Discovery of Novel Pyruvate Kinase Inhibitors Against Leishmania major Among FDA Approved Drugs Through System Biology and Molecular Docking Approach

TURKISH JOURNAL OF PHARMACEUTICAL SCIENCES(2021)

引用 3|浏览1
暂无评分
摘要
Objectives: Leishmaniasis is one of the common forms of neglected parasitic diseases that cause a worldwide disease burden without any effective therapeutic strategy. Control of the disease currently relies on chemotherapy because most of the available drugs have toxic side-effects and drug resistant strains have emerged. Therefore, the development of new therapeutic strategies to treat patients for leishmaniasis has become a priority. The first step in drug discovery is to identify an effective drug target by methods such as system biology. Protein kinases are a promising drug target for different diseases. Due to lack of a functional krebs cycle in Leishmania species, they use glycolysis as the only source of ATP generation. Pyruvate kinase is the enzyme involved in the last step of glycolysis and considered as essential enzyme for the Leishmania survival. Materials and Methods: This study sought to discover FDA approved compounds against the leishmanial pyruvate kinase protein. Our approach involved using quantitative proteomics, protein interaction networks and docking to detect new drug targets and potent inhibitors. Results: Pyruvate kinase was determined as the potential drug target based on protein network analysis. The docking studies suggested trametinib and irinotecan with high binding energies of-10.4 and-10.3 kcal/mol, respectively, as the potential chemotherapeutic agents against L. major. Conclusion: This study demonstrated the importance of integrating protein network analysis and molecular docking to identify new anti-leishmanial drugs. These potential inhibitors constitute novel drug candidates that should be tested in vitro and in vivo to determine their potential as an alternative chemotherapy in the treatment of leishmaniasis.
更多
查看译文
关键词
Leishmania major, pyruvate kinase, protein network, drug target, docking
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要