Modeling Carbon Basicity.

IF 3.1 4区 医学 Q3 CHEMISTRY, MEDICINAL Molecular Informatics Pub Date : 2025-03-01 DOI:10.1002/minf.202400296
Robert Fraczkiewicz, Marvin Waldman
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引用次数: 0

Abstract

This work presents a predictive model of aqueous ionization constants (pKa) of protonatable carbons in certain aromatic rings. The phenomenon of carbon atoms sometimes acting as a stable and reversible base accepting a proton in water solution is surprisingly little recognized in medicinal chemistry, although known to general chemists for the past 60+years. We present the development and results for two predictive models: 1) identifying the most basic carbon in a ring, and 2) calculating the resulting microscopic pKa value. Both models were incorporated into our global (i. e., taking all ionizable groups into account) S+pKa model.[1-2].

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碳碱度建模。
本文提出了一种芳香环中可质子化碳水溶液电离常数(pKa)的预测模型。碳原子有时在水溶液中作为稳定可逆的碱接受质子的现象在药物化学中很少被认识到,尽管在过去的60多年里一般化学家都知道。我们介绍了两个预测模型的发展和结果:1)确定环中最基本的碳,2)计算得到的微观pKa值。这两个模型都被纳入了我们的全球(即。(考虑了所有可电离基团)S+pKa模型[1-2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Informatics
Molecular Informatics CHEMISTRY, MEDICINAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.30
自引率
2.80%
发文量
70
审稿时长
3 months
期刊介绍: Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010. Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation. The journal''s scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.
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