Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Kamilla Kjærgaard Jensen"'
1
Akademický článek
Benchmark datasets of immune receptor-epitope structural complexes
Autor: Swapnil Mahajan, Zhen Yan, Martin Closter Jespersen, Kamilla Kjærgaard Jensen, Paolo Marcatili, Morten Nielsen, Alessandro Sette, Bjoern Peters
Publikováno v: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-7 (2019)
Abstract Background The development of accurate epitope prediction tools is important in facilitating disease diagnostics, treatment and vaccine development. The advent of new approaches making use of antibody and TCR sequence information to predict
Externí odkaz: https://doaj.org/article/1e9a3336a3114bceb76291c630ff87aa
Zobrazit plný text záznamu
2
Benchmark datasets of immune receptor-epitope structural complexes
Autor: Bjoern Peters, Martin Closter Jespersen, Paolo Marcatili, Zhen Yan, Swapnil Mahajan, Alessandro Sette, Kamilla Kjærgaard Jensen, Morten Nielsen
Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-7 (2019)
Mahajan, S, Yan, Z, Jespersen, M C, Jensen, K K, Marcatili, P, Nielsen, M, Sette, A & Peters, B 2019, ' Benchmark datasets of immune receptor-epitope structural complexes ', BMC Bioinformatics, vol. 20, no. 1, 490 . https://doi.org/10.1186/s12859-019-3109-6
Background: The development of accurate epitope prediction tools is important in facilitating disease diagnostics, treatment and vaccine development. The advent of new approaches making use of antibody and TCR sequence information to predict receptor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19361672eeee99f11694e0eab395da03
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-3109-6
Zobrazit plný text záznamu
3
TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes
Autor: Tobias Hegelund Olsen, Bjoern Peters, Martin Closter Jespersen, Vanessa Isabell Jurtz, Morten Nielsen, Kamilla Kjærgaard Jensen, Paolo Marcatili, Esteban Omar Lanzarotti, Leon Eyrich Jessen, Emma Christine Jappe, Vasileios Rantos, Swapnil Mahajan
Publikováno v: Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-12 (2019)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Jensen, K K, Rantos, V, Jappe, E C, Olsen, T H, Jespersen, M C, Jurtz, V I, Jessen, L E, Lanzarotti, E, Mahajan, S, Peters, B, Nielsen, M & Marcatili, P 2019, ' TCRpMHCmodels: Structural modelling of TCR-pMHC class I complexes ', Scientific Reports, vol. 9, no. 1, 14530 . https://doi.org/10.1038/s41598-019-50932-4
The interaction between the class I major histocompatibility complex (MHC), the peptide presented by the MHC and the T-cell receptor (TCR) is a key determinant of the cellular immune response. Here, we present TCRpMHCmodels, a method for accurate str
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbad706785472a95ea7c441b4d07d44
https://pubmed.ncbi.nlm.nih.gov/31601838
Zobrazit plný text záznamu
4
Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis
Autor: Eugene R. Bleecker, Carlos Flores, Gonneke Willemsen, Kamilla Kjærgaard Jensen, Herman T. den Dekker, Zhanghua Chen, W. James Gauderman, Xingnan Li, Teemu Palviainen, Christian Gieger, Franz Rüschendorf, Dan L. Nicolae, Leon Eyrich Jessen, Hans Bisgaard, Nicole Probst-Hensch, Medea Imboden, Raquel Granell, Ingileif Jonsdottir, Maria Pino-Yanes, Supinda Bunyavanich, Manuel A. R. Ferreira, Michel Georges, Vincent W. V. Jaddoe, Stephan Weidinger, Hongsheng Gui, Esteban G. Burchard, Abdel Abdellaoui, Ivan Curjuric, Johannes Waage, Torben Hansen, Deborah A. Meyers, Rachel A. Myers, Lavinia Paternoster, Ashok Kumar, Ellen A. Nohr, Kari Stefansson, L. Keoki Williams, Andreas Arnold, David P. Strachan, David Torrents, Carol A. Wang, Dorret I. Boomsma, Julia Dmitrieva, Markus J. Ege, Joyce Y. Tung, Jordi Sunyer, Elisabeth Thiering, Nathan Schoettler, Deborah Jarvis, Sílvia Bonàs-Guarch, Joachim Heinrich, Shyamali C. Dharmage, Jaakko Kaprio, Craig E. Pennell, Marie Standl, Philip J. Thompson, Patrick G. Holt, Natalia Hernandez-Pacheco, Angela Simpson, Michael Kabesch, Josep M. Mercader, Marjo-Riitta Järvelin, Andre F.S. Amaral, Tarunveer S. Ahluwalia, Fabián Lorenzo-Díaz, John A. Curtin, Gardar Sveinbjornsson, Susanne Brix, Scott T. Weiss, Chao Tian, Adnan Custovic, David A. Hinds, Amalia Barreto-Luis, John Henderson, Hansjörg Baurecht, Young-Ae Lee, Catharina E. M. van Beijsterveldt, Jonathan Thorsen, Carole Ober, Alexessander Couto Alves, Frank D. Gilliland, Albert M. Levin, Josep M. Antó, Liesbeth Duijts, Erik Melén, Maties Torrent, Klaus Bønnelykke, Göran Pershagen
Publikováno v: The 23andMe Research Team & AAGC collaborators 2018, ' Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis ', Nature Genetics, vol. 50, no. 8, pp. 1072–1080 . https://doi.org/10.1038/s41588-018-0157-1
