4.7 Article

Predicting Diagnostic Potential of Cathepsin in Epithelial Ovarian Cancer: A Design Validated by Computational, Biophysical and Electrochemical Data

Journal

BIOMOLECULES
Volume 12, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/biom12010053

Keywords

cathepsin-cystatin; molecular dynamics; differential pulse voltammetry

Funding

  1. DBT BIG BIRAC [BIRAC/IKPO876/81G-14/19]
  2. Imam Mohannad Ibn Saud Islamic University [RG-21-09-93]

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This study assessed the interaction between protease and inhibitor to design an electrochemical diagnostic module for epithelial ovarian cancer. The predictions of protease candidates were confirmed experimentally, and selectivity and sensitivity of their electrochemical interactions were evaluated. The results validate the utility of dry-lab integration in the wet-lab technique for the design of electrochemical diagnostics for epithelial ovarian cancer.
Background: Epithelial ovarian cancer remains one of the leading variants of gynecological cancer with a high mortality rate. Feasibility and technical competence for screening and detection of epithelial ovarian cancer remain a major obstacle and the development of point of care diagnostics (POCD) may offer a simple solution for monitoring its progression. Cathepsins have been implicated as biomarkers for cancer progression and metastasis; being a protease, it has an inherent tendency to interact with Cystatin C, a cysteine protease inhibitor. This interaction was assessed for designing a POCD module. Methods: A combinatorial approach encompassing computational, biophysical and electron-transfer kinetics has been used to assess this protease-inhibitor interaction. Results: Calculations predicted two cathepsin candidates, Cathepsin K and Cathepsin L based on their binding energies and structural alignment and both predictions were confirmed experimentally. Differential pulse voltammetry was used to verify the potency of Cathepsin K and Cathepsin L interaction with Cystatin C and assess the selectivity and sensitivity of their electrochemical interactions. Electrochemical measurements indicated selectivity for both the ligands, but with increasing concentrations, there was a marked difference in the sensitivity of the detection. Conclusions: This work validated the utility of dry-lab integration in the wet-lab technique to generate leads for the design of electrochemical diagnostics for epithelial ovarian cancer.

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