研究影响血脑屏障化合物渗透性的分子特征

IF 0.3 Q3 MEDICINE, GENERAL & INTERNAL
Deeksha Saxena, Anju Sharma, Mohammed Siddiqui, Rajnish Kumar
{"title":"研究影响血脑屏障化合物渗透性的分子特征","authors":"Deeksha Saxena, Anju Sharma, Mohammed Siddiqui, Rajnish Kumar","doi":"10.4103/ijam.ijam_13_23","DOIUrl":null,"url":null,"abstract":"Introduction: The blood–brain barrier (BBB) is a semipermeable border that is responsible for maintaining central nervous system (CNS) homeostasis in the brain. Screening compounds based on their BBB permeability is an important consideration for CNS-acting drug development. Several studies have attempted to link physicochemical properties to specific BBB permeability; however, there is no widely accepted rule that can determine how and to what extent molecular properties affect the BBB permeability of compounds. To understand the complex phenomenon of BBB permeability, we explored the vast molecular space of the compounds to determine whether some features could differentiate the compounds based on their BBB permeability. Materials and Methods: A dataset of 1951 compounds containing 1246 BBB-permeable and 705 BBB-nonpermeable molecules was used in the study. Each compound encoded 499 molecular features. Feature selection was performed using feature selection algorithms, feature-to-feature, and feature-to-permeability correlation analysis. The findings of the feature selection algorithms were merged to select the best set of 53 features. Results: The descriptive analysis of the molecular features suggests that nCXr (number of X on ring C[sp3]) feature values for BBB nonpermeable compounds are zero for all considered compounds except for compounds with PubChem ID 71260, Flurithromycin. In addition, the majority of compounds were found to have nCrq (number of ring quaternary C[sp3]) feature values of zero for BBB nonpermeable compounds. For BBB-permeable compounds, MACCS fingerprints 8 feature values for all 1951 compounds were found to be zero except for the compound with PubChem ID 146291, Dezinamide. Conclusion: The descriptive and nonparametric tests confirm that molecular feature distributions are significantly different for BBB permeable and BBB nonpermeable compounds. The following core competencies are addressed in this article: Medical knowledge.","PeriodicalId":36495,"journal":{"name":"International Journal of Academic Medicine","volume":"22 1","pages":"138 - 144"},"PeriodicalIF":0.3000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating molecular features that influence blood − brain barrier permeability of compounds\",\"authors\":\"Deeksha Saxena, Anju Sharma, Mohammed Siddiqui, Rajnish Kumar\",\"doi\":\"10.4103/ijam.ijam_13_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction: The blood–brain barrier (BBB) is a semipermeable border that is responsible for maintaining central nervous system (CNS) homeostasis in the brain. Screening compounds based on their BBB permeability is an important consideration for CNS-acting drug development. Several studies have attempted to link physicochemical properties to specific BBB permeability; however, there is no widely accepted rule that can determine how and to what extent molecular properties affect the BBB permeability of compounds. To understand the complex phenomenon of BBB permeability, we explored the vast molecular space of the compounds to determine whether some features could differentiate the compounds based on their BBB permeability. Materials and Methods: A dataset of 1951 compounds containing 1246 BBB-permeable and 705 BBB-nonpermeable molecules was used in the study. Each compound encoded 499 molecular features. Feature selection was performed using feature selection algorithms, feature-to-feature, and feature-to-permeability correlation analysis. The findings of the feature selection algorithms were merged to select the best set of 53 features. Results: The descriptive analysis of the molecular features suggests that nCXr (number of X on ring C[sp3]) feature values for BBB nonpermeable compounds are zero for all considered compounds except for compounds with PubChem ID 71260, Flurithromycin. In addition, the majority of compounds were found to have nCrq (number of ring quaternary C[sp3]) feature values of zero for BBB nonpermeable compounds. For BBB-permeable compounds, MACCS fingerprints 8 feature values for all 1951 compounds were found to be zero except for the compound with PubChem ID 146291, Dezinamide. Conclusion: The descriptive and nonparametric tests confirm that molecular feature distributions are significantly different for BBB permeable and BBB nonpermeable compounds. The following core competencies are addressed in this article: Medical knowledge.\",\"PeriodicalId\":36495,\"journal\":{\"name\":\"International Journal of Academic Medicine\",\"volume\":\"22 1\",\"pages\":\"138 - 144\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Academic Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ijam.ijam_13_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Academic Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijam.ijam_13_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

