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Identification of Selective STAT1 Inhibitors by Computational Approach

  • Veena Jaganivasan (Department of Genetic Engineering School of Bioengineering SRM Institute of Science and Technology) ;
  • Dona Samuel Karen (Department of Genetic Engineering School of Bioengineering SRM Institute of Science and Technology) ;
  • Bavya Chandrasekhar (Department of Microbiology, School of Biological Science, CMS College of Science and Commerce)
  • Received : 2023.07.16
  • Accepted : 2023.09.13
  • Published : 2023.10.10

Abstract

Colorectal cancer is one of the most common types of cancer worldwide, ranking third after lung and breast cancer in terms of global prevalence. With an expected 1.93 million new cases and 935,000 deaths in 2020, it is more prevalent in males than in women. Evidence has shown that during the later stages of colon cancer, STAT1 promotes tumor progression by promoting cell survival and resistance to chemotherapy. Recent studies have shown that inhibiting STAT1 pathway leads to a reduction in tumor cell proliferation and growth, and can also promote apoptosis in colon cancer cells. One of the recent approaches in the field of drug discovery is drug repurposing. In drug repurposing approach we have virtually screened FDA database against STAT1 protein and their interactions have been studied through Molecular docking. Cross docking was performed with the top 10 compounds to be more specific with STAT1 comparing the affinity with STAT2, STAT3, STAT4, STAT5a, STAT5b and STAT6. The drugs that showed higher affinity were subjected to Conceptual - Density functional theory. Besides, the Molecular dynamic simulation was also carried out for the selected leads. We also validated in-vitro against colon cancer cell lines. The results showed mainly Acetyldigitoxin has shown better binding to the target. From this study, we can predict that the drug Acetyldigitoxin has shown noticeable inhibitory efficiency against STAT1, which in turn can also lead to the reduction of tumor cell growth in colon cancer.

Keywords

References

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