Yang Hung-Wei, Ju Shin-Pon, Lin Yu-Sheng
Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan.
Comput Struct Biotechnol J. 2019 Jun 20;17:812-820. doi: 10.1016/j.csbj.2019.06.021. eCollection 2019.
This study proposed a novel global minimum search method for predicting the most stable biomolecule complex, which combines the strengths of three global minimum search methods (stochastic tunnelling, basin hopping, and discrete molecular dynamics) to efficiently improve the spatial domain search ability of the stochastic tunnelling-basin hopping (STUN-BH) method from our previous study. The epithelial cell adhesion molecule (EpCAM, PDB code: 4MZV) was used as a benchmark target molecule for the EpCAM aptamer EpA (Apt). For the most stable Apt/EpCAM complex predicted by our new method, the Apt was attached to the entangling loop fragments of the two EpCAM molecules with the most Apt residues. After the Apt/EpCAM complex had equilibrated with the water environment through a molecular dynamics simulation at 300 K for 10 ns, stable hydrogen bonds formed between the bases of Apt and EpCAM residues of the secondary structures, which included the alpha helix and beta sheet becoming less stable in the water environment. Those hydrogen bonds formed between the bases of Apt and EpCAM loop fragment residues remained stable in the water environment.
本研究提出了一种用于预测最稳定生物分子复合物的新型全局最小搜索方法,该方法结合了三种全局最小搜索方法(随机隧道法、盆地跳跃法和离散分子动力学法)的优势,以有效提高我们先前研究中随机隧道 - 盆地跳跃(STUN - BH)方法的空间域搜索能力。上皮细胞粘附分子(EpCAM,PDB代码:4MZV)被用作EpCAM适配体EpA(Apt)的基准目标分子。对于我们新方法预测的最稳定的Apt/EpCAM复合物,Apt附着在两个EpCAM分子的缠结环片段上,且具有最多的Apt残基。在Apt/EpCAM复合物通过在300 K下进行10 ns的分子动力学模拟与水环境达到平衡后,Apt碱基与二级结构的EpCAM残基之间形成了稳定的氢键,其中包括α螺旋和β折叠在水环境中变得不太稳定。Apt碱基与EpCAM环片段残基之间形成的那些氢键在水环境中保持稳定。