Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.
Analytical Biochemistry Research Centre, Universiti Sains Malaysia, 11800, Minden, Penang, Malaysia.
J Mol Model. 2019 Sep 5;25(10):301. doi: 10.1007/s00894-019-4192-3.
The sigma-E transcription factor (σTF) can be found in most of the bacteria cells including Bacillus thuringiensis. However, the cellular regulatory mechanisms of these transcription factors in the mass production of δ-endotoxins during sporulation stage are yet to be revealed. In addition, the recognition of DNA towards σTF DNA binding motifs that led to the transcription activities is also being poorly studied. Therefore, this work studied the possible DNA binding motifs of σTF by utilising in silico approaches. The structure of σTF was first built via three different computational methods. A cognate DNA sequence was then docked to the predicted σTF DNA-binding motifs. The binding free energy calculated using molecular mechanics/Poisson-Boltzmann surface area (MM-PBSA) for triplicate 50 ns simulation of σTF-DNA complex revealed favourable binding energy of DNA to σTF (average ∆G = -34.57 kcal/mol) mainly driven by non-polar interactions. This study revealed that σTF LYS131, ARG133, PHE138, TRP146, ARG222, LYS225 and ARG226 are most likely the key residues upon the binding and recognition of DNA prior to transcription actives. Since determination of genome-regulating protein which recognises specific DNA sequence is important to discriminate between the proteins preferences for different genes, this study might provide some understanding on the possible σTF-DNA recognition prior to transcription initiated for the δ-endotoxins production.
西格玛-E 转录因子 (σTF) 存在于大多数细菌细胞中,包括苏云金芽孢杆菌。然而,这些转录因子在芽孢形成阶段大量生产 δ-内毒素过程中的细胞调节机制尚未被揭示。此外,针对导致转录活性的 σTF DNA 结合基序的 DNA 识别也研究得很差。因此,这项工作通过使用计算方法研究了 σTF 可能的 DNA 结合基序。首先通过三种不同的计算方法构建了 σTF 的结构。然后将同源 DNA 序列对接至预测的 σTF DNA 结合基序。通过对 50ns 重复模拟的分子力学/泊松-玻尔兹曼表面积 (MM-PBSA) 计算得出的 σTF-DNA 复合物的结合自由能表明,DNA 与 σTF 的结合能有利(平均 ∆G = -34.57 kcal/mol),主要由非极性相互作用驱动。这项研究表明,在转录活性之前,σTF 的 LYS131、ARG133、PHE138、TRP146、ARG222、LYS225 和 ARG226 很可能是结合和识别 DNA 的关键残基。由于确定识别特定 DNA 序列的基因组调节蛋白对于区分不同基因的蛋白质偏好很重要,因此,这项研究可能为转录起始前 δ-内毒素生产过程中 σTF-DNA 识别提供一些理解。