Erwin P. Gianchandani, Ph.D.
Affiliations: | 2008 | University of Virginia, Charlottesville, VA |
Area:
Computational Systems BiologyGoogle:
"Erwin Gianchandani"Parents
Sign in to add mentor| Jason A. Papin | grad student | 2008 | UVA | |
| (Integrated biochemical network modeling: Reconstructing and analyzing whole-cell biology.) | ||||
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Publications
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| Oberhardt MA, Gianchandani EP. (2014) Genome-scale modeling and human disease: an overview. Frontiers in Physiology. 5: 527 |
| Benedict KF, Mac Gabhann F, Amanfu RK, et al. (2011) Systems analysis of small signaling modules relevant to eight human diseases. Annals of Biomedical Engineering. 39: 621-35 |
| Gianchandani EP, Chavali AK, Papin JA. (2010) The application of flux balance analysis in systems biology. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 2: 372-82 |
| Gianchandani EP, Joyce AR, Palsson BØ, et al. (2009) Functional states of the genome-scale Escherichia coli transcriptional regulatory system. Plos Computational Biology. 5: e1000403 |
| Mandell JW, Glass G, Gianchandani EP, et al. (2009) Dephosphorylation of beta-arrestin 1 in glioblastomas. Journal of Neuropathology and Experimental Neurology. 68: 535-41 |
| Wieghaus KA, Gianchandani EP, Neal RA, et al. (2009) Phthalimide neovascular factor 1 (PNF1) modulates MT1-MMP activity in human microvascular endothelial cells. Biotechnology and Bioengineering. 103: 796-807 |
| Chavali AK, Gianchandani EP, Tung KS, et al. (2008) Characterizing emergent properties of immunological systems with multi-cellular rule-based computational modeling. Trends in Immunology. 29: 589-99 |
| Wieghaus KA, Gianchandani EP, Paige MA, et al. (2008) Novel pathway compendium analysis elucidates mechanism of pro-angiogenic synthetic small molecule. Bioinformatics (Oxford, England). 24: 2384-90 |
| Lee JM, Min Lee J, Gianchandani EP, et al. (2008) Dynamic analysis of integrated signaling, metabolic, and regulatory networks. Plos Computational Biology. 4: e1000086 |
| Gianchandani EP, Oberhardt MA, Burgard AP, et al. (2008) Predicting biological system objectives de novo from internal state measurements. Bmc Bioinformatics. 9: 43 |