Molecular Docking and Rare Codons Evaluation in the Luciola Lateralis luciferase, an in Silico Study

Authors

  • Mahmood Maleki Department of Biotechnology, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran- [email protected]
  • Masoud Torkzadeh-Mahani Department of Biotechnology, Institute of Sciences, High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
  • Mohammad Zarenezhad Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, IR Iran;
  • Mojtaba Mortezavi Department of Biotechnology-Graduate University of Advanced Technology, Kerman, Iran.
  • Navid Nezafat Pharmaceutical Sciences Research Centre, Faculty of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Reza Pazhoomand -Legal Medicine Research Center, Legal Medicine Organization of Iran, Tehran, Iran-
  • Roohullah Hemmati Department of biology, faculty of basic sciences, Shahrekord University, Charmahal va bakhtiari, Iran
  • Seyed Younes Hosseini - GastroenteroHepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract:

Luciferase enzymes are involved in the bioluminescence reaction (light emission by living organisms). The bioluminescence process is a widespread phenomenon in the Nature. These enzymes are identified in some domains of life, but the luciferases from lampyrid genus are considered of for biological applications. The molecular cloning of a new type of firefly luciferase from Luciola lateralis was reported, previously. Here, we study its substrate binding site and rare codon with molecular docking and bioinformatics studies. By molecular modelling, some rare codons were identified that may have a critical role in structure and function of this luciferase. AutoDock Vina was used in the molecular docking that recognizes some residues that yield closely related with luciferin and AMP binding site. These types of studies help in the discovery of the light production reaction. Evaluation of these hidden information’s can improve the knowledge of luciferases folding and protein expression challenges and help in design of new drugs.

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Journal title

volume 3  issue 1

pages  48- 59

publication date 2017-07-01

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