Author

P. Carr

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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Bioengineering· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:Arabidopsis· 1 Research Focus:cell type annotation· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

B. Doyle· 1 shared B. Yu· 1 shared C. Ainola· 1 shared C. Shelverton· 1 shared E. Wilson· 1 shared G. Abbate· 1 shared G. Li Bassi· 1 shared J. Fraser· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioengineering

B. Doyle

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Design, development, and preliminary assessment of a novel peripheral intravenous catheter aimed at reducing early failure rates

B. Doyle, L. Kelsey, C. Shelverton, G. Abbate, C. Ainola, P. Carr, S. Livingstone, M. Bouquet, M. Passmore, E. Wilson, S. M. Colombo, K. Sato, K. Liu, S. Heinsar, N. Sato, , S. Keogh

This paper designs a novel peripheral intravenous catheter (FloRamp) to reduce early failure rates and reports preliminary results from animal testing showing reduced occlusion and lower phlebitis scores.

bioRxiv · Jun 20, 2022 · PreprintBioengineering

An atlas of Arabidopsis protein S-Acylation reveals its widespread role in plant cell organisation of and function.

M. Kumar, P. Carr, S. R. Turner

This study creates an atlas of S-acylation in Arabidopsis, identifying 5185 modified cysteines across 2643 proteins, highlighting its role in plant cell function and cellulose synthesis.

bioRxiv · May 12, 2020 · PreprintPlant Biology

A Framework for Predicting Design Failures in Engineered Genetic Codes

B. Yu, P. Carr, M. Murphy

The paper develops a machine learning framework to predict genetic code design failures by analyzing codon usage effects on E. coli viability.

bioRxiv · Jul 6, 2018 · PreprintBioengineering