Laurence Yang
Affiliations: | 2012 | Chemical Engineering | University of Toronto, Toronto, ON, Canada |
| 2019- | Chemical Engineering | Queen's University, Kingston, ON, Canada |
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Parents
Sign in to add mentor| Radhakrishnan Mahadevan | grad student | 2012 | University of Toronto |
| Bernhard O. Palsson | research scientist | 2019 | UCSD (Computational Biology Tree) |
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Publications
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| Zhao J, Chen K, Palsson BO, et al. (2024) StressME: Unified computing framework of Escherichia coli metabolism, gene expression, and stress responses. Plos Computational Biology. 20: e1011865 |
| Rychel K, Tan J, Patel A, et al. (2023) Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance. Cell Reports. 42: 113105 |
| Dahal S, Renz A, Dräger A, et al. (2023) Genome-scale model of Pseudomonas aeruginosa metabolism unveils virulence and drug potentiation. Communications Biology. 6: 165 |
| Park JY, Lee SM, Ebrahim A, et al. (2023) Model-driven experimental design workflow expands understanding of regulatory role of Nac in . Nar Genomics and Bioinformatics. 5: lqad006 |
| Yao H, Dahal S, Yang L. (2023) Novel context-specific genome-scale modelling explores the potential of triacylglycerol production by Chlamydomonas reinhardtii. Microbial Cell Factories. 22: 13 |
| 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 |
| Anand A, Olson CA, Sastry AV, et al. (2021) Restoration of fitness lost due to dysregulation of the pyruvate dehydrogenase complex is triggered by ribosomal binding site modifications. Cell Reports. 35: 108961 |
| Dahal S, Yurkovich JT, Xu H, et al. (2020) Synthesizing Systems Biology Knowledge from Omics Using Genome-Scale Models. Proteomics. e1900282 |
| Kavvas ES, Yang L, Monk JM, et al. (2020) A biochemically-interpretable machine learning classifier for microbial GWAS. Nature Communications. 11: 2580 |
| Mih N, Monk JM, Fang X, et al. (2020) Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes. Bmc Bioinformatics. 21: 162 |