Jason A. Papin, Ph.D.
Affiliations: | Biomedical Engineering | University of Virginia, Charlottesville, VA |
Area:
Computational Systems BiologyGoogle:
"Jason Papin"Parents
Sign in to add mentor| Bernhard O. Palsson | grad student | 2004 | UCSD | |
| (Systems analysis of cellular signaling networks.) | ||||
Children
Sign in to add trainee| Edik M. Blais | grad student | 2010- | UVA |
| Gregory Leonard Medlock | grad student | 2014- | UVA |
| Erwin P. Gianchandani | grad student | 2008 | UVA |
| Matthew A. Oberhardt | grad student | 2010 | UVA |
| Arvind K. Chavali | grad student | 2011 | UVA |
| Paul A. Jensen | grad student | 2008-2013 | UVA |
| Maureen A. Carey | grad student | 2015-2018 | (Microtree) |
| Jong Min Lee | post-doc | 2005-2006 | UVA (MathTree) |
| Ani W. Manichaikul | post-doc | 2008-2009 | UVA |
BETA: Related publications
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Publications
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| Glass EM, Dillard LR, Kolling GL, et al. (2024) Niche-specific metabolic phenotypes can be used to identify antimicrobial targets in pathogens. Plos Biology. 22: e3002907 |
| Islam MM, Kolling GL, Glass EM, et al. (2024) Model-driven characterization of functional diversity of clinical isolates with broadly representative phenotypes. Microbial Genomics. 10 |
| Kuper TJ, Islam MM, Peirce-Cottler SM, et al. (2024) Spatial transcriptome-guided multi-scale framework connects P. aeruginosa metabolic states to oxidative stress biofilm microenvironment. Plos Computational Biology. 20: e1012031 |
| Dougherty BV, Moore CJ, Rawls KD, et al. (2024) Identifying metabolic adaptations characteristic of cardiotoxicity using paired transcriptomics and metabolomics data integrated with a computational model of heart metabolism. Plos Computational Biology. 20: e1011919 |
| Tubergen PJ, Medlock G, Moore A, et al. (2023) A computational model of Pseudomonas syringae metabolism unveils a role for branched-chain amino acids in Arabidopsis leaf colonization. Plos Computational Biology. 19: e1011651 |
| Islam MM, Kolling GL, Glass EM, et al. (2023) Model-driven characterization of functional diversity of clinical isolates with broadly representative phenotypes. Biorxiv : the Preprint Server For Biology |
| Moore CJ, Holstege CP, Papin JA. (2023) Metabolic modeling of sex-specific liver tissue suggests mechanism of differences in toxicological responses. Plos Computational Biology. 19: e1010927 |
| Potter AD, Baiocco CM, Papin JA, et al. (2023) Transcriptome-guided metabolic network analysis reveals rearrangements of carbon flux distribution in during neutrophil co-culture. Msystems. e0126522 |
| Jenior ML, Glass EM, Papin JA. (2023) Reconstructor: a COBRApy compatible tool for automated genome-scale metabolic network reconstruction with parsimonious flux-based gap-filling. Bioinformatics (Oxford, England). 39 |
| Powers DA, Jenior ML, Kolling GL, et al. (2023) Network analysis of toxin production in Clostridioides difficile identifies key metabolic dependencies. Plos Computational Biology. 19: e1011076 |