Sequence and structure statistics of the nanobody database and molecular dynamics simulation analysis of the nanobody VHH

Xusheng Zhang
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Abstract

Antibodies are immunoglobulins produced in vivo by immune cells stimulated by exogenous molecules, and nano-antibodies are a class of molecules that are similar to conventional antibodies but smaller in size. Originally discovered as an antibody in camelidsand cartilaginous fishes, they are called heavy chain antibodies due to the lack of light and heavy chain constant regions in the CH1 region except for the retained heavy chain, and their binding region to the antigen consists of the heavy chain variable region only, making them the smallest antibodies available with complete antibody functional properties. In this experiment, we analyzed the commonalities and differences of the nanobodies by extracting all their amino acid sequences, performed protein modeling of the relevant nanobodies of coronaviruses among them, and then analyzed the data of RMSD and RMSF by using molecular dynamics simulation, and finally predicted and analyzed the protein conformation and the structures of VHH at all levels.
纳米抗体数据库的序列和结构统计以及纳米抗体 VHH 的分子动力学模拟分析
抗体是免疫细胞在外源分子刺激下在体内产生的免疫球蛋白,纳米抗体是一类与传统抗体相似但体积更小的分子。纳米抗体最初是在驼科动物和软骨鱼类中发现的一种抗体,由于其CH1区除保留重链外,没有轻链和重链恒定区,与抗原的结合区仅由重链可变区组成,因此被称为重链抗体,是目前具有完整抗体功能特性的最小抗体。在本实验中,我们通过提取纳米抗体的全部氨基酸序列,分析了它们的共性和差异,并对其中冠状病毒的相关纳米抗体进行了蛋白质建模,然后利用分子动力学模拟分析了RMSD和RMSF数据,最后预测和分析了VHH的蛋白质构象和各级结构。
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