Systems Biology Group
The Systems Biology at International Center for Integrative Systems focuses on understanding and researching the core scientific principles that bridge ancient systems of medicine with modern systems biology.
In-Silico Analysis & In-Vivo Results Concur on Glutathione Depletion in Glyphosate Resistant GMO Soy, Advancing a Systems Biology Framework for Safety Assessment of GMOs
A recent study published in the peer-reviewed journal American Journal of Plant Sciences predicted a nearly 400% difference in glutathione oxidation as measured by the ratio of GSH and GSSG, in RRS that are glyphosate-treated glyphosate-resistant Soy versus the Organic Soy. These predictions also concur with in vivo greenhouse results. This concurrence suggests these in silico models of C1 metabolism may provide a viable and validated platform for biosafety assessment of GMOs, and aid in selecting rational criteria for informing in vitro and in vivo efforts to more accurately decide in the problem formulation phase which parameters need to be assessed so that conclusion on “substantial equivalence” or material difference of a GMO and its non-GMO counterpart can be drawn on a well-grounded basis.
A new study published in the peer-reviewed journal AGRICULTURAL SCIENCES applies modern computational systems biology methods to reveal genetically engineered soy (the GMO) creates significant disruption to the levels of formaldehyde, a known carcinogen, and glutathione, an important anti-oxidant necessary for cellular detoxification.
Integrative Modeling of Oxidative Stress and C1 Metabolism Reveals Upregulation of Formaldehyde and Downregulation of Glutathione
This research provides, to the authors’ knowledge, the first integrative model of oxidative stress and C1 metabolism in plants. Increased oxidative stress can cause irreversible damage to photosynthetic components and is harmful to plants. Perturbations at the genetic level may increase oxidative stress and upregulate antioxidant systems in plants.
This paper provides an integrative computational, in silico, model of C1 metabolism is developed from molecular pathway systems identified from a recent, comprehensive systematic bioinformatics review of C1 metabolism.
This paper explores a methodological process to identify key molecular pathways from systematic bioinformatics literature review. This process is used to identify molecular pathways for a ubiquitous molecular process in all plant biological systems: C1 metabolism and formaldehyde detoxification, specific to maize.
A breakthrough paper that conclusively validates the scientific foundation of Ayurveda and Siddha, based on modern control systems engineering, has been published in the International Journal of Systems of Systems Engineering (IJSSE), an eminent peer-reviewed international systems engineering journal. The paper’s research findings were presented at Sages & Scientists Conference in Carlsbad, California USA.