Pierre Dönnes

发表

Integrated modeling of the major events in the MHC class I antigen processing pathway

P. Dönnes, O. Kohlbacher, Pierre Dönnes, 2005, Protein science : a publication of the Protein Society.

Clinicogenomic factors of biotherapy immunogenicity in autoimmune disease: A prospective multicohort study of the ABIRISK consortium

X. Montalban, P. Dönnes, H. Hartung, 2020, PLoS medicine.

Machine Learning Techniques for Personalised Medicine Approaches in Immune-Mediated Chronic Inflammatory Diseases: Applications and Challenges

P. Dönnes, E. Jury, C. Ciurtin, 2021, Frontiers in Pharmacology.

WIPI proteins: essential PtdIns3P effectors at the nascent autophagosome

P. Dönnes, O. Kohlbacher, T. Proikas-Cezanne, 2015, Journal of Cell Science.

Barrier Properties and Transcriptome Expression in Human iPSC‐Derived Models of the Blood–Brain Barrier

H. Zetterberg, Maryam Clausen, Gabriella Brolén, 2018, Stem cells.

Protein interaction, monocyte toxicity and immunogenic properties of cerium oxide crystals with 5% or 14% gadolinium, cobalt oxide and iron oxide nanoparticles – an interdisciplinary approach

K. Uvdal, P. Dönnes, S. Ljunggren, 2021, Nanotoxicology.

Disease-associated and patient-specific immune cell signatures in juvenile-onset systemic lupus erythematosus: patient stratification using a machine-learning approach

P. Dönnes, D. Isenberg, H. Peckham, 2020, The Lancet Rheumatology.

Clinical practice of analysis of anti-drug antibodies against interferon beta and natalizumab in multiple sclerosis patients in Europe: A descriptive study of test results

X. Montalban, P. Dönnes, H. Hartung, 2017, PloS one.

Fluorescence-based imaging of autophagy progression by human WIPI protein detection.

P. Dönnes, O. Kohlbacher, T. Proikas-Cezanne, 2015, Methods.

Plasma profiling reveals human fibulin-1 as candidate marker for renal impairment.

M. Uhlén, P. Nilsson, J. Schwenk, 2011, Journal of proteome research.

Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A

C. Königs, P. Dönnes, S. Lacroix-Desmazes, 2019, PloS one.

Monocyte NOTCH2 expression predicts IFN-β immunogenicity in multiple sclerosis patients.

P. Dönnes, B. Hemmer, Karel Medek, 2018, JCI insight.

Incidence and risk factors for adalimumab and infliximab anti-drug antibodies in rheumatoid arthritis: A European retrospective multicohort analysis.

P. Dönnes, C. Wijbrandts, P. Tak, 2019, Seminars in arthritis and rheumatism.

A Mathematical Framework for the Selection of an Optimal Set of Peptides for Epitope-Based Vaccines

Oliver Kohlbacher, Pierre Dönnes, Nora C. Toussaint, 2008, PLoS Comput. Biol..

FRED—a framework for T-cell epitope detection

Oliver Kohlbacher, Magdalena Feldhahn, Philipp Thiel, 2009, Bioinform..

Prediction of MHC class I binding peptides, using SVMHC

Arne Elofsson, Pierre Dönnes, P. Dönnes, 2002, BMC Bioinformatics.

Support vector machine-based prediction of MHC-binding peptides.

Pierre Dönnes, Pierre Dönnes, 2007, Methods in molecular biology.

Serum Metabolomic Signatures Can Predict Subclinical Atherosclerosis in Patients With Systemic Lupus Erythematosus.

P. Dönnes, A. Nicolaides, M. Griffin, 2021, Arteriosclerosis, thrombosis, and vascular biology.

Predicting Protein Subcellular Localization: Past, Present, and Future

Pierre Dönnes, Annette Höglund, P. Dönnes, 2004, Genomics, proteomics & bioinformatics.

Sequence analysis MultiLoc : prediction of protein subcellular localization using N-terminal targeting sequences , sequence motifs and amino acid composition

P. Dönnes, O. Kohlbacher, Annette Höglund, 2006 .

Using N-terminal targeting sequences, amino acid composition, and sequence motifs for predicting protein subcellular localizations

Oliver Kohlbacher, Pierre Dönnes, Torsten Blum, 2005, German Conference on Bioinformatics.

Longitudinal analysis of anti-drug antibody development in multiple sclerosis patients treated with interferon beta-1a (Rebif™) using B cell receptor repertoire analysis

P. Dönnes, B. V. Schaik, A. V. Kampen, 2022, Journal of Neuroimmunology.

MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition

Annette Höglund, Torsten Blum, Pierre Dönnes, 2006, Bioinform..

Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules

Oliver Kohlbacher, Pierre Dönnes, Jochen Supper, 2005, ICAPR.

Blood metabolomic and transcriptomic signatures stratify patient subgroups in multiple sclerosis according to disease severity

K. Waddington, E. Jury, I. Pineda-Torra, 2024, iScience.

Computational Immunology : from MHC-peptide Binding to Immunotherapy

Pierre Dönnes, 2006 .

Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ

P. Dönnes, A. Fogdell-Hahn, K. Waddington, 2020, Frontiers in Immunology.

Methotrexate and BAFF interaction prevents immunization against TNF inhibitors

P. Dönnes, X. Mariette, P. Roques, 2018, Annals of the rheumatic diseases.

Patients with multiple sclerosis who develop immunogenicity to interferon-beta have distinct transcriptomic and proteomic signatures prior to treatment which are associated with disease severity.

K. Waddington, E. Jury, I. Pineda-Torra, 2024, Clinical immunology.

Detection and kinetics of persistent neutralizing anti-interferon-beta antibodies in patients with multiple sclerosis. Results from the ABIRISK prospective cohort study

X. Montalban, P. Dönnes, H. Hartung, 2019, Journal of Neuroimmunology.

Monocyte NOTCH 2 expression predicts IFN-b immunogenicity in multiple sclerosis patients

P. Dönnes, B. Hemmer, E. Havrdová, 2018 .