药物发现中的概念密度泛函理论综述。

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Hemangini Rohit, Hiteshi Tandon
{"title":"药物发现中的概念密度泛函理论综述。","authors":"Hemangini Rohit,&nbsp;Hiteshi Tandon","doi":"10.1007/s00894-025-06487-5","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>As a development from Density Functional Theory, Conceptual Density Functional Theory (CDFT) has emerged as a valuable complementary approach in modern drug discovery. Both global and local chemical reactivity descriptors within the framework of CDFT have made it easier to study chemical reactions and how drugs affect their targets. They aid to predict the electronic properties of drug candidates, which simplifies the process of enhancing important characteristics such as their binding affinity, level of selectivity among others. They help in exploring and analyzing inhibitors that work specifically and allow to predict the negative effects those inhibitors may have. When applied with other approaches such as molecular docking and QSAR modeling, CDFT strengthens the whole drug discovery process. This review highlights the increasing importance of CDFT in rational drug design and especially in context of combined efforts with molecular docking and QSAR modeling. It also provides a fundamental knowledge of CDFT-based descriptors and their role in drug discovery process. In addition to highlighting existing challenges, this review outlines potential future directions.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 11","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conceptual density functional theory in drug discovery: an overview\",\"authors\":\"Hemangini Rohit,&nbsp;Hiteshi Tandon\",\"doi\":\"10.1007/s00894-025-06487-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>As a development from Density Functional Theory, Conceptual Density Functional Theory (CDFT) has emerged as a valuable complementary approach in modern drug discovery. Both global and local chemical reactivity descriptors within the framework of CDFT have made it easier to study chemical reactions and how drugs affect their targets. They aid to predict the electronic properties of drug candidates, which simplifies the process of enhancing important characteristics such as their binding affinity, level of selectivity among others. They help in exploring and analyzing inhibitors that work specifically and allow to predict the negative effects those inhibitors may have. When applied with other approaches such as molecular docking and QSAR modeling, CDFT strengthens the whole drug discovery process. This review highlights the increasing importance of CDFT in rational drug design and especially in context of combined efforts with molecular docking and QSAR modeling. It also provides a fundamental knowledge of CDFT-based descriptors and their role in drug discovery process. In addition to highlighting existing challenges, this review outlines potential future directions.</p></div>\",\"PeriodicalId\":651,\"journal\":{\"name\":\"Journal of Molecular Modeling\",\"volume\":\"31 11\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Modeling\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00894-025-06487-5\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06487-5","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:作为密度泛函理论的发展,概念密度泛函理论(CDFT)已经成为现代药物发现中有价值的补充方法。CDFT框架内的全局和局部化学反应性描述符使研究化学反应和药物如何影响其靶标变得更加容易。它们有助于预测候选药物的电子特性,从而简化了增强重要特征(如结合亲和力、选择性水平等)的过程。它们有助于探索和分析具体起作用的抑制剂,并允许预测这些抑制剂可能产生的负面影响。当与分子对接和QSAR建模等其他方法结合使用时,CDFT增强了整个药物发现过程。这篇综述强调了CDFT在合理药物设计中的重要性,特别是在与分子对接和QSAR建模相结合的背景下。它还提供了基于cdft的描述符及其在药物发现过程中的作用的基本知识。除了强调现有的挑战外,本综述还概述了潜在的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptual density functional theory in drug discovery: an overview

Context

As a development from Density Functional Theory, Conceptual Density Functional Theory (CDFT) has emerged as a valuable complementary approach in modern drug discovery. Both global and local chemical reactivity descriptors within the framework of CDFT have made it easier to study chemical reactions and how drugs affect their targets. They aid to predict the electronic properties of drug candidates, which simplifies the process of enhancing important characteristics such as their binding affinity, level of selectivity among others. They help in exploring and analyzing inhibitors that work specifically and allow to predict the negative effects those inhibitors may have. When applied with other approaches such as molecular docking and QSAR modeling, CDFT strengthens the whole drug discovery process. This review highlights the increasing importance of CDFT in rational drug design and especially in context of combined efforts with molecular docking and QSAR modeling. It also provides a fundamental knowledge of CDFT-based descriptors and their role in drug discovery process. In addition to highlighting existing challenges, this review outlines potential future directions.

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
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
×
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:604180095
Book学术官方微信