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Computational model for monitoring cholesterol metabolism

  • Research Article
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Systems and Synthetic Biology

Abstract

A non-deterministic finite automaton is designed to observe the cholesterol metabolism with the states of acceptance and rejection. The acceptance state of the automaton depicts the normal level of metabolism and production of good cholesterol as an end product. The rejection state of this machine shows the inhibition of enzymatic activity in cholesterol synthesis and removal of free fatty acids. The deficiency in human cholesterol metabolism pathway results in abnormal accumulation of cholesterol in plasma, arterial tissues leading to diseases such as hypercholesterolemia, atherosclerosis respectively and formation of gallstones. The designed machine can be used to monitor the cholesterol metabolism at molecular level through regulation of enzymes involved in the biosynthesis and metabolism of cholesterol for the treatment of diseases incident due to the respective metabolic disorder. In addition, an algorithm for this machine has been developed to compare the programmed string with the given string. This study demonstrates the construction of a machine that is used for the development of molecular targeted therapy for the disorders in cholesterol metabolism.

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Acknowledgments

Thanks to Ms. M. Faleela Farzana for supporting the algorithm part.

Conflict of interest

The authors declare no conflict of interest.

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Authors and Affiliations

  1. School of Advanced Sciences, VIT University, Vellore, 632 014, Tamil Nadu, India

    R. Selvakumar & M. Rashith Muhammad

  2. Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, Heidelberg, Germany

    G. Poornima Devi

Authors
  1. R. Selvakumar
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  2. M. Rashith Muhammad
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  3. G. Poornima Devi
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Corresponding author

Correspondence to M. Rashith Muhammad.

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Selvakumar, R., Rashith Muhammad, M. & Poornima Devi, G. Computational model for monitoring cholesterol metabolism. Syst Synth Biol 8, 307–311 (2014). https://doi.org/10.1007/s11693-014-9152-8

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  • DOI: https://doi.org/10.1007/s11693-014-9152-8

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