Author

N. R. Boyle

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 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Gontu· 1 shared A. Metcalf· 1 shared B.-M. S. Hodge· 1 shared C. Chen· 1 shared C. D. Maranas· 1 shared C. Sake· 1 shared D. Banerjee· 1 shared D. M. Newman· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBiophysics

A. Gontu

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Characterizing Photosynthetic Biofuel Production: Isotopically non-stationary 13C metabolic flux analysis (INST-13CMFA) on limonene producingSynechococcus sp. PCC 7002

D. M. Newman, C. Sake, A. Metcalf, F. K. Davies, N. R. Boyle

This study uses INST-13CMFA to compare metabolic fluxes in a limonene-producing Synechococcus strain and its wild type, finding differences in pyruvate synthesis pathways.

bioRxiv · Mar 30, 2022 · PreprintBioengineering

Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike protein and the human ACE2 receptor

C. Chen, V. S. Boorla, D. Banerjee, R. Chowdhury, V. S. Cavener, R. H. Nissly, A. Gontu, N. R. Boyle, K. Vandegrift, M. S. Nair, S. V. Kuchipudi, C. D. Maranas

The paper predicts the effect of amino acid changes on SARS-CoV-2 spike protein binding to hACE2 using molecular dynamics and a neural network, achieving 82.2% classification accuracy and 0.69 correlation with experimental data.

bioRxiv · Mar 24, 2021Biophysics

MultIscale MultiObjective Systems Analysis (MIMOSA): an advanced metabolic modeling framework for complex systems

J. J. Gardner, B.-M. S. Hodge, N. R. Boyle

The paper introduces MIMOSA, a metabolic modeling framework that tracks individual cells in space and time, improving predictive modeling of complex cell cultures.

bioRxiv · Jul 30, 2019Bioengineering