Research Topics
Genomes and GenesSpecies | Morten NielsenSummaryAffiliation: Center for Biological Sequence Analysis Country: Denmark Publications
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Detail Information
Publications
Peptide binding predictions for HLA DR, DP and DQ moleculesPeng Wang
La Jolla Institute for Allergy and Immunology, La Jolla, USA
BMC Bioinformatics 11:568. 2010..This reflects a significant gap in knowledge as HLA DP and DQ molecules are presumably equally important, and have only been studied less because they are more difficult to handle experimentally...
NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedureMorten Nielsen
Center A for Biological Sequence Analysis, BioCentrum DTU, Building 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
Immunome Res 6:9. 2010..Characterizing each MHC-II molecule using peptide-screening binding assays is hence not a viable option...
NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequenceMorten Nielsen
Center for Biological Sequence Analysis, BioCentrum DTU, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 2:e796. 2007..The human MHC class I system (HLA-I) is extremely polymorphic. The number of registered HLA-I molecules has now surpassed 1500. Characterizing the specificity of each separately would be a major undertaking...
MHC class II epitope predictive algorithmsMorten Nielsen
Department of Systems Biology, Technical University of Denmark, Centre for Biological Sequence Analysis, Lyngby, Denmark
Immunology 130:319-28. 2010..Furthermore, the pan-specific methods have been used to make a graphical atlas such as the MHCMotifviewer, which allows for visual comparison of specificities of different alleles...
The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavageMorten Nielsen
Center for Biological Sequence Analysis, Technical University of Denmark, BioCentrum DTU, Building 208, 2800, Lyngby, Denmark
Immunogenetics 57:33-41. 2005..e., the specificity of TAP has evolved to fit the specificity of the proteasome. This evolutionary relationship allows for a more efficient antigen presentation...
Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpanMorten Nielsen
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
PLoS Comput Biol 4:e1000107. 2008....
NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding predictionMorten Nielsen
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, DK 2800 Lyngby, Denmark
BMC Bioinformatics 10:296. 2009....
Reliable prediction of T-cell epitopes using neural networks with novel sequence representationsMorten Nielsen
Center for Biological Sequence Analysis, BioCentrum DTU, Technical University of Denmark, DK 2800 Lyngby, Denmark
Protein Sci 12:1007-17. 2003..Finally, we use the method to predict T-cell epitopes for the genome of hepatitis C virus and discuss possible applications of the prediction method to guide the process of rational vaccine design...
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment methodMorten Nielsen
Center for Biological Sequence Analysis, BioCentrum DTU, Technical University of Denmark, Lyngby, Denmark
BMC Bioinformatics 8:238. 2007..The predictive performance of the method is validated on a large MHC class II benchmark data set covering 14 HLA-DR (human MHC) and three mouse H2-IA alleles...
Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approachMorten Nielsen
Center for Biological Sequence Analysis, BioCentrum DTU, Building 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
Bioinformatics 20:1388-97. 2004..The calculation demonstrates that the predictive performance of the Gibbs sampler is higher than that of ClustalW and in most cases also higher than that of the TEPITOPE method...
NetMHCpan, a method for MHC class I binding prediction beyond humansIlka Hoof
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Building 208, 2800, Lyngby, Denmark
Immunogenetics 61:1-13. 2009..The high performance of NetMHCpan-2.0 for non-human primates documents the method's ability to provide broad allelic coverage also beyond human MHC molecules. The method is available at http://www.cbs.dtu.dk/services/NetMHCpan...
Selecting informative data for developing peptide-MHC binding predictors using a query by committee approachJens Kaae Christensen
Center for Biological Sequence Analysis, BioCentrum DTU, Technical University of Denmark, DK 2800 Lyngby, Denmark
Neural Comput 15:2931-42. 2003..Finally, it should be noted that data selection strategies similar to those used here might be of use in other settings in which generation of more data is a costly process...
MHC motif viewerNicolas Rapin
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
Immunogenetics 60:759-65. 2008..The MHC motif viewer is available at http://www.cbs.dtu.dk/biotools/MHCMotifViewer/ ...
