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Systems Biology Approaches for Precision Medicine

  • Subrahmanya Hegde,
  • S. M. Andrian,
  • Harshith Sajal,
  • Anil K. K. Mallikarjunappa,
  • Angel Benny,
  • Sumitha Elayaperumal

摘要

System biology studies the large-scale measurement of biomolecules in intricate biological systems. High-throughput omics, such as proteomics, transcriptomics, and metabolomics, are included in the datasets. These may be utilized to discover alterations in molecular pathways through the use of techniques such as pathway enrichment and network analysis, including machine learning. The ability to reveal novel biological insights is crucially dependent on the integration of various omic datasets. There remains a lot of hype concerning the personalized medicine concept. Each person differs by distinct characteristics including at the (1) physiological, (2) behavioral, and (3) environmental levels. Hence, there arises a need to treat diseases with different strategies to cater large population. The interindividual variations were confirmed by sequencing the whole genome and monitoring health using wireless devices, and imaging protocols which have shown inter variation in disease progression to drug response. Interactions between triad factors including environmental, neurological, and immunological play a vital role in complex disorders. Hence, there arises a need to understand the complexity of these disorders from a novel perspective. Epilepsies have been better understood as a result of recent developments in genetics and neuroscience. These discoveries have opened the door for a cutting-edge method of personalized treatment that tries to reverse or prevent the negative consequences of epilepsy-causing gene abnormalities. The efficacy and safety of epilepsy medications might be considerably improved by selectively addressing the molecular mechanisms that cause seizures in each individual. These systems methods are used to answer a range of biological questions, such as how newborns develop during their first week of life, how hosts and pathogens interact, how to predict disease, how to find biomarkers, and how to discover and repurpose drugs. Overall, systems biology-based omics data analysis has been used to treat several complex diseases.