Suppr超能文献

通过分子动力学模拟的细化,达到近乎实验的精度。

Driven to near-experimental accuracy by refinement via molecular dynamics simulations.

机构信息

Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan.

出版信息

Proteins. 2019 Dec;87(12):1263-1275. doi: 10.1002/prot.25759. Epub 2019 Jun 24.

Abstract

Protein model refinement has been an essential part of successful protein structure prediction. Molecular dynamics simulation-based refinement methods have shown consistent improvement of protein models. There had been progress in the extent of refinement for a few years since the idea of ensemble averaging of sampled conformations emerged. There was little progress in CASP12 because conformational sampling was not sufficiently diverse due to harmonic restraints. During CASP13, a new refinement method was tested that achieved significant improvements over CASP12. The new method intended to address previous bottlenecks in the refinement problem by introducing new features. Flat-bottom harmonic restraints replaced harmonic restraints, sampling was performed iteratively, and a new scoring function and selection criteria were used. The new protocol expanded conformational sampling at reduced computational costs. In addition to overall improvements, some models were refined significantly to near-experimental accuracy.

摘要

蛋白质模型的精修一直是成功进行蛋白质结构预测的重要环节。基于分子动力学模拟的精修方法已经证明可以持续改善蛋白质模型。自从出现采样构象的集合平均思想以来,几年来,在精修程度方面已经取得了进展。但是由于调和约束,构象采样不够多样化,在 CASP12 中几乎没有取得进展。在 CASP13 期间,测试了一种新的精修方法,该方法在 CASP12 基础上取得了显著的提高。该新方法旨在通过引入新的特征来解决精修问题中的先前瓶颈。平底调和约束取代了调和约束,迭代进行采样,并且使用了新的评分函数和选择标准。新协议以降低的计算成本扩展了构象采样。除了整体改进之外,一些模型还被显著精修至接近实验精度。

相似文献

4
Evaluation of model refinement in CASP13.CASP13 模型优化评估
Proteins. 2019 Dec;87(12):1249-1262. doi: 10.1002/prot.25794. Epub 2019 Aug 20.

引用本文的文献

5
Modeling SARS-CoV-2 proteins in the CASP-commons experiment.在 CASP-commons 实验中模拟 SARS-CoV-2 蛋白。
Proteins. 2021 Dec;89(12):1987-1996. doi: 10.1002/prot.26231. Epub 2021 Oct 5.

本文引用的文献

1
4
Protein homology model refinement by large-scale energy optimization.利用大规模能量优化进行蛋白质同源模型精修。
Proc Natl Acad Sci U S A. 2018 Mar 20;115(12):3054-3059. doi: 10.1073/pnas.1719115115. Epub 2018 Mar 5.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验