2014 (9) 2013 (8) 2012 (13) 2011 (8) 2010 (18) 2009 (7) 2008 and before (28) Books (1)


    Uncovering the Peptide-Binding Specificities of HLA-C: A General Strategy To Determine the Specificity of Any MHC Class I Molecule
    Rasmussen M, Harndahl M, Stryhn A, Boucherma R, Nielsen LL, Lemonnier FA, Nielsen M, Buus S
    Journal of Immunology, 2014
    Characterization of binding specificities of bovine leucocyte class I molecules: impacts for rational epitope discovery
    Hansen AM, Rasmussen M, Svitek N, Harndahl M, Golde WT, Barlow J, Nene V, Buus S, Nielsen M
    Immunogenetics, 2014 Sep 4, 2014
    NetMHCstab - predicting stability of peptide-MHC-I complexes; impacts for cytotoxic T lymphocyte epitope discovery
    Jørgensen KW, Rasmussen M, Buus S, Nielsen M
    Immunology. 2014 Jan;141(1):18-26., 2014
    MR1-restricted MAIT cells display ligand discrimination and pathogen selectivity through distinct T cell receptor usage
    Gold MC, McLaren JE, Reistetter JA, Smyk-Pearson S, Ladell K, Swarbrick GM, Yu YY, Hansen TH, Lund O, Nielsen M, Gerritsen B, Kesmir C, Miles JJ, Lewinsohn DA, Price DA, Lewinsohn DM
    Journal of Experimental Medicine. 2014 Jul 28;211(8):1601-10., 2014
    NetTepi: an integrated method for the prediction of T cell epitopes
    Trolle T, Nielsen M
    Immunogenetics. 2014 Aug;66(7-8):449-56., 2014
    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 N, Hansen AM, Steinaa L, Saya R, Awino E, Nielsen M, Buus S, Nene V
    Veterinary Research. 2014 Apr 28;45:50., 2014
    Identification and HLA-Tetramer-Validation of Human CD4+ and CD8+ T Cell Responses against HCMV Proteins IE1 and IE2.
    Braendstrup P, Mortensen BK, Justesen S, Osterby T, Rasmussen M, Hansen AM, Christiansen CB, Hansen MB, Nielsen M, Vindeløv L, Buus S, Stryhn A
    PLoS One. 2014 Apr 23;9(4):e94892., 2014
    Improved pan-specific MHC class I peptide-binding predictions using a novel representation of the MHC-binding cleft environment.
    Carrasco Pro S, Zimic M, Nielsen M
    Tissue Antigens. 2014 Feb;83(2):94-100., 2014
    Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions.
    Kim Y, Sidney J, Buus S, Sette A, Nielsen M, Peters B
    BMC Bioinformatics, 2014


    Evaluation of peptide selection approaches for epitope-based vaccine design
    Schubert B, Lund O, Nielsen M
    Tissue Antigens, 82: 243–251. doi: 10.1111/tan.12199, 2013
    Relevant URL
    ATAF1 transcription factor directly regulates abscisic acid biosynthetic gene NCED3 in Arabidopsis thaliana.
    Jensen MK, Lindemose S, Masi Fd, Reimer JJ, Nielsen M, Perera V, Workman CT, Turck F, Grant MR, Mundy J, Petersen M, Skriver K
    FEBS Open Bio 3:321-7 doi:10.1016/j.fob.2013.07.006, 2013
    NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ
    Karosiene E, Rasmussen M, Blicher T, Lund O, Buus S, Nielsen M
    Immunogenetics 65(10):711-24 doi:10.1007/s00251-013-0720-y, 2013
    MHCcluster, a method for functional clustering of MHC molecules
    Thomsen MCF, Lundegaard C, Buus S, Lund O, Nielsen M
    Immunogenetics 65(9):655-65 doi:10.1007/s00251-013-0714-9, 2013
    Relevant URL
    SigniSite: Identification of residue-level genotype-phenotype correlations in protein multiple sequence alignments
    Jessen L, Hoof I, Lund O, Nielsen M
    Nucleic Acids Research 2013; doi: 10.1093/nar/gkt497, 2013
    Relevant URL
    MISTIC: mutual information server to infer coevolution
    Simonetti FL, Teppa E, Chernomoretz A, Nielsen M, Buslje CM
    Nucleic Acids Research. (2013), 2013
    Relevant URL
    In silico peptide-binding predictions of passerine MHC class I reveal similarities across distantly related species, suggesting convergence on the level of protein function
    Follin E, Karlsson M, Lundegaard C, Nielsen M, Wallin S, Paulsson K, Westerdahl H
    Immunogenetics 65(4):299-311 doi:10.1007/s00251-012-0676-3, 2013
    Bioinformatics Identification of Antigenic Peptide: Predicting the Specificity of Major MHC Class I and II Pathway Players
    Lund O, Karosiene E, Lundegaard C, Larsen MV, Nielsen M
    Methods in Molecular Biology . 960:247-60 doi:10.1007/978-1-62703-218-6_19, 2013


