Author

C. I. del Genio

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· 1 Plant Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1

Frequent Co-Authors

A. Baekelandt· 1 shared A. J. lloyd· 1 shared A. York· 1 shared B. Vanholme· 1 shared C. Dowson· 1 shared D. Inze· 1 shared D. Roper· 1 shared E. Connelly· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperPlant Biology

A. Baekelandt

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Author profile →

3 papers

Recent·Most cited

Non-specific effects of a CINNAMATE-4-HYDROXYLASE inhibitor on auxin homeostasis

I. El Houari, P. Klima, A. Baekelandt, P. Staswick, V. Uzunova, C. I. del Genio, W. Steenackers, P. I. Dobrev, O. Novak, R. M. Napier, J. Petrasek, D. Inze, W. Boerjan, B. Vanholme

This study shows that a C4H inhibitor, piperonylic acid, affects auxin homeostasis by interfering with auxin conjugation through GH3.6, leading to increased cellular auxin levels and altered plant growth.

bioRxiv · Oct 27, 2021 · PreprintPlant Biology

Structure-based modelling and dynamics of MurM, a Streptococcus pneumoniae penicillin resistance determinant that functions at the cytoplasmic membrane interface

A. York, A. J. lloyd, C. I. del Genio, J. Shearer, K. Hinxman, K. Fritz, V. Fulop, S. Khalid, C. Dowson, D. Roper

The paper models MurM's structure and dynamics to show its interaction with phospholipids and Lipid II, revealing its role in penicillin resistance in Streptococcus pneumoniae.

bioRxiv · Jun 18, 2020Biochemistry

Datamining a medieval medical text reveals patterns in ingredient choice that reflect biological activity against the causative agents of specified infections

E. Connelly, C. I. del Genio, F. Harrison

This paper uses network science to analyze medieval medical texts and identifies statistically significant patterns in ingredient selection for treating infections.

bioRxiv · Jul 16, 2018Scientific Communication & Education