title: An in silico approach to evaluate the polyspecificity of methionyl-tRNA synthetases.
abstract: Residue-specific incorporation is a technique used to replace natural amino acids with their close structural analogs, unnatural amino acids (UAAs), during protein synthesis. This is achieved by exploiting the substrate promiscuity of the wild type amino acyl tRNA synthetase (AARS) towards the close structural analogs of their cognate amino acids. In the past few decades, seleno-methionine was incorporated into proteins, using the substrate promiscuity of wild type AARSs, to resolve their crystal structures. Later, the incorporation of many UAAs showed that the AARSs are polyspecific to the close structural analogs of their cognate amino acids and that they maintain fidelity for the 19 natural amino acids. This polyspecificity helps to expand the use of this powerful tool to incorporate various UAA residues specifically through in vivo and in vitro approaches. Incorporation of UAAs is expensive, tedious and time-consuming. For the efficient incorporation of UAAs, it is important to screen substrate selectivity prior to their incorporation. As an initial study, using a docking tool, we analyzed the polyspecificity of the methionyl-tRNA synthetases (MetRSs) towards multiple reported and virtually generated methionine analogs. Based on the interaction result of these docking simulations, we predicted the substrate selectivity of the MetRS and the key residues responsible for the recognition of methionine analogs. Similarly, we compared the active site residues of the MetRSs of different species and identified the conserved amino acids in their active sites. Given the close similarity in the active site residues of these systems, we evaluated the polyspecificity of MetRSs.
authors.affiliation: School of Biotechnology, Yeungnam University, Gyeongsan, South Korea.
authors.forename: Saravanan Prabhu
authors.initials: SP
authors.lastname: Nadarajan
authors.forename: Sam
authors.initials: S
authors.lastname: Mathew
authors.forename: Kanagavel
authors.initials: K
authors.lastname: Deepankumar
authors.forename: Hyungdon
authors.initials: H
authors.lastname: Yun
mesh_terms: D020134:Catalytic Domain; D003198:Computer Simulation; D008715:Methionine / Q000031:analogs & derivatives / Q000737:chemistry; D008718:Methionine-tRNA Ligase / Q000737:chemistry* / Q000378:metabolism; D008958:Models, Molecular; D062105:Molecular Docking Simulation; D013379:Substrate Specificity
chemical_list: D008715:Methionine; D008718:Methionine-tRNA Ligase