    Structural analysis of B-cell epitopes in antibody:protein complexes.
    Kringelum JV, Nielsen M, Padkjær SB, Lund O
    Molecular Immunology 2013 Jan;53(1-2):24-34, 2012
    Characterization of HIV-specific CD4+ T cell responses against peptides selected with broad population and pathogen coverage.
    Buggert M, Norström MM, Czarnecki C, Tupin E, Luo M, Gyllensten K, Sönnerborg A, Lundegaard C, Lund O, Nielsen M, Karlsson AC
    PLoS One. 2012;7(7):e39874, 2012
    The cancer exome generated by alternative mRNA splicing dilutes predicted HLA class I epitope density.
    Stranzl T, Larsen MV, Lund O, Nielsen M, Brunak S
    PLoS One. 2012;7(9):e38670, 2012
    Reliable B cell epitope predictions: impacts of method development and improved benchmarking.
    Kringelum JV, Lundegaard C, Lund O, Nielsen M
    PLoS Comput Biol. 2012 Dec;8(12):e1002829., 2012
    Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach
    Andreatta M, Lund O, Nielsen M
    Bioinformatics 29(1):8-14 doi:10.1093/bioinformatics/bts621, 2012
    Relevant URL
    Disentangling evolutionary signals: conservation, specificity determining positions and coevolution. Implication for catalytic residue prediction
    Teppa E, Wilkins AD, Nielsen M, Marino Buslje C
    BMC Bioinformatics 13:235 doi:10.1186/1471-2105-13-235, 2012
    Identification of peptides from foot-and-mouth disease virus structural proteins bound by class I swine leukocyte antigen (SLA) alleles, SLA-1*0401 and SLA-2*0401
    Pedersen LE, Harndahl M, Nielsen M, Patch JR, Jungersen G, Buus S, Golde WT
    Anim. Genet. 44(3):251-8 doi:10.1111/j.1365-2052.2012.02400.x, 2012
    Immune epitope database analysis resource
    Kim Y, Ponomarenko J, Zhu Z, Tamang D, Wang P, Greenbaum J, Lundegaard C, Sette A, Lund O, Bourne PE, Nielsen M, Peters B
    PubMed, 2012
    Relevant URL
    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 depletion
    Thomsen MCF, Nielsen M
    Oxford Journals, 2012
    Relevant URL
    Peptide-MHC class I stability is a better predictor than peptide affinity of CTL immunogenicity
    Harndahl M, Rasmussen M, Roder G, Pedersen ID, Sørensen M, Nielsen M, Buus S
    Wiley, 2012
    Relevant URL
    Designing bovine T cell vaccines via reverse immunology
    Nene V, Svitek N, Toye P, Golde WT, Barlow J, Harndahl M, Buus S, Nielsen M
    Science Direct, 2012
    Relevant URL
    Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlign
    Andreatta M, Nielsen M
    Immunology (publication ahead of print), 2012
    Predictions versus high- throughput experiments in T-cell epitope discovery: competition or synergy?
    Lundegaard C, Lund O, Nielsen M
    Expert Rev. Vaccines 11(1), 43–54 (2012), 2012