摘要

导言:血脑屏障(BBB)是一个半渗透边界,负责维持大脑中枢神经系统(CNS)的平衡。根据 BBB 的渗透性筛选化合物是中枢神经系统作用药物开发的一个重要考虑因素。有几项研究试图将理化性质与特定的 BBB 通透性联系起来;然而,目前还没有一个广为接受的规则来确定分子性质如何以及在多大程度上影响化合物的 BBB 通透性。为了理解复杂的 BBB 渗透性现象,我们探索了化合物的广阔分子空间,以确定是否有一些特征可以根据其 BBB 渗透性来区分化合物。材料与方法本研究使用了包含 1951 种化合物的数据集,其中有 1246 种 BBB 渗透性分子和 705 种 BBB 非渗透性分子。每个化合物编码 499 个分子特征。使用特征选择算法、特征-特征和特征-渗透性相关性分析进行特征选择。合并特征选择算法的结果,选出最佳的 53 个特征集。结果:分子特征的描述性分析表明,除了 PubChem ID 为 71260 的化合物(氟利赛霉素)外,所有考虑的 BBB 非渗透性化合物的 nCXr(C[sp3]环上的 X 数)特征值均为零。此外,对于 BBB 非渗透性化合物,发现大多数化合物的 nCrq(环季 C[sp3] 数量)特征值为零。对于 BBB 可渗透化合物,除了 PubChem ID 为 146291 的化合物 Dezinamide 外,所有 1951 种化合物的 MACCS 指纹 8 特征值均为零。结论描述性检验和非参数检验证实,BBB 可渗透化合物和 BBB 不可渗透化合物的分子特征分布明显不同。本文涉及以下核心能力:医学知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating molecular features that influence blood − brain barrier permeability of compounds
Introduction: The blood–brain barrier (BBB) is a semipermeable border that is responsible for maintaining central nervous system (CNS) homeostasis in the brain. Screening compounds based on their BBB permeability is an important consideration for CNS-acting drug development. Several studies have attempted to link physicochemical properties to specific BBB permeability; however, there is no widely accepted rule that can determine how and to what extent molecular properties affect the BBB permeability of compounds. To understand the complex phenomenon of BBB permeability, we explored the vast molecular space of the compounds to determine whether some features could differentiate the compounds based on their BBB permeability. Materials and Methods: A dataset of 1951 compounds containing 1246 BBB-permeable and 705 BBB-nonpermeable molecules was used in the study. Each compound encoded 499 molecular features. Feature selection was performed using feature selection algorithms, feature-to-feature, and feature-to-permeability correlation analysis. The findings of the feature selection algorithms were merged to select the best set of 53 features. Results: The descriptive analysis of the molecular features suggests that nCXr (number of X on ring C[sp3]) feature values for BBB nonpermeable compounds are zero for all considered compounds except for compounds with PubChem ID 71260, Flurithromycin. In addition, the majority of compounds were found to have nCrq (number of ring quaternary C[sp3]) feature values of zero for BBB nonpermeable compounds. For BBB-permeable compounds, MACCS fingerprints 8 feature values for all 1951 compounds were found to be zero except for the compound with PubChem ID 146291, Dezinamide. Conclusion: The descriptive and nonparametric tests confirm that molecular feature distributions are significantly different for BBB permeable and BBB nonpermeable compounds. The following core competencies are addressed in this article: Medical knowledge.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Academic Medicine
International Journal of Academic Medicine Social Sciences-Education
CiteScore
1.10
自引率
0.00%
发文量
8
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信