NetMHCcons: a consensus method for the major histocompatibility complex class I predictionsEdita Karosiene
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Building 208, Kemitorvet, Lyngby, 2800, Denmark
Immunogenetics 64:177-86. 2012..The final method, NetMHCcons, is publicly available at www.cbs.dtu.dk/services/NetMHCcons , and allows the user in an automatic manner to obtain the most accurate predictions for any given MHC molecule...
Limitations of Ab initio predictions of peptide binding to MHC class II moleculesHao Zhang
Center for Biological Sequence Analysis, Department for Systems Biology, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 5:e9272. 2010....
Definition of supertypes for HLA molecules using clustering of specificity matricesOle Lund
Center for Biological Sequence Analysis, BioCentrum DTU, Technical University of Denmark, Building 208, 2800 Lyngby, Denmark
Immunogenetics 55:797-810. 2004..Supplementary material is available at http://www.cbs.dtu.dk/researchgroups/immunology/supertypes.html...
Large-scale validation of methods for cytotoxic T-lymphocyte epitope predictionMette V Larsen
Center for Biological Sequence Analysis, BioCentrum DTU, Building 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
BMC Bioinformatics 8:424. 2007..Here, we develop such large-scale benchmark and corresponding performance measures and report the performance of an updated version 1.2 of NetCTL in comparison with the four other methods...
Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methodsHao Zhang
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby 2800, Denmark
Bioinformatics 25:83-9. 2009..These pan-specific human lymphocyte antigen (HLA) predictors have not previously been compared using independent evaluation sets...
NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11Claus Lundegaard
CBS, Department of Systems Biology, Technical University of Denmark DTU, Kemitorvet Build 208, 2800 Lyngby, Denmark
Nucleic Acids Res 36:W509-12. 2008..Here, the performance is further validated and benchmarked using a large set of newly published affinity data, non-redundant to the training set. The server is free of use and available at: http://www.cbs.dtu.dk/services/NetMHC...
Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mersClaus Lundegaard
Center for Biological Sequence Analysis CBS, Department of Systems Biology, The Technical University of Denmark DTU, Kemitorvet Build 208, 2800 Lyngby, Denmark
Bioinformatics 24:1397-8. 2008..AVAILABILITY: The algorithm has been implemented in the web-accessible servers NetMHC-3.0: http://www.cbs.dtu.dk/services/NetMHC-3.0, and NetMHCpan-1.1: http://www.cbs.dtu.dk/services/NetMHCpan-1.1..
Interdisciplinary analysis of HIV-specific CD8+ T cell responses against variant epitopes reveals restricted TCR promiscuityIlka Hoof
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
J Immunol 184:5383-91. 2010....
An integrative approach to CTL epitope prediction: a combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictionsMette Voldby Larsen
Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, Lyngby, Denmark
Eur J Immunol 35:2295-303. 2005..The method is available at http://www.cbs.dtu.dk/services/NetCTL. Supplementary material is available at http://www.cbs.dtu.dk/suppl/immunology/CTL.php...
Structural properties of MHC class II ligands, implications for the prediction of MHC class II epitopesKasper Winther Jørgensen
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 5:e15877. 2010..In summary, these findings strongly suggest that local structural properties influence antigen processing and/or the accessibility of peptides to the MHC class II molecule...
Systematic characterisation of cellular localisation and expression profiles of proteins containing MHC ligandsAgnieszka S Juncker
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 4:e7448. 2009..Presentation of peptides on Major Histocompatibility Complex (MHC) molecules is the cornerstone in immune system activation and increased knowledge of the characteristics of MHC ligands and their source proteins is highly desirable...
The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide bindingHao Zhang
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby 2800, Denmark
Bioinformatics 25:1293-9. 2009..This study demonstrates how integration of diverse algorithmic approaches can lead to improved prediction. The method may also be used for making ligand-binding predictions for other types of receptors where many variants exist...
