A Topological and Spatial Analysis of FDA-Approved Drugs, Blood-Brain Barrier Permeants, Natural Products, and Metabolites

IF 3.5 4区 医学 Q2 CHEMISTRY, MEDICINAL
ChemMedChem Pub Date : 2026-08-27 DOI:10.1002/cmdc.70462
Vijay H. Masand, Sami A. Al-Hussain, Mohammed Sharique Ahmed Quadri, Abdul Samad, Magdi E. A. Zaki
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Abstract

In this study, we present a comprehensive structural analysis of four distinct chemical libraries: FDA-approved drugs, blood-brain barrier (BBB) permeable agents, natural products (UNPDA), and human metabolites. Our multidimensional profiling reveals fundamental divergences in molecular architecture. While synthetic drugs (FDA) and CNS-active agents (BBB) follow continuous, Gaussian-like distributions for carbon hybridization, natural products exhibit biosynthetic quantization, discrete, high-intensity abundance spikes at C19 and C30, corresponding to steroid and triterpene scaffolds. Stereochemical analysis identifies a chirality-structure lock in natural products, where stereoisomer density peaks significantly at these same integers (Avg. 3.53 isomers/mol), a complexity feature absent in the diffuse distribution of synthetic libraries. Topologically, we identify hyper-globularity as a distinct signature for CNS permeability. Radial distribution function (RDF) analysis demonstrates that BBB agents possess a highly compressed aliphatic core, packing 93.2% of their sp3 mass within a 3 Å radius, compared to 84.4% for general FDA therapeutics. Furthermore, elemental profiling reveals a heteroatom gap: synthetic drugs exhibit a high electronegative atom-to-carbon ratio (0.43), whereas BBB agents (0.33) converge with the lipophilic profile of natural products (0.32), suggesting that CNS penetration requires a biomimetic reduction in polarity. These findings establish new quantitative metrics for designing neuro-compatible and biomimetic pharmacophores.

fda批准的药物、血脑屏障渗透剂、天然产物和代谢物的拓扑和空间分析
在这项研究中,我们对四种不同的化学文库进行了全面的结构分析:fda批准的药物、血脑屏障(BBB)渗透性药物、天然产物(UNPDA)和人体代谢物。我们的多维剖析揭示了分子结构的根本分歧。合成药物(FDA)和cns活性药物(BBB)遵循连续的类高斯分布进行碳杂交,而天然产物在C19和C30处表现出生物合成量化、离散的高强度丰度峰值,对应于类固醇和三萜支架。立体化学分析确定了天然产物的手性结构锁定,其中立体异构体密度在这些相同的整数上显著达到峰值(平均3.53异构体/mol),这是合成文库弥散分布中所缺乏的复杂性特征。在拓扑学上,我们认为超球状性是中枢神经系统渗透率的一个明显特征。径向分布函数(RDF)分析表明,BBB药物具有高度压缩的脂肪族核心,其sp3质量的93.2%在3 Å半径内,而一般FDA治疗药物的sp3质量为84.4%。此外,元素谱分析揭示了杂原子间隙:合成药物表现出高电负性的原子碳比(0.43),而血脑屏障药物(0.33)与天然产物的亲脂性谱(0.32)趋同,表明穿透中枢神经系统需要仿生的极性降低。这些发现为设计神经相容和仿生药物载体建立了新的定量指标。
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来源期刊
ChemMedChem
ChemMedChem 医学-药学
CiteScore
6.70
自引率
2.90%
发文量
280
审稿时长
1 months
期刊介绍: Quality research. Outstanding publications. With an impact factor of 3.124 (2019), ChemMedChem is a top journal for research at the interface of chemistry, biology and medicine. It is published on behalf of Chemistry Europe, an association of 16 European chemical societies. ChemMedChem publishes primary as well as critical secondary and tertiary information from authors across and for the world. Its mission is to integrate the wide and flourishing field of medicinal and pharmaceutical sciences, ranging from drug design and discovery to drug development and delivery, from molecular modeling to combinatorial chemistry, from target validation to lead generation and ADMET studies. ChemMedChem typically covers topics on small molecules, therapeutic macromolecules, peptides, peptidomimetics, and aptamers, protein-drug conjugates, nucleic acid therapies, and beginning 2017, nanomedicine, particularly 1) targeted nanodelivery, 2) theranostic nanoparticles, and 3) nanodrugs. Contents ChemMedChem publishes an attractive mixture of: Full Papers and Communications Reviews and Minireviews Patent Reviews Highlights and Concepts Book and Multimedia Reviews.
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