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Towards computional specificity screening of DNA-binding proteins

机译:进行DNA结合蛋白的计算特异性筛选

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摘要

DNA-binding proteins are key players in the regulation of gene expression and, hence, are essential for cell function. Chimeric proteins composed of DNA-binding domains and DNA modifying domains allow for precise genome manipulation. A key prerequisite is the specific recognition of a particular nucleotide sequence. Here, we quantitatively assess the binding affinity of DNA-binding proteins by molecular dynamics-based alchemical free energy simulations. A computational framework was developed to automatically set up in silico screening assays and estimate free energy differences using two independent procedures, based on equilibrium and non-equlibrium transformation pathways. The influence of simulation times on the accuracy of both procedures is presented. The binding specificity of a zinc-finger transcription factor to several sequences is calculated, and agreement with experimental data is shown. Finally we propose an in silico screening strategy aiming at the derivation of full specificity profiles for DNA-binding proteins.
机译:DNA结合蛋白是调节基因表达的关键因素,因此对于细胞功能至关重要。由DNA结合结构域和DNA修饰结构域组成的嵌合蛋白可实现精确的基因组操作。一个关键的先决条件是特定核苷酸序列的特异性识别。在这里,我们通过基于分子动力学的炼金术自由能模拟定量评估DNA结合蛋白的结合亲和力。开发了一种计算框架,可基于平衡和非平衡转化途径,使用两个独立的程序自动设置计算机筛选测试并估算自由能差异。给出了仿真时间对两种程序精度的影响。计算锌指转录因子对几个序列的结合特异性,并显示与实验数据的一致性。最后,我们提出了计算机筛选策略,旨在推导DNA结合蛋白的完整特异性。

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