Computer Folding of Parallel DNA G-Quadruplex: Hitchhiker's Guide to the Conformational Space

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-12-09 DOI:10.1002/jcc.27535
Michal Janeček, Petra Kührová, Vojtěch Mlýnský, Petr Stadlbauer, Michal Otyepka, Giovanni Bussi, Jiří Šponer, Pavel Banáš
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Abstract

Guanine quadruplexes (GQs) play crucial roles in various biological processes, and understanding their folding pathways provides insight into their stability, dynamics, and functions. This knowledge aids in designing therapeutic strategies, as GQs are potential targets for anticancer drugs and other therapeutics. Although experimental and theoretical techniques have provided valuable insights into different stages of the GQ folding, the structural complexity of GQs poses significant challenges, and our understanding remains incomplete. This study introduces a novel computational protocol for folding an entire GQ from single-strand conformation to its native state. By combining two complementary enhanced sampling techniques, we were able to model folding pathways, encompassing a diverse range of intermediates. Although our investigation of the GQ free energy surface (FES) is focused solely on the folding of the all-anti parallel GQ topology, this protocol has the potential to be adapted for the folding of systems with more complex folding landscapes.

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平行DNA G -四重体的计算机折叠:构象空间的漫游指南
鸟嘌呤四联体(GQs)在各种生物过程中起着至关重要的作用,了解它们的折叠途径有助于深入了解它们的稳定性、动力学和功能。这些知识有助于设计治疗策略,因为智商是抗癌药物和其他治疗方法的潜在目标。尽管实验和理论技术已经为GQ折叠的不同阶段提供了有价值的见解,但GQ结构的复杂性带来了重大挑战,我们的理解仍然不完整。本研究引入了一种新的计算协议,用于将整个GQ从单链构象折叠到其原始状态。通过结合两种互补的增强采样技术,我们能够模拟折叠途径,包括多种中间体。虽然我们对GQ自由能面(FES)的研究仅仅集中在全反平行GQ拓扑的折叠上,但这种协议有可能适用于具有更复杂折叠景观的系统的折叠。
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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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