Claus Lundegaard

发表

Immune epitope database analysis resource

Philip E. Bourne, Morten Nielsen, Ole Lund, 2012, Nucleic Acids Res..

Web-based Tools for Vaccine Design

Morten Nielsen, Ole Lund, Søren Brunak, 2002 .

Immune epitope database analysis resource (IEDB-AR)

Qing Zhang, Philip E. Bourne, Morten Nielsen, 2008, Nucleic Acids Res..

Machine learning competition in immunology - Prediction of HLA class I binding peptides.

Harris Papadopoulos, Tomer Hertz, Vladimir Brusic, 2011, Journal of immunological methods.

Recent Trends on QSAR in the Pharmaceutical Perceptions

Mukesh Doble, Alan Talevi, M. Natália D. S. Cordeiro, 2018 .

A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules

Morten Nielsen, John Sidney, Huynh-Hoa Bui, 2006, PLoS Comput. Biol..

CPH MODELS 2.0: X3M A COMPUTER PROGRAM TO EXTRACT 3D MODELS

Morten Nielsen, Ole Lund, Claus Lundegaard, 2002 .

Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan

Morten Nielsen, Ole Lund, Alessandro Sette, 2008, PLoS Comput. Biol..

CPHmodels-3.0—remote homology modeling using structure-guided sequence profiles

Morten Nielsen, Ole Lund, Claus Lundegaard, 2010, Nucleic Acids Res..

Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction

Morten Nielsen, Ole Lund, Claus Lundegaard, 2007, BMC Bioinformatics.

Modelling the Human Immune System by Combining Bioinformatics and Systems Biology Approaches

Morten Nielsen, Ole Lund, Søren Brunak, 2006, Journal of biological physics.

Reliable B Cell Epitope Predictions: Impacts of Method Development and Improved Benchmarking

Morten Nielsen, Ole Lund, Claus Lundegaard, 2012, PLoS Comput. Biol..

PopCover: a method for selecting of peptides with optimal population and pathogen coverage

Morten Nielsen, Ole Lund, Claus Lundegaard, 2010, BCB '10.

‘Query‐by Committee’— An Efficient Method to Select Information‐Rich Data for the Development of Peptide—HLA‐Binding Predictors

Morten Nielsen, Ole Lund, Søren Brunak, 2004, Scandinavian Journal of Immunology.

Modeling the adaptive immune system: predictions and simulations

Morten Nielsen, Ole Lund, Søren Brunak, 2007, Bioinform..

Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods

Morten Nielsen, Hao Zhang, Claus Lundegaard, 2009, Bioinform..

Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method

Morten Nielsen, Ole Lund, Claus Lundegaard, 2007, BMC Bioinformatics.

Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach

Søren Brunak, Morten Nielsen, Ole Lund, 2003, Neural Computation.

Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks

Morten Nielsen, Ole Lund, Søren Brunak, 2003, Mathematical Methods for Protein Structure Analysis and Design.

Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach

Søren Brunak, Morten Nielsen, Ole Lund, 2004, Bioinform..

Immunological Bioinformatics (Computational Molecular Biology)

Ole Lund, Søren Brunak, Claus Lundegaard, 2005 .

NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11

Morten Nielsen, Ole Lund, Claus Lundegaard, 2008, Nucleic Acids Res..

MHC Class I Epitope Binding Prediction Trained on Small Data Sets

Søren Brunak, Morten Nielsen, Ole Lund, 2004, ICARIS.

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

Morten Nielsen, Ole Lund, Claus Lundegaard, 2008, Bioinform..

Immunological bioinformatics

Morten Nielsen, Ole Lund, Søren Brunak, 2005, Computational molecular biology.

Human Leukocyte Antigen (HLA) Class I Restricted Epitope Discovery in Yellow Fewer and Dengue Viruses: Importance of HLA Binding Strength

Morten Nielsen, Ole Lund, Ernesto T. A. Marques, 2011, PloS one.

Meeting abstractPrediction of protein secondary structure at 80% accuracy using a combination of many neural networks

Ole Lund, Søren Brunak, Henrik Bohr, 2000 .

NetTurnP – Neural Network Prediction of Beta-turns by Use of Evolutionary Information and Predicted Protein Sequence Features

Claus Lundegaard, Thomas Nordahl Petersen, Bent Petersen, 2010, PloS one.

CTL epitopes for influenza A including the H5N1 bird flu; genome-, pathogen-, and HLA-wide screening.

Morten Nielsen, Ole Lund, Claus Lundegaard, 2007, Vaccine.

State of the art and challenges in sequence based T-cell epitope prediction

Morten Nielsen, Ole Lund, Claus Lundegaard, 2010, Immunome research.

The peptide-binding specificity of HLA-A*3001 demonstrates membership of the HLA-A3 supertype

Morten Nielsen, Ole Lund, Claus Lundegaard, 2008, Immunogenetics.

The validity of predicted T-cell epitopes.

Morten Nielsen, Ole Lund, Claus Lundegaard, 2006, Trends in biotechnology.

Prediction of epitopes using neural network based methods.

Morten Nielsen, Ole Lund, Claus Lundegaard, 2011, Journal of immunological methods.

Major histocompatibility complex class I binding predictions as a tool in epitope discovery

Morten Nielsen, Ole Lund, Claus Lundegaard, 2010, Immunology.

MHC Class II epitope predictive algorithms

Morten Nielsen, Ole Lund, Claus Lundegaard, 2010, Immunology.

NetMHCcons: a consensus method for the major histocompatibility complex class I predictions

Morten Nielsen, Ole Lund, Claus Lundegaard, 2011, Immunogenetics.

NetCTLpan: pan-specific MHC class I pathway epitope predictions

Morten Nielsen, Thomas Stranzl, Claus Lundegaard, 2010, Immunogenetics.