Wouter Boomsma

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2 makale

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Kresten Lindorff-LarsenLinderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagenbio.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Thomas HamelryckProfessor in Machine Learning, BIO/DIKU, University of Copenhagenbio.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Jes FrellsenAssociate Professor, Technical University of Denmark (DTU)dtu.dk üzerinde doğrulanmış e-posta adresine sahip
Jesper Ferkinghoff-BorgAssociate Professor, Research Director, Novo Nordisk A/Snovonordisk.com üzerinde doğrulanmış e-posta adresine sahip
Pengfei TianPrincipal Scientist, Lila Sciencesnih.gov üzerinde doğrulanmış e-posta adresine sahip
Birthe B. KragelundProfessor of protein biophysics, University of Copenhagenbio.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Simon OlssonChalmers University of Technologychalmers.se üzerinde doğrulanmış e-posta adresine sahip
Kanti MardiaSENIOR RESARCH PROFESSOR ,UNIVERSITY OF LEEDS AND UNIVERSITY OF OXFORDleeds.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Tim HarderResearch Scientist at Philips Researchphilips.com üzerinde doğrulanmış e-posta adresine sahip
Christian AndreettaUniv. of Copenhagen, Denmark, and Uni Computing, Uni Research, Norwayuni.no üzerinde doğrulanmış e-posta adresine sahip
Kristoffer Enøe JohanssonDepartment of Biology, University of Copenhagenbio.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of Copenhagendi.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Yong WangZhejiang Universityzju.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Eske WillerslevCentre for GeoGenetics, University of Copenhagensnm.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Kasper MunchBioinformatics Research Centre, Aarhus Universitydaimi.au.dk üzerinde doğrulanmış e-posta adresine sahip
Rasmus NielsenUC Berkeley, University of Copenhagensund.ku.dk üzerinde doğrulanmış e-posta adresine sahip
Taco CohenQualcomm AI Researchqti.qualcomm.com üzerinde doğrulanmış e-posta adresine sahip
Max WellingCAIO CuspAI & Professor Machine Learning, University of Amsterdamuva.nl üzerinde doğrulanmış e-posta adresine sahip
Maurice WeilerUniversity of Amsterdamuva.nl üzerinde doğrulanmış e-posta adresine sahip
Mario GeigerMITmit.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Wouter Boomsma

Professor, Department of Computer Science, University of Copenhagen

di.ku.dk üzerinde doğrulanmış e-posta adresine sahip

Machine learning Structural Bioinformatics Biomolecular simulations


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
3d steerable cnns: Learning rotationally equivariant features in volumetric data M Weiler, M Geiger, M Welling, W Boomsma, TS Cohen Advances in Neural information processing systems 31, 2018	595	2018
Ancient biomolecules from deep ice cores reveal a forested southern Greenland E Willerslev, E Cappellini, W Boomsma, R Nielsen, MB Hebsgaard, ... Science 317 (5834), 111-114, 2007	563	2007
Statistical assignment of DNA sequences using Bayesian phylogenetics K Munch, W Boomsma, JP Huelsenbeck, E Willerslev, R Nielsen Systematic biology 57 (5), 750-757, 2008	221	2008
A generative, probabilistic model of local protein structure W Boomsma, KV Mardia, CC Taylor, J Ferkinghoff-Borg, A Krogh, ... Proceedings of the National Academy of Sciences 105 (26), 8932-8937, 2008	212	2008
Combining experiments and simulations using the maximum entropy principle W Boomsma, J Ferkinghoff-Borg, K Lindorff-Larsen PLoS computational biology 10 (2), e1003406, 2014	203	2014
Learning meaningful representations of protein sequences NS Detlefsen, S Hauberg, W Boomsma Nature communications 13 (1), 1914, 2022	143	2022
Comparing molecular dynamics force fields in the essential subspace F Martín-García, E Papaleo, P Gomez-Puertas, W Boomsma, ... PLoS One 10 (3), e0121114, 2015	117	2015
Structure of a functional amyloid protein subunit computed using sequence variation P Tian, W Boomsma, Y Wang, DE Otzen, MH Jensen, K Lindorff-Larsen Journal of the American Chemical Society 137 (1), 22-25, 2015	115	2015
The PCNA interaction motifs revisited: thinking outside the PIP-box A Prestel, N Wichmann, JM Martins, R Marabini, N Kassem, SS Broendum, ... Cellular and Molecular Life Sciences 76, 4923-4943, 2019	113	2019
Spherical convolutions and their application in molecular modelling W Boomsma, J Frellsen Advances in neural information processing systems 30, 2017	111	2017
Potentials of mean force for protein structure prediction vindicated, formalized and generalized T Hamelryck, M Borg, M Paluszewski, J Paulsen, J Frellsen, C Andreetta, ... PloS one 5 (11), e13714, 2010	100	2010
Rapid protein stability prediction using deep learning representations LM Blaabjerg, MM Kassem, LL Good, N Jonsson, M Cagiada, ... Elife 12, e82593, 2023	94	2023
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 3246, 2021	92	2021
ENCORE: software for quantitative ensemble comparison M Tiberti, E Papaleo, T Bengtsen, W Boomsma, K Lindorff-Larsen PLoS computational biology 11 (10), e1004415, 2015	84	2015
Beyond rotamers: a generative, probabilistic model of side chains in proteins T Harder, W Boomsma, M Paluszewski, J Frellsen, KE Johansson, ... BMC bioinformatics 11, 1-13, 2010	83	2010
Fast phylogenetic DNA barcoding K Munch, W Boomsma, E Willerslev, R Nielsen Philosophical Transactions of the Royal Society B: Biological Sciences 363 …, 2008	83	2008
Barnaba: software for analysis of nucleic acid structures and trajectories S Bottaro, G Bussi, G Pinamonti, S Reißer, W Boomsma, K Lindorff-Larsen Rna 25 (2), 219-231, 2019	70	2019
Bayesian inference of protein ensembles from SAXS data LD Antonov, S Olsson, W Boomsma, T Hamelryck Physical Chemistry Chemical Physics 18 (8), 5832-5838, 2016	65	2016
Inference of structure ensembles of flexible biomolecules from sparse, averaged data S Olsson, J Frellsen, W Boomsma, KV Mardia, T Hamelryck PloS one 8 (11), e79439, 2013	62	2013
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion HD Pinholt, SSR Bohr, JF Iversen, W Boomsma, NS Hatzakis Proceedings of the National Academy of Sciences 118 (31), e2104624118, 2021	58	2021

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