic Acids Res Year: 2017 Type: Article Affiliation country: Italy

Full text: 1 Database: MEDLINE Main subject: Software / Immunoglobulins Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Nucleic Acids Res Year: 2017 Type: Article Affiliation country: Italy