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Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies

机译:分子动力学模拟和对接能够探索控制工程化纳米抗体产量的生物物理因素

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摘要

Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutations by developing a simulation protocol based on all-atom molecular dynamics and whole-molecule docking. The method was tested on two sets of nanobodies characterized experimentally for their biophysical features. One set contained point mutations introduced to humanize a wild type sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae and human hallmarks. The method resulted in accurate scoring approaches to predict experimental yields and enabled to identify the structural modifications induced by mutations. This work is a promising tool for the in silico development of single-domain antibodies and opens the opportunity to customize single functional domains of larger macromolecules.
机译:纳米抗体(VHH)已被证明是用于分子识别的常规抗体的宝贵替代品。它们的小尺寸代表了基于建模的合理诱变的宝贵优势。在这里,我们通过开发基于全原子分子动力学和全分子对接的模拟方案来预测骆驼科纳米抗体序列如何耐受突变的问题。该方法在两组纳米抗体上进行了测试,这些纳米抗体的生物物理特征经过实验表征。一组包含引入以使野生型序列人源化的点突变,第二组中的CDR在具有骆驼科和人类标志的单域框架之间交换。该方法导致了准确的评分方法来预测实验产量,并能够识别由突变诱导的结构修饰。这项工作是计算机开发单域抗体的有前途的工具,并为定制更大的大分子的单个功能域提供了机会。

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