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Wouter Boomsma

Showing results (41-50 of 50) with videos related to

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Elife|May 15, 2023
Rapid protein stability prediction using deep learning representationsLasse M Blaabjerg, Maher M Kassem, Lydia L Good, et al.
Protein Science : a Publication of the Protein Society|July 18, 2023
Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin-ligase Dma1 in vitroNina L Jacobsen, Magnus Bloch, Peter S Millard, et al.
Cellular and Molecular Life Sciences : CMLS|May 29, 2019
The PCNA interaction motifs revisited: thinking outside the PIP-boxAndreas Prestel, Nanna Wichmann, Joao M Martins, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2016
Rapid expansion of the protein disulfide isomerase gene family facilitates the folding of venom peptidesHelena Safavi-Hemami, Qing Li, Ronneshia L Jackson, et al.
Cellular and Molecular Life Sciences : CMLS|August 16, 2022
A context-dependent and disordered ubiquitin-binding motifJesper E Dreier, Andreas Prestel, João M Martins, et al.
Biorxiv : the Preprint Server for Biology|November 28, 2023
Deep learning assisted single particle tracking for automated correlation between diffusion and functionJacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, et al.
Nature Methods|May 9, 2025
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and functionJacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, et al.
Journal of Computational Chemistry|April 27, 2013
PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structureWouter Boomsma, Jes Frellsen, Tim Harder, et al.
Science (New York, N.Y.)|July 7, 2007
Ancient biomolecules from deep ice cores reveal a forested southern GreenlandEske Willerslev, Enrico Cappellini, Wouter Boomsma, et al.
Scientific Reports|February 6, 2021
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patientsEspen Jimenez-Solem, Tonny S Petersen, Casper Hansen, et al.
Pageof 5

Showing results (41-50 of 50) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 50 results.
Elife|May 15, 2023
Rapid protein stability prediction using deep learning representationsLasse M Blaabjerg, Maher M Kassem, Lydia L Good, et al.
Protein Science : a Publication of the Protein Society|July 18, 2023
Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin-ligase Dma1 in vitroNina L Jacobsen, Magnus Bloch, Peter S Millard, et al.
Cellular and Molecular Life Sciences : CMLS|May 29, 2019
The PCNA interaction motifs revisited: thinking outside the PIP-boxAndreas Prestel, Nanna Wichmann, Joao M Martins, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 10, 2016
Rapid expansion of the protein disulfide isomerase gene family facilitates the folding of venom peptidesHelena Safavi-Hemami, Qing Li, Ronneshia L Jackson, et al.
Cellular and Molecular Life Sciences : CMLS|August 16, 2022
A context-dependent and disordered ubiquitin-binding motifJesper E Dreier, Andreas Prestel, João M Martins, et al.
Biorxiv : the Preprint Server for Biology|November 28, 2023
Deep learning assisted single particle tracking for automated correlation between diffusion and functionJacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, et al.
Nature Methods|May 9, 2025
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and functionJacob Kæstel-Hansen, Marilina de Sautu, Anand Saminathan, et al.
Journal of Computational Chemistry|April 27, 2013
PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structureWouter Boomsma, Jes Frellsen, Tim Harder, et al.
Science (New York, N.Y.)|July 7, 2007
Ancient biomolecules from deep ice cores reveal a forested southern GreenlandEske Willerslev, Enrico Cappellini, Wouter Boomsma, et al.
Scientific Reports|February 6, 2021
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patientsEspen Jimenez-Solem, Tonny S Petersen, Casper Hansen, et al.
Pageof 5