Human leukocyte antigen (HLA) class I restricted epitope discovery in yellow fewer and dengue viruses: importance of HLA binding strengthOle Lund
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 6:e26494. 2011..All three peptides that elicited responses had an HLA binding affinity of 2 nM or less. The results indicate the importance of the strength of HLA binding in shaping the immune response...
HLArestrictor--a tool for patient-specific predictions of HLA restriction elements and optimal epitopes within peptidesMalene Erup Larsen
Center for Biological Sequence Analysis, DTU Systems Biology, Building 208, Technical University of Denmark, DK 2800, Lyngby, Denmark
Immunogenetics 63:43-55. 2011..Thus, HLArestrictor should be a valuable tool in any T cell epitope discovery process aimed at identifying new epitopes from infectious diseases and other disease models...
Prediction of epitopes using neural network based methodsClaus Lundegaard
Center for Biological Sequence Analysis, DTU Systems Biology, Building 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
J Immunol Methods 374:26-34. 2011..Selected potential epitopes were all evaluated experimentally using ex vivo assays...
Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?Claus Lundegaard
Technical University of Denmark DTU, Center for Biological Sequence Analysis, Department of Systems Biology, Kemitorvet 208, DK 2800, Kgs Lyngby, Denmark
Expert Rev Vaccines 11:43-54. 2012..We expect prediction methods as well as experimental validation methods to continue to develop and that we will soon see clinical trials of products whose development has been guided by prediction methods...
Major histocompatibility complex class I binding predictions as a tool in epitope discoveryClaus Lundegaard
Department of Systems Biology, Centre for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
Immunology 130:309-18. 2010..We conclude that this new generation of epitope discovery systems has become a highly efficient tool for epitope discovery, and recommend that the less accurate prediction systems of the past be abandoned, as these are obsolete...
NetCTLpan: pan-specific MHC class I pathway epitope predictionsThomas Stranzl
Department of Systems Biology DTU, Building 208, Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, 2800, Denmark
Immunogenetics 62:357-68. 2010..The method and benchmark datasets are available at http://www.cbs.dtu.dk/services/NetCTLpan/...
CPHmodels-3.0--remote homology modeling using structure-guided sequence profilesMorten Nielsen
Center for Biological Sequence Analysis, Department of Systems Biology, The Technical University of Denmark, Denmark
Nucleic Acids Res 38:W576-81. 2010..Beside its accuracy, one of the important features of the method is its speed. For most queries, the response time of the server is <20 min. The web server is available at http://www.cbs.dtu.dk/services/CPHmodels/...
Identification of CD8+ T cell epitopes in the West Nile virus polyprotein by reverse-immunology using NetCTLMette Voldby Larsen
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 5:e12697. 2010..West Nile virus (WNV) is a growing threat to public health and a greater understanding of the immune response raised against WNV is important for the development of prophylactic and therapeutic strategies...
Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlignMassimo Andreatta
Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
Immunology 136:306-11. 2012..Conversely, the binding motifs for DQ molecules appear more divergent, displaying unconventional anchor positions and in some cases rather unspecific amino acid preferences...
NNAlign: a web-based prediction method allowing non-expert end-user discovery of sequence motifs in quantitative peptide dataMassimo Andreatta
Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
PLoS ONE 6:e26781. 2011..We have successfully applied this method to several different data sets including peptide microarray-derived sets containing more than 100,000 data points. NNAlign is available online at http://www.cbs.dtu.dk/services/NNAlign...
The validity of predicted T-cell epitopesClaus Lundegaard
Center for Biological Sequence Analysis, BioCentrum, Building 208, Technical University of Denmark, 2800 Lyngby, Denmark
Trends Biotechnol 24:537-8. 2006..This work underlines the importance of bioinformatics as a resource-saving tool in the field of epitope discovery. In addition, the data can be used to benchmark the performance of other new or existing CTL epitope-prediction tools...
