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基于配体的胺能 G 蛋白偶联受体氟化作用的数据驱动分析。

Data-Driven Analysis of Fluorination of Ligands of Aminergic G Protein Coupled Receptors.

机构信息

Department of Medicinal Chemistry, Maj Institute of Pharmacology, Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.

Department of Life Science Informatics, LIMES Program Unit Chemical Biology and Medicinal Chemistry, B-IT, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 6, D-53115 Bonn, Germany.

出版信息

Biomolecules. 2021 Nov 8;11(11):1647. doi: 10.3390/biom11111647.

Abstract

Currently, G protein-coupled receptors are the targets with the highest number of drugs in many therapeutic areas. Fluorination has become a common strategy in designing highly active biological compounds, as evidenced by the steadily increasing number of newly approved fluorine-containing drugs. Herein, we identified in the ChEMBL database and analysed 1554 target-based FSAR sets (non-fluorinated compounds and their fluorinated analogues) comprising 966 unique non-fluorinated and 2457 unique fluorinated compounds active against 33 different aminergic GPCRs. Although a relatively small number of activity cliffs (defined as a pair of structurally similar compounds showing significant differences of activity -ΔpPot > 1.7) was found in FSAR sets, it is clear that appropriately introduced fluorine can increase ligand potency more than 50-fold. The analysis of matched molecular pairs (MMPs) networks indicated that the fluorination of the aromatic ring showed no clear trend towards a positive or negative effect on affinity; however, a favourable site for a positive potency effect of fluorination was the ortho position. Fluorination of aliphatic fragments more often led to a decrease in biological activity. The results may constitute the rules of thumb for fluorination of aminergic receptor ligands and provide insights into the role of fluorine substitutions in medicinal chemistry.

摘要

目前,在许多治疗领域,G 蛋白偶联受体是拥有最多药物靶点的类别。氟原子取代已经成为设计高活性生物化合物的常用策略,这一点可以从不断增加的新批准含氟药物数量得到证明。在此,我们在 ChEMBL 数据库中确定并分析了 1554 个基于靶标的 FSAR 集(非氟化合物及其氟代类似物),这些 FSAR 集包含 966 个独特的非氟化合物和 2457 个独特的氟代化合物,针对 33 种不同的单胺能 GPCR 具有活性。尽管在 FSAR 集中发现了相对较少的活性悬崖(定义为一对结构相似的化合物,其活性差异显著-ΔpPot > 1.7),但显然适当引入氟原子可以使配体的效力提高 50 多倍。匹配分子对(MMP)网络的分析表明,芳香环的氟化对亲和力没有明显的正或负影响;然而,氟化产生正效力效应的有利位置是邻位。氟化脂肪族片段通常会导致生物活性降低。这些结果可能构成单胺能受体配体氟化的经验法则,并为氟取代在药物化学中的作用提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1663/8615825/0b47202c2691/biomolecules-11-01647-g001.jpg

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