使用阻尼动力学对中分辨率低温电镜图进行精确灵活的原子模型改进

Q3 Biochemistry, Genetics and Molecular Biology
Julio A. Kovacs, Vitold E. Galkin, Willy Wriggers
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引用次数: 22

摘要

近年来,低温电子显微镜技术取得了巨大的进步,使越来越多的生物分子结构的重建达到接近原子的分辨率成为可能。然而,对于解决那些需要建模帮助的情况的拟合和细化方法的需求仍然存在。在本文中,我们描述了优化这种中等分辨率细化方法性能的算法。这些算法旨在自动优化定义灵活拟合模型的密度形状的参数,以及随时间变化的阻尼器截止距离。在某些情况下,可以规定原子距离约束,例如在密度图定义不清的区域,对结构的某些部分进行额外的遏制是有帮助的。此外,我们提出了一个简单的停止准则来估计模拟过程中可能出现的过拟合。新的算法集产生更精确的拟合和精化结果,并产生更快的收敛速度的轨迹,以拟合构象。由于提供给用户的过拟合警告,后者也更可靠。本文描述的算法在Situs软件包中的新型阻尼动力学柔性拟合仿真工具“DDforge”中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics

Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics

Dramatic progress has recently been made in cryo-electron microscopy technologies, which now make possible the reconstruction of a growing number of biomolecular structures to near-atomic resolution. However, the need persists for fitting and refinement approaches that address those cases that require modeling assistance.

In this paper, we describe algorithms to optimize the performance of such medium-resolution refinement methods. These algorithms aim to automatically optimize the parameters that define the density shape of the flexibly fitted model, as well as the time-dependent damper cutoff distance. Atomic distance constraints can be prescribed for cases where extra containment of parts of the structure is helpful, such as in regions where the density map is poorly defined. Also, we propose a simple stopping criterion that estimates the probable onset of overfitting during the simulation.

The new set of algorithms produce more accurate fitting and refinement results, and yield a faster rate of convergence of the trajectory toward the fitted conformation. The latter is also more reliable due to the overfitting warning provided to the user.

The algorithms described here were implemented in the new Damped-Dynamics Flexible Fitting simulation tool “DDforge” in the Situs package.

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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: BMC Structural Biology is an open access, peer-reviewed journal that considers articles on investigations into the structure of biological macromolecules, including solving structures, structural and functional analyses, and computational modeling.
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