Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Comput Biol Chem. 2017 Apr;67:102-113. doi: 10.1016/j.compbiolchem.2016.12.011. Epub 2016 Dec 31.
The nirk gene encoding the copper-containing nitrite reductase (CuNiR), a key catalytic enzyme in the environmental denitrification process that helps to produce nitric oxide from nitrite. The molecular mechanism of denitrification process is definitely complex and in this case a theoretical investigation has been conducted to know the sequence information and amino acid composition of the active site of CuNiR enzyme using various Bioinformatics tools. 10 Fasta formatted sequences were retrieved from the NCBI database and the domain and disordered regions identification and phylogenetic analyses were done on these sequences. The comparative modeling of protein was performed through Modeller 9v14 program and visualized by PyMOL tools. Validated protein models were deposited in the Protein Model Database (PMDB) (PMDB id: PM0080150 to PM0080159). Active sites of nirk encoding CuNiR enzyme were identified by Castp server. The PROCHECK showed significant scores for four protein models in the most favored regions of the Ramachandran plot. Active sites and cavities prediction exhibited that the amino acid, namely Glycine, Alanine, Histidine, Aspartic acid, Glutamic acid, Threonine, and Glutamine were common in four predicted protein models. The present in silico study anticipates that active site analyses result will pave the way for further research on the complex denitrification mechanism of the selected species in the experimental laboratory.
nirk 基因编码含铜的亚硝酸盐还原酶(CuNiR),这是环境反硝化过程中的关键催化酶,有助于将亚硝酸盐转化为一氧化氮。反硝化过程的分子机制肯定很复杂,在这种情况下,我们使用各种生物信息学工具对 CuNiR 酶的活性位点的序列信息和氨基酸组成进行了理论研究。从 NCBI 数据库中检索到 10 个 FASTA 格式的序列,并对这些序列进行了结构域和无序区域鉴定和系统发育分析。通过 Modeller 9v14 程序进行蛋白质的比较建模,并使用 PyMOL 工具进行可视化。验证后的蛋白质模型被存入蛋白质模型数据库(PMDB)(PMDB id:PM0080150 至 PM0080159)。通过 Castp 服务器鉴定 nirk 编码 CuNiR 酶的活性位点。PROCHECK 显示四个蛋白质模型在 Ramachandran 图的最有利区域的得分显著。活性位点和腔预测显示,甘氨酸、丙氨酸、组氨酸、天冬氨酸、谷氨酸、苏氨酸和谷氨酰胺这四种预测的蛋白质模型中都存在常见的氨基酸。本计算机模拟研究预计,活性位点分析结果将为进一步研究所选物种在实验室内复杂的反硝化机制铺平道路。