    Human leukocyte antigen (HLA) class I restricted epitope discovery in yellow fever and dengue viruses: importance of HLA binding strength
    Lund O, Nascimento EJ, Maciel M Jr, Nielsen M, Larsen MV, Lundegaard C, Harndahl M, Lamberth K, Buus S, Salmon J, August TJ, Marques ET Jr
    PLoS One. 2011;6(10):e26494, 2011
    Induction of foot-and-mouth disease virus (FMDV) specific cytotoxic T cell killing by vaccination.
    Patch JR, Pedersen LE, Toka FN, Moreas M, Grubman MJ, Nielsen M, Jungersen G, Buus S, Golde WT
    Clin Vaccine Immunol.; 18(2):280-8., 2011
    Porcine major histocompatibility complex (MHC) class I molecules and analysis of their peptide-binding specificities.
    Pedersen LE, Golde WT, Lund O, Nielsen M, Buus S
    Immunogenetics, 2011
    Machine learning competition in immunology - Prediction of HLA class I binding peptides
    Zhang GL6, Ansari HR, Bradley P, Cawley GC, Hertz T, Hu X, Jojic N, Kim Y, Kohlbacher O, Lund O, Lundegaard C, Magaret CA, Nielsen M, Papadopoulos H, Raghava GP, Tal VS, Xue LC, Yanover C, Zhu S, Rock MT, Crowe JE Jr, Panayiotou C, Polycarpou MM, Duch W, Brusic V
    J Immunol Methods., 2011
    Human Leukocyte Antigen (HLA) Class I Restricted Epitope Discovery in Yellow Fewer and Dengue Viruses: Importance of HLA Binding Strength.
    Lund O4, Nascimento EJM, Maciel M Jr, Nielsen M, Larsen MV, Lundegaard C, Harndahl M, Lamberth K, Buus S, Salmon J, August TJ, Marques Jr ETA
    PLoS ONE 6(10): e26494. doi:10.1371/journal.pone.0026494, 2011
    NNAlign: A Web-Based Prediction Method Allowing Non-Expert End-User Discovery of Sequence Motifs in Quantitative Peptide Data
    Andreatta M, Schafer-Nielsen C, Lund O, Buus S, Nielsen M
    PLoS ONE 6(11): e26781. doi:10.1371/journal.pone.0026781, 2011
    Designing bovine T-cell vaccines via reverse immunology
    Nene T, Svitek N, Toye P, Golde WT, Barlow J, Buus S, Nielsen M
    In presss Ticks and Tick-Borne Diseases,, 2011
    NetMHCcons: a consensus method for the major histocompatibility complex class I predictions
    Karosiene E, Lundegaard C, Lund O, Nielsen M
    Immunogenetics, 2011
    Relevant URL


