Author

A. Barclay

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

A. J. Lenard· 1 shared A. Khondker· 1 shared A. Monteiro· 1 shared A. S. Ulrich· 1 shared B. B. Kragelund· 1 shared H. Steinocher· 1 shared J. Bürck· 1 shared J. Marcar· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

A. J. Lenard

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Author profile →

2 papers

Recent·Most cited

Order and disorder - an integrative structure of the full-length human growth hormone receptor

N. Kassem, R. Araya-Secchi, K. Bugge, A. Barclay, H. Steinocher, A. Khondker, A. J. Lenard, J. Bürck, A. S. Ulrich, M. C. Pedersen, Y. Wang, M. C. Rheinstädter, P. A. Pedersen, K. Lindorff-Larsen, L. Arleth, B. B. Kragelund

This study determines the structure of the full-length human growth hormone receptor using integrated SAXS, X-ray diffraction, NMR, and molecular dynamics simulations, revealing a flexible ensemble of domains.

bioRxiv · Jun 25, 2020Biophysics

A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques

M. Lee, A. Monteiro, A. Barclay, J. Marcar, M. Miteva-Neagu, J. Parker

This paper develops a framework using microsensors, weather models, and machine learning to predict soft fruit yields and phenology with higher accuracy.

bioRxiv · Mar 4, 2019Plant Biology