Understanding the molecular basis of NO-releasing β-cyclodextrin derivatives and ferulic acid co-delivery for advanced therapeutics: A theoretical study

阿魏酸 环糊精 化学 药理学 组合化学 有机化学 纳米技术 医学 生物化学 材料科学
作者
Ji Mu,Minghong Ni,Wei Dong,Chaojie Wang,Yuting Luo,Kun Wang
出处
期刊:Carbohydrate polymer technologies and applications [Elsevier BV]
卷期号:10: 100754-100754 被引量:1
标识
DOI:10.1016/j.carpta.2025.100754
摘要

• Ferulic acid adopts two stable orientations within NO-releasing β-CD derivatives. • Phenyl group insertion exhibit stronger affinity than carboxyl group insertion. • The enhanced stability was attributed to dispersion forces and hydrogen bonds. • The results advanced the development of NO and FA co-delivery systems. The molecular dynamics (MD) simulations and density functional theory (DFT) calculations were employed to examine the structural stability and intricate interplay of supramolecular complexes formed between ferulic acid (FA) and β-cyclodextrins (β-CD), as well as its nitric oxide (NO)-releasing derivatives: N-diazeniumdiolate-modified β-CD-ethylenediamine (E-β-CD) and N-diazeniumdiolate-modified β-CD-diethylenetriamine (D-β-CD). The results indicated that FA adopted two stable orientations within the hydrophobic cavity of various β-CDs, namely carboxyl group insertion (Conf-Ca) and phenyl group insertion (Conf-Ph), primarily driven by the van der Waals forces. Subsequently, 500-ns MD simulations performed on these inclusion complexes demonstrated the improved encapsulation efficacy and robust structural stability for FA@D-β-CD and FA@E-β-CD. Analysis of the interaction energies and energy decomposition on the DFT-optimized structures confirmed that these complexes in Conf-Ph exhibited stronger binding affinity to FA than those in Conf-Ca. Furthermore, the independent gradient model based on Hirshfeld partition (IGMH) and electrostatic potential (ESP) analysis corroborated that the enhanced affinity stemmed from the extensive dispersion interactions and strong hydrogen bonds between the β-CD derivatives and FA. The findings provide fundamental knowledge on the molecular structure and interactions of these complexes, thereby facilitating the development of advanced therapeutic gas and drug co-delivery systems based on NO-releasing β-CD derivatives.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
123完成签到,获得积分10
刚刚
郭小小完成签到 ,获得积分10
1秒前
4秒前
刘克发布了新的文献求助30
4秒前
maxlovol应助huangqian采纳,获得10
5秒前
7秒前
7秒前
JamesPei应助平常的小珍采纳,获得10
9秒前
9秒前
科研通AI6.2应助小轩窗zst采纳,获得10
10秒前
11秒前
12秒前
13秒前
13秒前
阿智完成签到,获得积分10
13秒前
霸气乐菱发布了新的文献求助10
15秒前
15秒前
zzy发布了新的文献求助10
15秒前
小二郎应助xjl采纳,获得10
16秒前
16秒前
yanyan发布了新的文献求助10
17秒前
宁融发布了新的文献求助10
17秒前
正直尔曼发布了新的文献求助10
17秒前
18秒前
田様应助要努力鸭采纳,获得10
19秒前
20秒前
20秒前
淏瀚发布了新的文献求助10
20秒前
21秒前
叶春意完成签到 ,获得积分10
21秒前
爆米花应助跳跳虎采纳,获得10
22秒前
xml发布了新的文献求助10
23秒前
正直尔曼完成签到,获得积分10
24秒前
斯文败类应助阿航采纳,获得10
24秒前
菜心完成签到 ,获得积分10
24秒前
搜集达人应助在写了采纳,获得10
25秒前
今后应助冲动的柚子采纳,获得10
28秒前
32秒前
33秒前
你一定能发表完成签到,获得积分10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631453
求助须知:如何正确求助?哪些是违规求助? 9205878
关于积分的说明 19742999
捐赠科研通 7200762
什么是DOI,文献DOI怎么找? 3274592
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271192