    HLA class I binding 9mer peptides from influenza A virus induce CD4 T cell responses
    Wang M, Larsen MV, Nielsen M, Harndahl M, Justesen S, Dziegiel MH, Buus S, Tang ST, Lund O, Claesson MH
    PLoS ONE 5(5):e10533 doi:10.1371/journal.pone.0010533, 2010
    Identification of CD8+ T cell epitopes in the West Nile virus polyprotein by reverse-immunology using NetCTL
    Larsen MV, Lelic A, Parsons R, Nielsen M, Hoof I, Lamberth K, Loeb MB, Buus S, Bramson J, Lund O
    PLoS ONE 5(9):e12697 doi:10.1371/journal.pone.0012697, 2010
    Structural Properties of MHC Class II Ligands, Implications for the Prediction of MHC Class II Epitopes
    Jørgensen KW, Buus S, Nielsen M
    PLoS One, 2010
    Read article
    Induction of foot-and-mouth disease virus (FMDV) specific cytotoxic T cell killing by vaccination
    Patch JR, Pedersen LE, Toka FN, Moreas M, Grubman MJ, Nielsen M, Jungersen G, Buus S, Golde WT
    Clin. Vaccine Immunol. 18(2):280-8 doi:10.1128/CVI.00417-10, 2010
    In Silico Prediction of Human Pathogenicity in the γ-Proteobacteria
    Andreatta M, Nielsen M, Møller Aarestrup F, Lund O
    PLoS ONE 5(10):e13680 doi:10.1371/journal.pone.0013680, 2010
    Read article
    Peptide binding predictions for HLA DR, DP and DQ molecules
    Wang P, Sidney J, Kim Y, Sette A, Lund O, Nielsen M, Peters B
    BMC Bioinformatics 11:568 doi:10.1186/1471-2105-11-568, 2010
    HLArestrictor-a tool for patient-specific predictions of HLA restriction elements and optimal epitopes within peptides
    Erup Larsen M, Kloverpris H, Stryhn A, Koofhethile CK, Sims S, Ndung\'u T, Goulder P, Buus S, Nielsen M
    Immunogenetics 63(1):43-55 doi:10.1007/s00251-010-0493-5, 2010
    NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure
    Nielsen M, Justesen S, Lund O, Lundegaard C, Buus S
    Immunome Res 6:9 doi:10.1186/1745-7580-6-9, 2010
    State of the art and challenges in sequence based T-cell epitope prediction
    Lundegaard C, Hoof I, Lund O, Nielsen M
    Immunome Res:S3 doi:10.1186/1745-7580-6-S2-S3, 2010
    Networks of High Mutual Information Define the Structural Proximity of Catalytic Sites: Implications for Catalytic Residue Identification
    Buslje CM, Teppa E, Doménico TD, Delfino JM, Nielsen M
    PLoS Comput. Biol. 6(11):e1000978 doi:10.1371/journal.pcbi.1000978, 2010
    Read article
    CPHmodels-3.0--remote homology modeling using structure-guided sequence profiles
    Nielsen M, Lundegaard C, Lund O, Petersen TN
    Nucleic Acids Research. 38:W576-81 doi:10.1093/nar/gkq535, 2010
    Major histocompatibility complex class I binding predictions as a tool in epitope discovery
    Lundegaard C, Lund O, Buus S, Nielsen M
    Immunology 130(3):309-18 doi:10.1111/j.1365-2567.2010.03300.x, 2010
    MHC Class II epitope predictive algorithms
    Nielsen M, Lund O, Buus S, Lundegaard C
    Immunology 130(3):319-28 doi:10.1111/j.1365-2567.2010.03268.x, 2010
    NetCTLpan: pan-specific MHC class I pathway epitope predictions
    Stranzl T, Larsen MV, Lundegaard C, Nielsen M
    Immunogenetics 62(6):357-68 doi:10.1007/s00251-010-0441-4, 2010
    Read abstract
    The Degree of Predicted Minor Histocompatibility Antigen Mismatch Correlates with Poorer Clinical Outcome of Non-myeloablative Allogeneic Hematopoietic Cell Transplantation
    Larsen ME, Kornblit B, Larsen MV, Masmas TN, Nielsen M, Thiim M, Garred P, Stryhn A, Lund O, Buus S, Vindelov L
    Biol. Blood Marrow Transplant. 16(10):1370-81 doi:10.1016/j.bbmt.2010.03.022, 2010
    Interdisciplinary Analysis of HIV-Specific CD8+ T Cell Responses against Variant Epitopes Reveals Restricted TCR Promiscuity
    Hoof I, Pérez CL, Buggert M, Gustafsson RK, Nielsen M, Lund O, Karlsson AC
    The Journal of Immunology. 184(9):5383-91 doi:10.4049/jimmunol.0903516, 2010
    Limitations of Ab Initio Predictions of Peptide Binding to MHC Class II Molecules
    Zhang H, Wang P, Papangelopoulos N, Xu Y, Sette A, Bourne PE, Lund O, Ponomarenko J, Nielsen M, Peters B
    PLoS ONE 5(2):e9272 doi:10.1371/journal.pone.0009272, 2010
    The MHC motif viewer: a visualization tool for MHC binding motifs
    Rapin N, Hoof I, Lund O, Nielsen M
    Curr Protoc Immunol:Unit 18.17 doi:10.1002/0471142735.im1817s88, 2010


