Computational investigations on the anaesthetic drug, tetracaine (TCA) by DFT, TD-DFT, molecular docking, and molecular dynamic simulation analysis

丁卡因 分子动力学 对接(动物) 计算化学 局部麻醉 药品 化学 药理学 医学 麻醉 护理部 利多卡因
作者
Naved Azum,Khalid A. Alzahrani,Muhammad Tariq Saeed Chani,Malik Abdul Rub,Hadi M. Marwani,Saleem Javed,Khasan S. Karimov
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:: 1-14
标识
DOI:10.1080/07391102.2025.2503977
摘要

The current investigation deals with the theoretical exploration of tetracaine (TCA) employing density function theory (DFT), time-dependent density function theory (TD-DFT), molecular docking (MD), and molecular dynamic simulation (MDS). The B3LYP method was utilised for this study in conjunction with a 6-31++G(d,p) basis set. We computed the charge distribution of the molecule tetracaine using molecular electrostatic potential (MEP) analysis, which indicate how molecules interact and what kinds of chemical bonds they have. Additionally, population analysis and Fukui function analysis have explored charges on the atoms. This comprehensive study also includes an assessment of various parameters such as chemical hardness, chemical softness, and electrophilicity index through the Frontier Molecular Orbital (FMO) investigation. The molecule's non-linear optical (NLO) properties were conducted to ascertain the hyperpolarizability and polarity values. Lastly, molecular docking was used to look at how a ligand and two protein receptors, named monoamine oxidase A (code: 2BXR) and monoamine oxidase B (code: 1OJD), interact with a ligand. The resulting binding energies were determined to be -7.7 and -7.6 kcal/mol, respectively. Following the completion of the docking process, an investigation of conformational behaviour was conducted with the assistance of molecular dynamic simulation (MDS). These findings indicate the possible applicability of this interaction in the field of medicine. This study has the potential to be utilized in the future to advance the creation of amphiphilic drugs.
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
夏梓硕发布了新的文献求助10
1秒前
1秒前
黄继刘发布了新的文献求助10
2秒前
123发布了新的文献求助10
3秒前
Smf完成签到,获得积分10
3秒前
4秒前
小蘑菇应助小涵采纳,获得20
4秒前
gene发布了新的文献求助10
5秒前
米奇奇奇完成签到,获得积分10
5秒前
5秒前
wanci应助啾啾采纳,获得10
7秒前
7秒前
睡醒精神好完成签到 ,获得积分10
7秒前
7秒前
8秒前
FashionBoy应助啵啵采纳,获得10
8秒前
9秒前
10秒前
qq完成签到 ,获得积分10
10秒前
angewbaby完成签到,获得积分10
10秒前
七月流火重新开启了kou文献应助
11秒前
YANG_Shuo发布了新的文献求助10
11秒前
12秒前
丘比特应助张憨憨采纳,获得10
12秒前
12秒前
陶俊祺完成签到,获得积分10
14秒前
叶揽风声完成签到,获得积分10
14秒前
Lchno1完成签到 ,获得积分10
16秒前
田様应助HP采纳,获得10
16秒前
16秒前
linyink发布了新的文献求助10
16秒前
NexusExplorer应助叶揽风声采纳,获得10
16秒前
Owen应助夏梓硕采纳,获得10
16秒前
17秒前
所所应助PhD_Lee73采纳,获得10
17秒前
宇心发布了新的文献求助30
17秒前
zkL完成签到,获得积分10
17秒前
LI发布了新的文献求助10
17秒前
17秒前
17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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7771049
求助须知:如何正确求助?哪些是违规求助? 9313830
关于积分的说明 20335640
捐赠科研通 7356303
什么是DOI,文献DOI怎么找? 3316608
关于科研通互助平台的介绍 2465220
邀请新用户注册赠送积分活动 2331516