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通过配体结合位点精修从 apo 结构生成全蛋白构象。

Holo Protein Conformation Generation from Apo Structures by Ligand Binding Site Refinement.

机构信息

School of Physics, Huazhong University of Science and Technology, Wuhan430074, Hubei, P. R. China.

出版信息

J Chem Inf Model. 2022 Nov 28;62(22):5806-5820. doi: 10.1021/acs.jcim.2c00895. Epub 2022 Nov 7.

Abstract

An important part in structure-based drug design is the selection of an appropriate protein structure. It has been revealed that a holo protein structure that contains a well-defined binding site is a much better choice than an apo structure in structure-based drug discovery. Therefore, it is valuable to obtain a holo-like protein conformation from apo structures in the case where no holo structure is available. Meeting the need, we present a robust approach to generate reliable holo-like structures from apo structures by ligand binding site refinement with restraints derived from holo templates with low homology. Our method was tested on a test set of 32 proteins from the DUD-E data set and compared with other approaches. It was shown that our method successfully refined the apo structures toward the corresponding holo conformations for 23 of 32 proteins, reducing the average all-heavy-atom RMSD of binding site residues by 0.48 Å. In addition, when evaluated against all the holo structures in the protein data bank, our method can improve the binding site RMSD for 14 of 19 cases that experience significant conformational changes. Furthermore, our refined structures also demonstrate their advantages over the apo structures in ligand binding mode predictions by both rigid docking and flexible docking and in virtual screening on the database of active and decoy ligands from the DUD-E. These results indicate that our method is effective in recovering holo-like conformations and will be valuable in structure-based drug discovery.

摘要

基于结构的药物设计的一个重要部分是选择合适的蛋白质结构。已经揭示,包含定义明确的结合位点的全蛋白结构是基于结构的药物发现中比apo 结构更好的选择。因此,在没有全蛋白结构的情况下,从 apo 结构中获得类似全蛋白的构象是有价值的。为了满足这一需求,我们提出了一种通过配体结合位点精修来从 apo 结构中生成可靠的类似全蛋白结构的方法,该方法使用源自低同源性全蛋白模板的约束。我们的方法在 DUD-E 数据集的 32 个蛋白质测试集上进行了测试,并与其他方法进行了比较。结果表明,我们的方法成功地将 32 个蛋白质中的 23 个 apo 结构精修为相应的全蛋白构象,将结合位点残基的平均所有重原子 RMSD 降低了 0.48Å。此外,当与蛋白质数据库中的所有全蛋白结构进行评估时,我们的方法可以改善 19 个经历显著构象变化的案例中的 14 个结合位点 RMSD。此外,我们的精修结构还通过刚性对接和柔性对接在配体结合模式预测以及 DUD-E 中活性和诱饵配体数据库上的虚拟筛选方面展示了优于 apo 结构的优势。这些结果表明,我们的方法在恢复类似全蛋白的构象方面是有效的,并且将在基于结构的药物发现中具有价值。

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