    The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding
    Zhang H, Lund O, Nielsen M
    Bioinformatics 25(10):1293-9 doi:10.1093/bioinformatics/btp137, 2009
    Correction for phylogeny, small number of observations and data redundancy improves the identification of coevolving amino acid pairs using mutual information
    Buslje CM, Santos J, Delfino JM, Nielsen M
    Bioinformatics 25(9):1125-31 doi:10.1093/bioinformatics/btp135, 2009
    Systematic Characterization of Cellular Localization and Expression Profiles of Proteins Containing MHC Ligands
    Juncker AS, Larsen MV, Weinhold N, Nielsen M, Brunak S, Lund O
    /PLoS ONE/ ; 4(10): e7448. doi:10.1371/journal.pone.0007448, 2009
    An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.
    Nielsen M, Lund O
    BMC bioinformatics, 2009
    A generic method for assignment of reliability scores applied to solvent accessibility predictions
    Petersen B, Petersen TN, Andersen P, Nielsen M, Lundegaard C
    BMC Struct. Biol. 9:51 doi:10.1186/1472-6807-9-51, 2009
    Pan-specific MHC class I predictors: A benchmark of HLA class I pan-specific prediction methods
    Zhang H, Lundegaard C, Nielsen M
    Bioinformatics 25(1):83-9 doi:10.1093/bioinformatics/btn579, 2009
    NetMHCpan, a method for MHC class I binding prediction beyond humans.
    Hoof I, Peters B, Sidney J, Pedersen LE, Sette A, Lund O, Buus S, Nielsen M
    Immunogenetics 61(1):1-13 doi:10.1007/s00251-008-0341-z, 2009


    The peptide-binding specificity of HLA-A*3001 demonstrates membership of the HLA-A3 supertype
    Lamberth K, Røder G, Harndahl M, Nielsen M, Lundegaard C, Schafer- Nielsen C, Lund O, Buus S
    Immunogenetics 60(11):633-43 doi:10.1007/s00251-008-0317-z, 2008
    MHC motif viewer
    Rapin N, Hoof I, Lund O, Nielsen M
    Immunogenetics 60(12):759-65 doi:10.1007/s00251-008-0330-2, 2008
    Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan
    Nielsen M, Lundegaard C, Blicher T, Peters B, Sette A, Justesen S, Buus S, Lund O
    PLoS Comput. Biol. 4(7):e1000107 doi:10.1371/journal.pcbi.1000107, 2008
    Immune epitope database analysis resource (IEDB-AR)
    Zhang Q, Wang P, Kim Y, Haste-Andersen P, Beaver J, Bourne PE, Bui HH, Buus S, Frankild S, Greenbaum J, Lund O, Lundegaard C, Nielsen M, Ponomarenko J, Sette A, Zhu Z, Peters B
    Nucleic Acids Res. 36:W513-8 doi:10.1093/nar/gkn254, 2008
    NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11
    Lundegaard C, Lamberth K, Harndahl M, Buus S, Lund O, Nielsen M
    Nucleic Acids Res. 36:W509-12 doi:10.1093/nar/gkn202, 2008
    Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers
    Lundegaard C, Lund O, Nielsen M
    Bioinformatics 24(11):1397-8 doi:10.1093/bioinformatics/btn128, 2008
    Humans with chimpanzee-like major histocompatibility complex-specificities control HIV-1 infection
    Hoof I, Kesmir C, Lund O, Nielsen M
    AIDS 22(11):1299-303 doi:10.1097/QAD.0b013e328302f39f, 2008
    Amino acid similarity accounts for T cell cross-reactivity and for \\\'holes\\\' in the T cell repertoire
    Frankild S, de Boer RJ, Lund O, Nielsen M, Kesmir C
    PLoS ONE 3(3):e1831 doi:10.1371/journal.pone.0001831, 2008
    Broadly Immunogenic HLA Class I Supertype-Restricted Elite CTL Epitopes Recognized in a Diverse Population Infected with Different HIV-1 Subtypes
    Pérez CL, Larsen MV, Gustafsson R, Norström MM, Atlas A, Nixon DF, Nielsen M, Lund O, Karlsson AC
    The Journal of Immunology. 180(7):5092-100, 2008


    Modeling the adaptive immune system: predictions and simulations
    Lundegaard C, Lund O, Kesmir C, Brunak S, Nielsen M
    Bioinformatics 23(24):3265-75, 2007
    Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction
    Larsen MV, Lundegaard C, Lamberth K, Buus S, Lund O, Nielsen M
    BMC Bioinformatics 8:424, 2007
    Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
    Nielsen M, Lundegaard C, Lund O
    BMC Bioinformatics 8:238, 2007
    NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence
    Nielsen M, Lundegaard C, Blicher T, Lamberth K, Harndahl M, Justesen S, Roder G, Peters B, Sette A, Lund O, Buus S
    PLoS ONE 2(8):e796, 2007


