N
Nathan Crook
Researcher at North Carolina State University
Publications - 39
Citations - 2016
Nathan Crook is an academic researcher from North Carolina State University. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 17, co-authored 31 publications receiving 1593 citations. Previous affiliations of Nathan Crook include Washington University in St. Louis & University of Texas at Austin.
Papers
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Journal ArticleDOI
A Liquid Metal Mediated Metallic Coating for Antimicrobial and Antiviral Fabrics
Ki Yoon Kwon,Ki Yoon Kwon,Samuel Cheeseman,Alba Frias-De-Diego,Haeleen Hong,Jiayi Yang,Woojin Jung,Hong Yin,Billy J. Murdoch,Frank Scholle,Nathan Crook,Elisa Crisci,Michael D. Dickey,Vi Khanh Truong,Vi Khanh Truong,Tae Il Kim +15 more
TL;DR: In this article, an easy-to-control and straightforward method is reported to coat a wide range of fabrics by using gallium liquid metal (LM) particles to facilitate the deposition of liquid metal copper alloy (LMCu) particles.
Journal ArticleDOI
Re-engineering multicloning sites for function and convenience
TL;DR: This work develops and applies a novel predictive model of structure-based translation inhibition to design improved MCSs for significantly higher and more consistent protein expression, and was able to minimize the inhibitory effects of M CSs with the yeast TEF, CYC and GPD promoters.
Journal ArticleDOI
Structure-guided directed evolution of highly selective p450-based magnetic resonance imaging sensors for dopamine and serotonin.
Eric M. Brustad,Victor S. Lelyveld,Christopher D. Snow,Nathan Crook,Sang Taek Jung,Francisco Martinez,Timothy J. Scholl,Alan Jasanoff,Frances H. Arnold +8 more
TL;DR: In this article, a structure-guided directed evolution of the active site of the cytochrome P450-BM3 heme domain produces highly selective MRI probes with submicromolar affinities for small molecules.
Book ChapterDOI
Using flux balance analysis to guide microbial metabolic engineering.
TL;DR: Fux balance analysis (FBA) is a mathematical approach that uses a genomic-scale metabolic network models to afford in silico prediction and optimization of metabolic changes.
Journal ArticleDOI
Innovation at the intersection of synthetic and systems biology.
TL;DR: This review seeks to highlight the activity at the intersection of the top-down systems approach and the bottom-up synthetic approach that enables the precise control of cellular state for systems studies and the discovery of novel parts, control strategies, and interactions for the design of robust synthetic function.