Assessment of Nucleobase Protomeric and Tautomeric States in Nucleic Acid Structures for Interaction Analysis and Structure-Based Ligand Design

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-05-20 DOI:10.1021/acs.jcim.4c00520
Christian Kersten*, Philippe Archambault and Luca P. Köhler, 
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Abstract

With increasing interest in RNA as a therapeutic and a potential target, the role of RNA structures has become more important. Even slight changes in nucleobases, such as modifications or protomeric and tautomeric states, can have a large impact on RNA structure and function, while local environments in turn affect protonation and tautomerization. In this work, the application of empirical tools for pKa and tautomer prediction for RNA modifications was elucidated and compared with ab initio quantum mechanics (QM) methods and expanded toward macromolecular RNA structures, where QM is no longer feasible. In this regard, the Protonate3D functionality within the molecular operating environment (MOE) was expanded for nucleobase protomer and tautomer predictions and applied to reported examples of altered protonation states depending on the local environment. Overall, observations of nonstandard protomers and tautomers were well reproduced, including structural C+G:C(A) and A+GG motifs, several mismatches, and protonation of adenosine or cytidine as the general acid in nucleolytic ribozymes. Special cases, such as cobalt hexamine-soaked complexes or the deprotonation of guanosine as the general base in nucleolytic ribozymes, proved to be challenging. The collected set of examples shall serve as a starting point for the development of further RNA protonation prediction tools, while the presented Protonate3D implementation already delivers reasonable protonation predictions for RNA and DNA macromolecules. For cases where higher accuracy is needed, like following catalytic pathways of ribozymes, incorporation of QM-based methods can build upon the Protonate3D-generated starting structures. Likewise, this protonation prediction can be used for structure-based RNA-ligand design approaches.

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评估核酸结构中的核碱基原生态和同分异构态,以进行相互作用分析和基于结构的配体设计。
随着人们对 RNA 作为一种疗法和潜在靶点的兴趣与日俱增,RNA 结构的作用也变得越来越重要。即使是核碱基的微小变化,如修饰或原构体和同分异构体状态,也会对 RNA 的结构和功能产生巨大影响,而局部环境反过来又会影响质子化和同分异构体。在这项工作中,阐明了用于预测 RNA 修饰的 pKa 和同分异构体的经验工具的应用,并将其与自证量子力学(QM)方法进行了比较,还将其扩展到大分子 RNA 结构,因为在这种结构中 QM 已不再可行。在这方面,Protonate3D 在分子操作环境(MOE)中的功能被扩展用于核碱基质子和同系物预测,并被应用于已报道的根据局部环境改变质子状态的实例。总体而言,对非标准原体和同素异形体的观察得到了很好的再现,包括结构上的 C+G:C(A) 和 A+GG图案、几种错配以及腺苷或胞苷作为核酸核酶中一般酸的质子化。特殊情况,如六胺钴浸泡复合物或核酸核酶中作为一般碱基的鸟苷酸的去质子化,证明具有挑战性。所收集的示例集将作为进一步开发 RNA 质子化预测工具的起点,而所介绍的 Protonate3D 实现已经为 RNA 和 DNA 大分子提供了合理的质子化预测。在需要更高精度的情况下,例如遵循核糖酶的催化路径,可以在 Protonate3D 生成的起始结构的基础上结合基于 QM 的方法。同样,质子化预测也可用于基于结构的 RNA 配体设计方法。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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