Seq2Logo: a method for construction and visualization of amino acid binding motifs and sequence profiles including sequence weighting, pseudo counts and two-sided representation of amino acid enrichment and depletionMartin Christen Frølund Thomsen
Center for Biological Sequence Analysis, Technical University of Denmark, DK 2800 Kgs Lyngby, Denmark
Nucleic Acids Res 40:W281-7. 2012..The output from the server is a sequence logo and a PSSM. Seq2Logo is available at http://www.cbs.dtu.dk/biotools/Seq2Logo (14 May 2012, date last accessed)...
Immune epitope database analysis resourceYohan Kim
La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA
Nucleic Acids Res 40:W525-30. 2012..Specifically, the predictive tools can be programmatically accessed using a web interface and can also be downloaded as software packages...
Amino acid similarity accounts for T cell cross-reactivity and for "holes" in the T cell repertoireSune Frankild
Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 3:e1831. 2008..Several studies suggest that CTL clones can recognize highly diverse peptides, some sharing no obvious sequence identity. The emerging realization in the field is that T cell receptors (TcR) recognize multiple distinct ligands...
Modeling the adaptive immune system: predictions and simulationsClaus Lundegaard
Center for Biological Sequence Analysis, CBS, Kemitorvet 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
Bioinformatics 23:3265-75. 2007..Simulation systems and mathematical modeling are also now beginning to reach a level where these methods will be able to answer more complex immunological questions...
Bioinformatics identification of antigenic peptide: predicting the specificity of major MHC class I and II pathway playersOle Lund
Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
Methods Mol Biol 960:247-60. 2013..This wide usage has led to the confusion of defining which of the many methods to use for what problems. In this chapter, an overview is given focusing on the suite of tools developed at the Technical University of Denmark...
The cancer exome generated by alternative mRNA splicing dilutes predicted HLA class I epitope densityThomas Stranzl
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
PLoS ONE 7:e38670. 2012..This variation contributes to the observed significant lower likelihood of cancer-specific peptides to be predicted epitopes compared to peptides found in normal tissue...
A generic method for assignment of reliability scores applied to solvent accessibility predictionsBent Petersen
Center for Biological Sequence Analysis CBS, Department of Systems Biology, Kemitorvet 208, Technical University of Denmark DTU, Lyngby, Denmark
BMC Struct Biol 9:51. 2009..As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score...
Degree of predicted minor histocompatibility antigen mismatch correlates with poorer clinical outcomes in nonmyeloablative allogeneic hematopoietic cell transplantationMalene Erup Larsen
Center for Biological Sequence Analysis, DTU Systems Biology, Technical University of Denmark, DK 2800 Lyngby, Denmark
Biol Blood Marrow Transplant 16:1370-81. 2010..Furthermore, our data suggest a possible role for in silico based miHA predictions in donor selection as well as in selecting candidate miHAs for further evaluation in in vitro and in vivo experiments...
Humans with chimpanzee-like major histocompatibility complex-specificities control HIV-1 infectionIlka Hoof
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark
AIDS 22:1299-303. 2008..Chimpanzees control HIV-1 viral replication and develop a chronic infection without progressing to AIDS. A similar course of disease is observed in human long-term non-progressors...
Reliable B cell epitope predictions: impacts of method development and improved benchmarkingJens Vindahl Kringelum
Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark
PLoS Comput Biol 8:e1002829. 2012..The updated version of DiscoTope is available at www.cbs.dtu.dk/services/DiscoTope-2.0...
State of the art and challenges in sequence based T-cell epitope predictionClaus Lundegaard
The Technical University of Denmark DTU, Dept, of Systems Biology, Center for Biological Sequence Analysis CBS, Kemitorvet 208, DK 2800 Kgs, Lyngby, Denmark
Immunome Res 6:S3. 2010..Here, we will go through some of the history of sequence-based predictions of helper as well as cytotoxic T cell epitopes. We will focus on some of the most accurate methods and their basic background...
Simultaneous alignment and clustering of peptide data using a Gibbs sampling approachMassimo Andreatta
Center for Biological Sequence Analysis, Technical University of Denmark, DK 2800 Lyngby, Denmark
Bioinformatics 29:8-14. 2013..Interpretation of such large peptide datasets, however, is a complex task, especially when the data contain multiple receptor binding motifs, and/or the motifs are found at different locations within distinct peptides...
