Comprehensive investigation on synthesis, computational, antioxidant, antimicrobial, and bio-imaging studies of salicylaldehyde-based Schiff bases

IF 2.218 Q2 Chemistry
Unnati P. Patel , Shweta P. Thakar , Krishna Desai , Ranjitsinh C. Dabhi , Suryajit L. Rathod , Pranav S. Shrivastav , Jayesh J. Maru
{"title":"Comprehensive investigation on synthesis, computational, antioxidant, antimicrobial, and bio-imaging studies of salicylaldehyde-based Schiff bases","authors":"Unnati P. Patel ,&nbsp;Shweta P. Thakar ,&nbsp;Krishna Desai ,&nbsp;Ranjitsinh C. Dabhi ,&nbsp;Suryajit L. Rathod ,&nbsp;Pranav S. Shrivastav ,&nbsp;Jayesh J. Maru","doi":"10.1016/j.cdc.2025.101184","DOIUrl":null,"url":null,"abstract":"<div><div>The escalating resistance to antimicrobial drugs has become a significant public health concern, presenting significant challenges to the treatment and control of bacterial infections, thereby calling for the development of novel antimicrobial agents. Previous studies have reported diverse biological applications of Schiff bases, including antimicrobial, antiviral, and antimalarial. In that regard, we synthesized a series of salicylaldehyde-based Schiff base derivatives and analyzed their chemical structures using IR spectroscopy, <sup>1</sup>H NMR, <sup>13</sup>C NMR, mass spectrometry, and elemental analysis. The synthesized compounds were evaluated for their antimicrobial and antioxidant activities. Further, computational molecular docking was used to assess the drug-likeness properties of seventeen newly synthesized Schiff bases. These compounds were tested against two bacterial protein targets, namely PDB ID: <span><span>3UDI</span><svg><path></path></svg></span> and <span><span>4CJN</span><svg><path></path></svg></span>. Additionally, molecular dynamics simulations of over 100 ns were performed to monitor the complex's behavior and assess its stability over time. The outcomes revealed that the simulated complex remained stable throughout the simulation period. Moreover, the compounds <strong>CF5</strong> and <strong>CF15</strong> were then employed for bio-imaging studies using nematodes as a model organism.</div></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"56 ","pages":"Article 101184"},"PeriodicalIF":2.2180,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830025000060","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0

Abstract

The escalating resistance to antimicrobial drugs has become a significant public health concern, presenting significant challenges to the treatment and control of bacterial infections, thereby calling for the development of novel antimicrobial agents. Previous studies have reported diverse biological applications of Schiff bases, including antimicrobial, antiviral, and antimalarial. In that regard, we synthesized a series of salicylaldehyde-based Schiff base derivatives and analyzed their chemical structures using IR spectroscopy, 1H NMR, 13C NMR, mass spectrometry, and elemental analysis. The synthesized compounds were evaluated for their antimicrobial and antioxidant activities. Further, computational molecular docking was used to assess the drug-likeness properties of seventeen newly synthesized Schiff bases. These compounds were tested against two bacterial protein targets, namely PDB ID: 3UDI and 4CJN. Additionally, molecular dynamics simulations of over 100 ns were performed to monitor the complex's behavior and assess its stability over time. The outcomes revealed that the simulated complex remained stable throughout the simulation period. Moreover, the compounds CF5 and CF15 were then employed for bio-imaging studies using nematodes as a model organism.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
×
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