    TAP-Independent MHC Class I Presentation
    Larsen MV, Nielsen M, Weinzierl A, Lund O
    Curr Immunol Rev, 2, 233-245, 2006
    The validity of predicted T-cell epitopes
    Lundegaard C, Nielsen M, Lund O
    Trends Biotechnol. 24(12):537-8, 2006
    CTL epitopes for influenza A including the H5N1 bird flu; genome-, pathogen-, and HLA-wide screening
    Wang M, Lamberth K, Harndahl M, Roder G, Stryhn A, Larsen MV, Nielsen M, Lundegaard C, Tang ST, Dziegiel MH, Rosenkvist J, Pedersen AE, Buus S, Claesson MH, Lund O
    Vaccine 25(15):2823-31, 2006
    Prediction of residues in discontinuous B-cell epitopes using protein 3D structures
    Andersen PH, Nielsen M, Lund O
    Protein Sci. 15(11):2558-67, 2006
    Improved method for predicting linear B-cell epitopes
    Larsen JE, Lund O, Nielsen M
    Immunome Res 2:2, 2006


    An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport
    Larsen MV, Lundegaard C, Lamberth K, Buus S, Brunak S, Lund O, Nielsen M
    Eur. J. Immunol. 35(8):2295-303, 2005
    The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage
    Nielsen M, Lundegaard C, Lund O, Kesmir C
    Immunogenetics 57:33-41, 2005


    Definition of supertypes for HLA molecules using clustering of specificity matrices
    Lund O, Nielsen M, Kesmir C, Pedersen AG, Lundegaard C, Worning P, Sylvester-Hvid C, Lamberth K, Roder G, Justesen S, Buus S, Brunak S
    Immunogenetics 55(12):797-810, 2004
    MHC Class I Epitope Binding Prediction Trained on Small Data Sets
    Lundegaard C, Nielsen M, Lamberth K, Worning P, Sylvester-Hvid C, Søren Buus, Brunak S, Lund O
    Lecture Notes in Computer Science, vol 3239, proceeding of ICARIS 2004, 217-225, 2004
    Abstract from Springer-Verlag
    SARS CTL vaccine candidates; HLA supertype-, genome-wide scanning and biochemical validation
    Sylvester-Hvid C, Nielsen M, Lamberth K, Roder G, Justesen S, Lundegaard C, Worning P, Thomadsen H, Lund O, Brunak S, Buus S
    Tissue Antigens 63(5):395-400, 2004
    Improved prediction of MHC class I and II epitopes using a novel Gibbs sampling approach
    Nielsen M, Lundegaard C, Worning P, Sylvester-Hvid C, Lamberth K, Buus S, Brunak S, Lund O
    Bioinformatics 20(9):1388-97, 2004


    Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach
    Christensen JK, Lamberth K, Nielsen M, Lundegaard C, Worning P, Lauemøller SL, Buus S, Brunak S, Lund O
    Neural Comput 15(12):2931-42, 2003
    Reliable prediction of T-cell epitopes using neural networks with novel sequence representations
    Nielsen M, Lundegaard C, Worning P, Lauemøller SL, Lamberth K, Buus S, Brunak S, Lund O
    Protein Sci. 12(5):1007-17, 2003


    Web-based Tools for Vaccine Design
    Lund O, Nielsen M, Kesmir C, Christensen JK, Lundegaard C, Worning P, Brunak S
    HIV Molecular Immunology, pp. 45-51, 2002


    Prediction of protein secondary structure at 80% accuracy
    Petersen TN, Lundegaard C, Nielsen M, Bohr H, Brunak S, Gippert GP, Lund O
    Proteins 41(1):17-20, 2000


    Immunological Bioinformatics
    Lund O, Nielsen M, Lundegaard C, Kesmir C, Brunak S
    MIT Press, 312 pages, 2005

2014 (9) 2013 (8) 2012 (13) 2011 (8) 2010 (18) 2009 (7) 2008 and before (28) Books (1)