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Computational Design of Novel Medicines as Inhibitors in Case of Cancer and Autoimmune Disease Treatment Based on Amino Acid and Sugar

Feghhi, Razieh | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54079 (03)
  4. University: Sharif University of Technology
  5. Department: Chemistry
  6. Advisor(s): Fattahi, Alireza
  7. Abstract:
  8. SHP2 has been reported as a critical non-receptor phosphatase enzyme that plays crucial roles in numerous disorders like cancer. The previous studies on this enzyme showed that inhibiting the action of the enzyme comes as a way of controlling enzyme activity. SHP099 was discovered as an Allosteric inhibitor of the enzyme with the most inhibitory effect among all of the studied compounds. In this study we aimed to design novel dipeptide-and sugar-based inhibitors for the allosteric binding site of this enzyme with in-silico studies including docking, molecular dynamic simulation, and free binding energy analysis. Our novel designed drugs possess enough binding properties, low toxicity, and side effects due to their natural skeleton consisting of dipeptide and monosaccharide
  9. Keywords:
  10. Inhibitor ; Molecular Dynamic Simulation ; Docking ; Amino Acid ; SHP2 Enzyme ; Tyrosine ; Computational Design ; Cancer Treatment

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