Buus, Søren

PRODUCCION CIENTÍFICO TECNOLÓGICA

Mostrando ítems 1-19 de 19

Artículo A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-1*04:01, SLA-2*04:01, and SLA-3*04:01

Pedersen, Lasse Eggers; Rasmussen, Michael; Harndahl, Mikkel; Nielsen, Morten ; Buus, Søren; Jungersen, Gregers (Springer, 2016-02)
Artículo A modern approach for epitope prediction: identification of foot-and-mouth disease virus peptides binding bovine leukocyte antigen (BoLA) class I molecules

Pandya, Mital; Rasmussen, Michael; Hansen, Andreas Martin; Nielsen, Morten ; Buus, Søren; Golde, William T.; Barlow, John (Springer, 2015-11)
Artículo Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

Andreatta, Massimo ; Karosiene, Edita; Rasmussen, Michael; Stryhn, Anette; Buus, Søren; Nielsen, Morten (Springer, 2015-09)
Artículo ArrayPitope: Automated analysis of amino acid substitutions for peptide microarray-based antibody epitope mapping

Hansen, Christian Skjødt; Østerbye, Thomas; Marcatili, Paolo; Lund, Ole; Buus, Søren; Nielsen, Morten (Public Library of Science, 2017-01)
Artículo Characterization of binding specificities of bovine leucocyte class I molecules: impacts for rational epitope discovery

Hansen, Andreas M.; Rasmussen, Michael; Svitek,Nicholas; Harndahl, Mikkel; Golde, William T.; Barlow, John; Vishvanath, Nene; Buus, Søren; Nielsen, Morten (Springer Heidelberg, 2014-12)
Artículo Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions

Kim, Yohan; Sidney, John; Buus, Søren; Sette, Alessandro; Nielsen, Morten ; Peters, Bjoern (BioMed Central, 2014-07)
Artículo Different binding motifs of the celiac disease-associated HLA molecules DQ2.5, DQ2.2, and DQ7.5 revealed by relative quantitative proteomics of endogenous peptide repertoires

Bergseng, Elin; Dørum, Siri; Arntzen, Magnus Ø.; Nielsen, Morten ; Nygård, Ståle; Buus, Søren; de Souza, Gustavo A.; Sollid, Ludvig M. (Springer, 2014-12)
Artículo Footprints of antigen processing boost MHC class II natural ligand predictions

Barra, Carolina M. ; Alvarez, Bruno ; Paul, Sinu; Sette, Alessandro; Peters, Bjoern; Andreatta, Massimo ; Buus, Søren; Nielsen, Morten (Springer Nature, 2018-11)
Artículo Identification and HLA-tetramer-validation of human CD4+ and CD8+ T cell responses against CMV proteins IE1 and IE2

Braendstrup, Peter; Mortensen, Bo Kok; Justesen, Sune; Østerby, Thomas; Rasmussen, Michael; Hansen, Andreas Martin; Christiansen, Claus Bohn; Hansen, Morten Bagge; Nielsen, Morten ; Vindeløv, Lars; Buus, Søren; Stryhn, Anette (Public Library of Science, 2014-04)
Artículo Immunogenicity of HLA Class i and II double restricted influenza a-derived peptides

Pedersen, Sara Ram; Christensen, Jan Pravsgaard; Buus, Søren; Rasmussen, Michael; Korsholm, Karen Smith; Nielsen, Morten ; Claesson, Mogens Helweg (Public Library of Science, 2016-01)
Artículo Immunoinformatics: Predicting Peptide–MHC Binding

Nielsen, Morten ; Andreatta, Massimo ; Peters, Bjoern; Buus, Søren (Annual Review, 2020-07)
Artículo Improved methods for predicting peptide binding affinity to MHC class II molecules

Jensen, Kamilla Kjærgaard; Andreatta, Massimo ; Marcatili, Paolo; Buus, Søren; Greenbaum, Jason A.; Yan, Zhen; Sette, Alessandro; Peters, Bjoern; Nielsen, Morten (Wiley Blackwell Publishing, Inc, 2018-07)
Artículo Integral use of immunopeptidomics and immunoinformatics for the characterization of antigen presentation and rational identification of BoLA-DR-presented peptides and epitopes

Fisch, Andressa; Reynisson, Birkir; Benedictus, Lindert; Nicastri, Annalisa; Vasoya, Deepali; Morrison, Ivan; Buus, Søren; Ferreira, Beatriz Rossetti; De Miranda Santos, Isabel Kinney Ferreira; Ternette, Nicola; Connelley, Tim; Nielsen, Morten (American Association of Immunologists, 2021-05)
Artículo NetMHCstab – predicting stability of peptide–MHC-I complexes; impacts for cytotoxic T lymphocyte epitope discovery

Jørgensen, Kasper W.; Rasmussen, Michael; Buus, Søren; Nielsen, Morten (Wiley, 2014-01)
Artículo NNAlign-MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved t-cell epitope predictions

Alvarez, Bruno ; Reynisson, Birkir; Barra, Carolina M ; Buus, Søren; Ternette, Nicola; Connelley, Tim; Andreatta, Massimo ; Nielsen, Morten (American Society for Biochemistry and Molecular Biology, 2019-10)
Artículo Pan-specific prediction of peptide-MHC Class I complex stability, a correlate of T cell immunogenicity

Rasmussen, Michael; Fenoy, Luis Emilio ; Harndahl, Mikkel; Kristensen, Anne Bregnballe; Nielsen, Ida Kallehauge; Nielsen, Morten ; Buus, Søren (American Association of Immunologists, 2016-07)
Artículo Prediction and in vitro verification of potential CTL epitopes conserved among PRRSV-2 strains

Welner, Simon; Nielsen, Morten ; Rasmussen, Michael; Buus, Søren; Jungersen, Gregers; Larsen, Lars Erik (Springer, 2017-10)
Artículo Uncovering the peptide-binding specificities of HLA-C: a general strategy to determine the specificity of any MHC class I molecule

Rasmussen, Michael; Harndahl, Mikkel; Stryhn, Anette; Boucherma, Rachid; Nielsen, Lise Lotte; Lemonnier, François A.; Nielsen, Morten ; Buus, Søren (Amer Assoc Immunologists, 2014-11)
Artículo Use of “one-pot, mix-and-read” peptide-MHC class I tetramers and predictive algorithms to improve detection of cytotoxic T lymphocyte responses in cattle

Svitek, Nicholas; Hansen, Andreas Martin; Steinaa, Lucilla; Saya, Rosemary; Awino, Elias; Nielsen, Morten ; Buus, Søren; Nene, Vishvanath (BioMed Central, 2014-04)

Mostrando ítems 1-19 de 19