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Frequent Subgraph Mining Analysis of GPCR Activation

Mishra, Satyakam

Abstract Details

, Master of Sciences, Case Western Reserve University, Systems Biology and Bioinformatics.
G Protein Coupled Receptors (GPCRs) are membrane proteins that play crucial roles in initiation of a multitude of physiological processes and are the largest class of therapeutic drug targets. GPCR structures reveal aspects of conformational changes that occur during activation, but the underlying mechanism that governs the activation process is not fully understood. A novel approach to understanding these structural transitions is to employ the data science technique of graph mining to explore these structural transitions. This approach allows structural comparison of GPCRs despite their low sequence conservation. This study employed frequent subgraph mining and machine learning approaches to uncover residue interactions that play a role in receptor activation. This study reveals that interactions involving Y223, L125 and Y306 are distinct to a single activation state, validating a novel method of protein structure comparison on the basis of changes in bond network connectivity.
David Lodowski (Advisor)
Gurkan Bebek (Committee Member)
William Bush (Committee Member)

Recommended Citations

Citations

  • Mishra, S. (n.d.). Frequent Subgraph Mining Analysis of GPCR Activation [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1613575702373053

    APA Style (7th edition)

  • Mishra, Satyakam. Frequent Subgraph Mining Analysis of GPCR Activation. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1613575702373053.

    MLA Style (8th edition)

  • Mishra, Satyakam. "Frequent Subgraph Mining Analysis of GPCR Activation." Master's thesis, Case Western Reserve University. Accessed MAY 08, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=case1613575702373053

    Chicago Manual of Style (17th edition)