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A computational method for designing diverse linear epitopes including citrullinated peptides with desired binding affinities to intravenous immunoglobulin.

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第一作者： Rob,Patro

第一单位： Department of Computer Science, Stony Brook, NY, USA.

作者： Rob,Patro ^[1] ; Raquel,Norel ^[2] ; Robert J,Prill ^[2] ; Julio,Saez-Rodriguez ^[3] ; Peter,Lorenz ^[4] ; Felix,Steinbeck ^[5] ; Bjoern,Ziems ^[6] ; Mitja,Luštrek ^[7] ; Nicola,Barbarini ^[8] ; Alessandra,Tiengo ^[8] ; Riccardo,Bellazzi ^[8] ; Hans-Jürgen,Thiesen ^[5] ; Gustavo,Stolovitzky ^[2] ; Carl,Kingsford ^[9]

作者单位： Department of Computer Science, Stony Brook, NY, USA. ^[1] IBM T.J. Watson Research Center, Yorktown Heights, NY, USA. ^[2] European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire, UK. ^[3] Institute of Immunology, University of Rostock, Rostock, Germany. ^[4] Institute of Immunology, University of Rostock, Rostock, Germany.;Gesellschaft für Individualisierte Medizin (IndyMed) mbH, Rostock, Germany. ^[5] Gesellschaft für Individualisierte Medizin (IndyMed) mbH, Rostock, Germany. ^[6] Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia. ^[7] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy. ^[8] Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA. carlk@cs.cmu.edu. ^[9]

关键词 Antibodies Machine learning Protein binding Protein design