Abdellaoui, A, van Beijsterveldt, C E M, Boomsma, D I, Willemsen, G & 23Andme Research Team 2018, ' Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis ', Nature Genetics, vol. 50, no. 8, pp. 1072-1080 . https://doi.org/10.1038/s41588-018-0157-1
Curtin, J, Simpson, A, Custovic, A & et al. 2018, ' Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis ', Nature Genetics, vol. 50 . https://doi.org/10.1038/s41588-018-0157-1
Nature Genetics
Nat. Genet. 50, 1072–1080 (2018)
Nature Genetics, 50(8), 1072-+. Nature Publishing Group
Waage, J, Standl, M, Curtin, J A, Jessen, L E, Thorsen, J, Tian, C, Schoettler, N, the 23 and Me Research Team 2018, ' Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis ', Nature Genetics, vol. 50, no. 8, pp. 1072-1080 . https://doi.org/10.1038/s41588-018-0157-1
Waage, J, Standl, M, Curtin, J A, Jessen, L E, Thorsen, J, Tian, C, Schoettler, N, Flores, C, Abdellaoui, A, Ahluwalia, T S, Alves, A C, Amaral, A F S, Antó, J M, Arnold, A, Barreto-Luis, A, Baurecht, H, van Beijsterveldt, C E M, Bleecker, E R, Bonàs-Guarch, S, Boomsma, D I, Brix, S, Bunyavanich, S, Burchard, E G, Chen, Z, Curjuric, I, Custovic, A, Den Dekker, H T, Dharmage, S C, Dmitrieva, J, Duijts, L, Ege, M J, Gauderman, W J, Georges, M, Gieger, C, Gilliland, F, Granell, R, Gui, H, Hansen, T, Heinrich, J, Henderson, J, Hernandez-Pacheco, N, Holt, P, Imboden, M, Jaddoe, V W V, Jarvelin, M R, Jarvis, D L, Jensen, K K, Jónsdóttir, I, Kabesch, M, Kaprio, J, The 23andMe Research Team & AAGC collaborators 2018, ' Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis ', Nature Genetics, vol. 50, no. 8, pp. 1072-1080 . https://doi.org/10.1038/s41588-018-0157-1
Nature Genetics, 50(8), 1072-1080. Nature Publishing Group
Allergic rhinitis is the most common clinical presentation of allergy, affecting 400 million people worldwide, with increasing incidence in westernized countries1,2. To elucidate the genetic architecture and understand the underlying disease mechanis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84db3d9851e1a4d9d691683c498020d1
https://findresearcher.sdu.dk:8443/ws/files/151948588/Genome_wide_association_and_HLA_fine_mapping_studies_identify_risk_loci_and_genetic_pathways_underlying_allergic_rhinitis.pdf
Zobrazit plný text záznamu
5
Improved methods for predicting peptide binding affinity to MHC class II molecules
Autor: Massimo Andreatta, Paolo Marcatili, Zhen Yan, Jason A. Greenbaum, Bjoern Peters, Morten Nielsen, Søren Buus, Alessandro Sette, Kamilla Kjærgaard Jensen
Publikováno v: Jensen, K K, Andreatta, M, Marcatili, P, Buus, S, Greenbaum, J A, Yan, Z, Sette, A, Peters, B & Nielsen, M 2018, ' Improved methods for predicting peptide binding affinity to MHC class II molecules ', Immunology, vol. 154, no. 3, pp. 394-406 . https://doi.org/10.1111/imm.12889
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Major histocompatibility complex class II (MHC-II) molecules are expressed on the surface of professional antigen-presenting cells where they display peptides to T helper cells, which orchestrate the onset and outcome of many host immune responses. U
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047cc5a2f8c44ee7fd666112e1c5487f
https://orbit.dtu.dk/en/publications/b0626d6f-6a23-4378-8f2c-d39984ae5559
Zobrazit plný text záznamu
7
T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide–MHC complexes
Autor: David M. Koelle, Kamilla Kjærgaard Jensen, Paolo Marcatili, Amalie Kai Bentzen, Morten Nielsen, Ton N. Schumacher, Carsten Linnemann, Rikke Birgitte Lyngaa, Andrea Marion Marquard, Jürgen C. Becker, Candice D. Church, Sine Reker Hadrup, Leon Eyrich Jessen, Natalie J. Miller, Lina Such, Paul Nghiem
Publikováno v: Bentzen, A K, Such, L, Jensen, K K, Marquard, A M, Jessen, L E, Miller, N J, Church, C D, Lyngaa, R B, Koelle, D M, Becker, J C, Linnemann, C, Schumacher, T N M, Marcatili, P, Nghiem, P, Nielsen, M & Hadrup, S R 2018, ' T cell receptor fingerprinting enables in-depth characterization of the interactions governing recognition of peptide-MHC complexes ', Nature Biotechnology, vol. 36, no. 12, pp. 1191-1196 . https://doi.org/10.1038/nbt.4303
Nature Biotechnology
Nat Biotechnol
The promiscuous nature of T-cell receptors (TCRs) allows T cells to recognize a large variety of pathogens, but makes it challenging to understand and control T-cell recognition(1). Existing technologies provide limited information about the key requ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c6695fa05f3209bc092dd09e4bde885
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje