A computational study on molecular structure, multiple interactions, chemical reactivity and molecular docking studies on 6[D (−) α-amino-phenyl-acetamido] penicillanic acid (ampicillin)

对接(动物) 化学 立体化学 氨苄西林 反应性(心理学) 组合化学 计算化学 生物化学 抗生素 医学 病理 护理部 替代医学
作者
Anuradha Shukla,Eram Khan,Anubha Srivastava,Poonam Tandon,Kirti Sinha
出处
期刊:La Trobe University - OPAL (Open@LaTrobe)
标识
DOI:10.6084/m9.figshare.1585843
摘要

Ampicillin 6[D (−) α-amino-phenyl-acetamido] penicillanic acid (AMP) is a β-lactam antibiotic that is active against both gram-positive and gram-negative. Due to industrial and biological importance of β-lactam antibiotics, an extensive quantum chemical study on AMP was carried out. The theoretical ground-state geometry and electronic structure of AMP are optimised by the DFT/B3LYP/6-311++G(d,p) method and compared with those of the crystal data. Four conformers have been found by potential energy surface scan. Among them, the geometry of the conformer-IV matches well with the experimental value, so we proceed with it. Natural bond orbital analysis has been used to analyse the stability of the molecule arising from hyperconjugative interactions and charge delocalisation. HOMO and LUMO have been plotted and analysed in order to describe the chemical reactivity of the molecule. MEP for these conformers shows that the negative potential is visualised over the O41 atom of C=O group of the molecule. Molecular docking studies show that the title molecule exhibits an antibacterial activity. The interpretation of diverse aspects of chemical bonding has been done by computing global and local reactivity descriptors. The variation of thermodynamic properties (such as C°p, m, S°m, H°m) with temperature has been studied theoretically. The present work will be helpful to systematically understand the structures and the electronic properties of AMP for studying the structure–activity relationship and to develop new drugs and their analytical methods.

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
张宇琪发布了新的文献求助10
刚刚
刚刚
科研的人发布了新的文献求助10
刚刚
刚刚
2秒前
研友_LjDyNZ发布了新的文献求助20
2秒前
charcw发布了新的文献求助10
3秒前
曹小曹发布了新的文献求助10
4秒前
4秒前
4秒前
xiakui发布了新的文献求助10
4秒前
善学以致用应助shi123采纳,获得10
5秒前
5秒前
jygjhgy完成签到,获得积分10
5秒前
6秒前
BaoCullen完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
6秒前
6秒前
Hanoi347应助科研通管家采纳,获得10
7秒前
天天快乐应助tangyuan采纳,获得30
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
科研通AI6应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
7秒前
CodeCraft应助科研通管家采纳,获得10
7秒前
领导范儿应助科研通管家采纳,获得30
7秒前
7秒前
科研通AI6应助科研通管家采纳,获得20
7秒前
7秒前
打打应助科研通管家采纳,获得10
8秒前
所所应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
coolplex发布了新的文献求助10
8秒前
大个应助科研通管家采纳,获得10
8秒前
完美世界应助科研通管家采纳,获得10
8秒前
9秒前
科目三应助yl采纳,获得10
9秒前
小二郎应助科研通管家采纳,获得10
9秒前
Hanoi347应助科研通管家采纳,获得10
9秒前
科研通AI6应助科研通管家采纳,获得10
9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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667262
求助须知:如何正确求助?哪些是违规求助? 4884975
关于积分的说明 15119469
捐赠科研通 4826112
什么是DOI,文献DOI怎么找? 2583765
邀请新用户注册赠送积分活动 1537901
关于科研通互助平台的介绍 1496041