Exploring chemical space, scaffold diversity, and activity landscape of spleen tyrosine kinase active inhibitors.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY SAR and QSAR in Environmental Research Pub Date : 2024-04-01 Epub Date: 2024-05-01 DOI:10.1080/1062936X.2024.2345618
Danishuddin, M Z Malik, M Kashif, S Haque, J J Kim
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Abstract

This study aims to comprehensively characterize 576 inhibitors targeting Spleen Tyrosine Kinase (SYK), a non-receptor tyrosine kinase primarily found in haematopoietic cells, with significant relevance to B-cell receptor function. The objective is to gain insights into the structural requirements essential for potent activity, with implications for various therapeutic applications. Through chemoinformatic analyses, we focus on exploring the chemical space, scaffold diversity, and structure-activity relationships (SAR). By leveraging ECFP4 and MACCS fingerprints, we elucidate the relationship between chemical compounds and visualize the network using RDKit and NetworkX platforms. Additionally, compound clustering and visualization of the associated chemical space aid in understanding overall diversity. The outcomes include identifying consensus diversity patterns to assess global chemical space diversity. Furthermore, incorporating pairwise activity differences enhances the activity landscape visualization, revealing heterogeneous SAR patterns. The dataset analysed in this work has three activity cliff generators, CHEMBL3415598, CHEMBL4780257, and CHEMBL3265037, compounds with high affinity to SYK are very similar to compounds analogues with reasonable potency differences. Overall, this study provides a critical analysis of SYK inhibitors, uncovering potential scaffolds and chemical moieties crucial for their activity, thereby advancing the understanding of their therapeutic potential.

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探索脾脏酪氨酸激酶活性抑制剂的化学空间、支架多样性和活性格局。
脾酪氨酸激酶(SYK)是一种主要存在于造血细胞中的非受体酪氨酸激酶,与 B 细胞受体功能密切相关。研究的目的是深入了解强效活性所必需的结构要求,从而对各种治疗应用产生影响。通过化学信息学分析,我们重点探索了化学空间、支架多样性和结构-活性关系(SAR)。通过利用 ECFP4 和 MACCS 指纹,我们阐明了化合物之间的关系,并利用 RDKit 和 NetworkX 平台实现了网络的可视化。此外,化合物聚类和相关化学空间的可视化有助于了解整体多样性。成果包括确定共识多样性模式,以评估全球化学空间多样性。此外,结合成对活性差异增强了活性景观可视化,揭示了异质性 SAR 模式。本研究分析的数据集有三个活性悬崖生成器,即 CHEMBL3415598、CHEMBL4780257 和 CHEMBL3265037,与 SYK 具有高亲和力的化合物与具有合理效力差异的化合物类似物非常相似。总之,本研究对 SYK 抑制剂进行了批判性分析,发现了对其活性至关重要的潜在支架和化学分子,从而推动了对其治疗潜力的认识。
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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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