Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Biotech
Publisher : Proceedings of the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications, Goa, India,
Source : Proceedings of the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications, Goa, India, August 29-30, 2020.
Url : https://link.springer.com/chapter/10.1007/978-981-33-6691-6_7
ISBN : 9789813366916
Keywords : Bioinformatics, Complex networks, oxidative stress, Parkinson’s disease, Systems Theory
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Computational Neuroscience and Neurophysiology
Department : biotechnology
Year : 2020
Abstract : The application of systems theory to complex biological systems helps to rebuild complex biochemical reactions to study interactions between small biomolecules and how their dysfunctions lead to Parkinson's disease (PD) and other complex diseases. Modeling of cellular pathways using biochemical system theory helps to reconstruct the biochemical reactions involving major proteins and their interactions inside a cell. In this study, two important pathways involved in Parkinson's disease have been modeled: cellular interactions related to tau protein and role of reactive oxygen species. The experimental data for initial conditions for the model was extracted from literature for both normal and diseased conditions. The model helped to understand the dynamic behavior of cellular components and their interactions that regulate the emergent properties of the system based on ordinary differential equations and kinetics laws. The results have shown that mutations in several important genes related to Parkinson's including SNCA, DJ-1, tau can cause abnormal protein aggregation, mitochondrial disruption, disturbed cell homeostasis that trigger various cell death pathways. The model suggests possible biomarkers related to PD that help to find potential therapeutic targets for early diagnosis and predicting disease progression.
Cite this Research Publication : Hemalatha Sasidharakurup, Parvathy Devi Babulekshmanan, Sreehari Sathianarayanan, and Dr. Shyam Diwakar, “Modeling Crosstalk of Tau and ROS Implicated in Parkinson's Disease Using Biochemical Systems Theory”, in Proceedings of the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications, Goa, India, August 29-30, 2020.