Magnus Haraldson Høie

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paolo marcatiliHead of Antibody Design, Novo NordiskVerified email at novonordisk.com
Morten NielsenDepartment of Health Technology, The Technical University ofVerified email at cbs.dtu.dk
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkVerified email at bio.ku.dk
Bent PetersenSenior Researcher, PhD, Globe institute, University of CopenhagenVerified email at sund.ku.dk
Bjoern PetersProfessor at La Jolla Institute for ImmunologyVerified email at lji.org
Kresten Lindorff-LarsenLinderstrøm-Lang Centre for Protein Science, Department of Biology, University of CopenhagenVerified email at bio.ku.dk
Charlotte DeaneProfessor of Structural Bioinformatics, Oxford UniversityVerified email at stats.ox.ac.uk
Alissa M. HummerUniversity of OxfordVerified email at stats.ox.ac.uk
Tobias Hegelund OlsenUniversity of OxfordVerified email at stats.ox.ac.uk
Egon Bech HansenProfessor, DTUVerified email at food.dtu.dk
Alexander K BuellProfessor of Protein Biophysics, Technical University of Denmark, DTUVerified email at dtu.dk

Magnus Haraldson Høie

Other namesMagnus Høie, MH Høie

Technical University of Denmark

Verified email at dtu.dk - Homepage

Deep-Learning Immunoinformatics


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NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning MH Høie, EN Kiehl, B Petersen, M Nielsen, O Winther, H Nielsen, ... Nucleic acids research 50 (W1), W510-W515, 2022	178	2022
BepiPred‐3.0: Improved B‐cell epitope prediction using protein language models JN Clifford, MH Høie, S Deleuran, B Peters, M Nielsen, P Marcatili Protein Science 31 (12), e4497, 2022	120	2022
Predicting and interpreting large-scale mutagenesis data using analyses of protein stability and conservation MH Høie, M Cagiada, AHB Frederiksen, A Stein, K Lindorff-Larsen Cell reports 38 (2), 2022	97	2022
DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations MH Høie, FS Gade, JM Johansen, C Würtzen, O Winther, M Nielsen, ... Frontiers in Immunology 15, 1322712, 2024	41	2024
AntiFold: Improved antibody structure design using inverse folding M Høie, A Hummer, T Olsen, M Nielsen, C Deane NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023	12	2023
Comparative structure analysis of the multi-domain, cell envelope proteases of lactic acid bacteria LF Christensen, MH Høie, CH Bang-Berthelsen, P Marcatili, EB Hansen Microorganisms 11 (9), 2256, 2023	10	2023
AntiFold: Improved antibody structure-based design using inverse folding MH Høie, A Hummer, TH Olsen, B Aguilar-Sanjuan, M Nielsen, ... arXiv preprint arXiv:2405.03370, 2024	7	2024
Widespread amyloidogenicity potential of multiple myeloma patient-derived immunoglobulin light chains R Sternke-Hoffmann, T Pauly, RK Norrild, J Hansen, F Tucholski, ... BMC biology 21 (1), 21, 2023	4	2023
AntiFold: Improved antibody structure design using inverse folding AM Hummer, MH Høie, TH Olsen, M Nielsen, CM Deane NeurIPS Machine Learning for Structural Biology Workshop, 2023	1	2023
In Silico Tools for Predicting Novel Epitopes C Barra, JB Nilsson, A Saksager, I Carri, S Deleuran, HM Garcia Alvarez, ... Intracellular Pathogens: Methods and Protocols, 245-280, 2024		2024
AI in antibody design MH Høie DTU Health Technology, 2024		2024
In Silico Tools for Predicting Novel Epitopes: Methods and Protocols CB Quaglia, JB Nilsson, A Saksager, I Carri, S Deleuran, HMG Alvarez, ... Intracellular Pathogens, 245-280, 2024		2024

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