Structural analysis of B-cell epitopes in antibody:protein complexesJens Vindahl Kringelum
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Building 208, DK 2800 Lyngby, Denmark
Mol Immunol 53:24-34. 2013..Our results, in combination with previously findings, give a detailed picture of the B-cell epitope that may be used in development of improved B-cell prediction methods...
Prediction of residues in discontinuous B-cell epitopes using protein 3D structuresPernille Haste Andersen
Center for Biological Sequence Analysis, BioCentrum, Technical University of Denmark, DK-2800 Lyngby, Denmark
Protein Sci 15:2558-67. 2006..Predictions by the DiscoTope method can guide experimental epitope mapping in both rational vaccine design and development of diagnostic tools, and may lead to more efficient epitope identification...
In silico prediction of human pathogenicity in the γ-proteobacteriaMassimo Andreatta
Center for Biological Sequence Analysis, Technical University of Denmark, Kongens Lyngby, Denmark
PLoS ONE 5:e13680. 2010..Bioinformatics-based methods are therefore strongly needed to mine the fast growing number of genome sequences and assess in a rapid and reliable way the pathogenicity of novel bacteria...
CTL epitopes for influenza A including the H5N1 bird flu; genome-, pathogen-, and HLA-wide screeningMingjun Wang
Laboratory of Cellular Immunology, Department of Medical Anatomy, The Panum Institute, University of Copenhagen, Blegdamsvej 3, 2200 Copenhagen N, Denmark
Vaccine 25:2823-31. 2007..To exploit this new potential, a coordinated international effort to analyze the precious source of information represented by rare patients, such as the current victims of bird flu, would be essential...
Broadly immunogenic HLA class I supertype-restricted elite CTL epitopes recognized in a diverse population infected with different HIV-1 subtypesCarina L Pérez
Department of Microbiology, Cell Biology, and Tumor Biology, Karolinska Institutet, and The Swedish Institute of Infectious Disease Control, Stockholm, Sweden
J Immunol 180:5092-100. 2008..Our results have important implications for the validation of potent CTL responses and show that the goal for a vaccine candidate in inducing broadly reactive CTL immune responses is attainable...
No evidence for the use of DIR, D-D fusions, chromosome 15 open reading frames or VH replacement in the peripheral repertoire was found on application of an improved algorithm, JointML, to 6329 human immunoglobulin H rearrangementsLine Ohm-Laursen
Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
Immunology 119:265-77. 2006..An online version 1.0 of JointML is available at http://www.cbs.dtu.dk/services/VDJsolver...
Immune epitope database analysis resource (IEDB-AR)Qing Zhang
Immune Epitope Database and Analysis Resource IEDB AR, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA
Nucleic Acids Res 36:W513-8. 2008..New functionalities have been added to most of the previously implemented tools, and a total of eight new tools were added, including two B-cell epitope prediction tools, four T-cell epitope prediction tools and two analysis tools...
Modeling lipid-sterol bilayers: applications to structural evolution, lateral diffusion, and raftsMartin J Zuckermann
Department of Physics, Simon Fraser University, Burnaby, British Columbia, Canada
Methods Enzymol 383:198-229. 2004
From lanosterol to cholesterol: structural evolution and differential effects on lipid bilayersLing Miao
MEMPHYS, Physics Department, University of Southern Denmark Odense, DK 5230 Odense M, Denmark
Biophys J 82:1429-44. 2002..We also discuss the biological relevance of our results, in particular in the context of membrane domains and rafts...
Sensitivity of NTCP parameter values against a change of dose calculation algorithmCarsten Brink
Radiofysisk Laboratorium, Odense University Hospital, DK 5000 Odense, Denmark
Med Phys 34:3579-86. 2007..Thus, it is important to quote the applied dose calculation algorithm when reporting estimates of NTCP parameters in order to ensure correct use of the models...
