Colton Lloyd

Affiliations: 
2019 University of California, San Diego, La Jolla, CA 
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"Colton Lloyd"
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Tibocha-Bonilla JD, Zuñiga C, Lekbua A, et al. (2022) Predicting stress response and improved protein overproduction in Bacillus subtilis. Npj Systems Biology and Applications. 8: 50
Mohite OS, Lloyd CJ, Monk JM, et al. (2022) Pangenome analysis of Enterobacteria reveals richness of secondary metabolite gene clusters and their associated gene sets. Synthetic and Systems Biotechnology. 7: 900-910
Lachance JC, Matteau D, Brodeur J, et al. (2021) Genome-scale metabolic modeling reveals key features of a minimal gene set. Molecular Systems Biology. 17: e10099
Lloyd CJ, Monk J, Yang L, et al. (2021) Computation of condition-dependent proteome allocation reveals variability in the macro and micro nutrient requirements for growth. Plos Computational Biology. 17: e1007817
Fang X, Lloyd CJ, Palsson BO. (2020) Reconstructing organisms in silico: genome-scale models and their emerging applications. Nature Reviews. Microbiology
Heckmann D, Campeau A, Lloyd CJ, et al. (2020) Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers. Proceedings of the National Academy of Sciences of the United States of America
Du B, Yang L, Lloyd CJ, et al. (2019) Genome-scale model of metabolism and gene expression provides a multi-scale description of acid stress responses in Escherichia coli. Plos Computational Biology. 15: e1007525
Yang L, Mih N, Anand A, et al. (2019) Cellular responses to reactive oxygen species are predicted from molecular mechanisms. Proceedings of the National Academy of Sciences of the United States of America
Lachance JC, Lloyd CJ, Monk JM, et al. (2019) BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data. Plos Computational Biology. 15: e1006971
Liu JK, Lloyd C, Al-Bassam M, et al. (2019) Predicting proteome allocation, overflow metabolism, and metal requirements in a model acetogen. Plos Computational Biology. 15: e1006848
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