Author

J. L. Hougland

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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Biochemistry· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Organism:human· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

M. A. Sieburg· 2 shared S. Nangia· 2 shared F. J. Irudayanathan· 1 shared J. Ji· 1 shared K. R. McGovern-Gooch· 1 shared M. Ashkar· 1 shared M. B. Campana· 1 shared M. Navarro· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBiochemistry

M. A. Sieburg

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2 papers

Recent·Most cited

A combined computational-biochemical approach offers an accelerated path to membrane protein solubilization

M. R. Pierce, J. Ji, S. X. Novak, M. A. Sieburg, S. Nangia, J. L. Hougland

This paper combines computational modeling and biochemical screening to identify effective detergents for solubilizing membrane proteins, showing computational predictions better predict solubilization than experimental screening.

bioRxiv · Jun 18, 2023Biochemistry

Molecular architecture of a membrane-spanning hormone acyltransferase required for metabolic regulation

M. B. Campana, F. J. Irudayanathan, T. R. Davis, K. R. McGovern-Gooch, R. Loftus, M. Ashkar, N. Escoffery, M. Navarro, M. A. Sieburg, S. nangia, J. L. Hougland

The paper presents a structural model of GOAT, an MBOAT enzyme, using co-evolutionary constraints and computational modeling validated by biochemistry, revealing a novel acylation mechanism within a transmembrane channel.

bioRxiv · Feb 28, 2019 · PreprintBiochemistry