Feasibility of Combining Biomolecular Conformational Sampling Techniques for Molecular Dynamics Simulation

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Jinzen Ikebe, Hidetoshi Kono
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引用次数: 0

Abstract

We assess the feasibility of combining two advanced molecular dynamics techniques for efficient biomolecular conformational sampling: the generalized ensemble method for enhancing conformational sampling in partial systems (GEPS), such as ALSD and REST2, which dynamically modulate atomic charges in selected regions, and the zero-multipole summation method (ZMM), which efficiently computes electrostatic interactions assuming local electrostatic neutrality. To address whether charge variation in GEPS violates the fundamental assumption of ZMM, we compared conformational ensembles obtained using GEPS combined with either ZMM or a conventional electrostatic calculation method. Our results demonstrate that GEPS and ZMM can be effectively combined without introducing systematic bias. Additionally, we identified a potential limitation of ZMM: in highly polarized systems, it may fail to capture long-range electrostatic repulsion, potentially leading to artifacts. These findings support the practical use of GEPS with ZMM for conformational sampling; however, caution is warranted when applying ZMM to systems with highly delocalized electrostatics.

Abstract Image

结合生物分子构象采样技术进行分子动力学模拟的可行性
我们评估了结合两种先进的分子动力学技术进行高效生物分子构象采样的可行性:在局部系统(如ALSD和REST2)中增强构象采样的广义系综方法(GEPS),可以动态调节选定区域的原子电荷,以及零多极求和方法(ZMM),它可以有效地计算假设局部静电中性的静电相互作用。为了解决GEPS中的电荷变化是否违反了ZMM的基本假设,我们比较了GEPS与ZMM或传统静电计算方法结合得到的构象系综。我们的研究结果表明,GEPS和ZMM可以有效地结合在一起,而不会引入系统偏差。此外,我们确定了ZMM的潜在限制:在高度极化的系统中,它可能无法捕获远程静电排斥,可能导致伪影。这些发现支持了GEPS与ZMM在构象采样中的实际应用;然而,在将ZMM应用于具有高度离域静电的系统时,需要谨慎。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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