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The bioluminescence process is a widespread phenomenon in Nature. These enzymes are identified in some domains of life, but the luciferases from the lampyridea genus are considered for biological applications. The molecular cloning of a new type of Iranian firefly luciferase from Lampyroidea maculata was reported, previously. In this study, we analyzed the rare codons of the Iranian insect luciferase gene using the computational databases as ATGme, RACC, LaTcOm, and Sherlocc. Also, the structural modeling process of this enzyme was performed. Next, the status of these rare codons in this structural model was studied using SPDBV and PyMOL software. In the following, the substrate binding site was studied using the AutoDock Vina. By molecular modeling, some rare codons were identified that may have a critical role in the structure and function of this luciferase. AutoDock Vina was used in the molecular docking that recognizes Asp⁵³¹ that yield closely related to luciferin and AMP binding site.. This bioinformatics analyzes play an important role in the design of new drugs.

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Aim: Follistatin-like protein 1 (FSTL1) is a secreted glycoprotein that plays an important role in regulating cell survival, proliferation, differentiation, migration, inflammation, and modulating the immune system. The FK domain in FSTL1 has 10 conserved cysteine residues that form 5 disulfide bonds. Despite extensive studies on the function of FSTL1, limited structural information is available about this biologically important molecule.
Materials and Methods:Using the SWISS-MODEL server and using the crystal structure of the FK domain of the mouse FSTL1 protein with the code (PDB: 6jzw) as a template, structural models of the FK domain of the human FSTL1 protein were prepared. In the next step, the resulting structures were checked using Swiss-PDB Viewer 4.10, Chimera 1.12 software, Ramachandaran diagram and PDBSUM server, in terms of the distance between two cysteine residues, the modeling error range, and the formation of disulfide bonds. Molecular dynamics simulations were performed using the AMBER software package with the ff14SB force field.
Results: The results showed that the FK domain without disulfide bond has root mean square deviations (RMSD) and root mean square fluctuations (RMSF), higher than the native FK domain. In addition, the radius of gyration in domain without disulfide bonds is significantly lower than that of native FK domain. The results show that the disulfide bonds of the FK domain play a role in the stability of the structural folding of the FK domain and the removal of these bonds increases the structural flexibility of this domain.
 

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distribution systems to a wide range of consumers, and therefore constitute the basic infrastructure in each city. The main objective of this research is to identify and prioritize critical and critical assets of water supply facilities including reservoirs, transmission and distribution networks, refineries, dams, tanks, wells, rivers, based on economic value criteria , Functional and unique value through the AHP hierarchical compilation method and Risk Analysis and Management for Critical Asset Protection )RAMCAP(.Based on the combined method of Amir Kabir Dam, Taleghan Dam, Lotyan dam, Lar dam, Mamlo dam, Nimrod Dam, Ziarat dam, Shahid Ghafour Dam, wells, springs, rivers, No. 1 treatment plant (Jalaliyeh), No. 2 treatment plant (No. 3 and No. 4), No. 5, No. 5, No. 6, No. 7 (Sohanak), Seahqeraniyeh Sewage Treatment Plant, Municipality Sewage Treatment Plant, Zargand Sewage Treatment Plant, Gheitariyya Sewage Treatment Plant, Ghods Town Sewage Treatment Plant, Shosh Sewage Treatment Plant , Ekbatan sewage treatment plant, pumping stations, storage tanks, water distribution network B¬Rsany system were critical of Tehran. Based on the defined economic value criteria, the value of the Letian dam and the Amir Kabir dam and Taleghan Dam respectively were 0.1477, 0.1359 and 0.1109, respectively, in the first to third positions, respectively, and the distribution network and reservoirs were ranked respectively 24 and 25 were assigned 0.0046 and 50.004, respectively.