{"title":"抗菌三唑衍生物的分子对接和分子动力学分析:合成、计算和体外研究的启示。","authors":"Shikha Sharma, Naveen Kumawat, Suraj N Mali, Monika Meghani, Nitin Kumar, Bijo Mathew, Sunil Kumar","doi":"10.2174/0113862073314430240730095615","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>In the ongoing fight against bacterial resistance to antibiotics, this study focuses on synthesizing and evaluating 1,2,4-triazole derivatives to explore their potential as new antibacterial agents. 1,2,4-Triazole compounds are promising drug candidates with a wide range of therapeutic effects, including pain relief, antiseptic, antimicrobial, antioxidant, antiurease, anti-inflammatory, diuretic, anticancer, anticonvulsant, antidiabetic, and antimigraine properties.</p><p><strong>Method: </strong>The structures of all the synthesized compounds were identified using their physicochemical properties and spectral techniques, such as IR and NMR. These compounds were then evaluated in molecular docking studies against antimicrobial activity in vitro and further supported by molecular dynamics studies.</p><p><strong>Result: </strong>Compound 7, featuring a 6-chloro group on the phenyl ring, emerged as the most effective against Gram-positive S. aureus compared to the standard antibiotic ciprofloxacin. Docking studies revealed high and comparable affinities for all ten ligands, with compounds 4 and 6 showing the best-docked activity against Penicillin Acylase mutants. Further, compounds 6 and 10 displayed significant affinity against D-alanine-D-alanine ligase (DDL) from Yersinia pestis during 100 ns MD simulation.</p><p><strong>Conclusion: </strong>Notably, compound 7 demonstrated the highest binding score to the 5C1P protein, suggesting its potential as a lead molecule for the development of potent and safer antimicrobial agents. This research contributes valuable insights into addressing the escalating challenge of bacterial resistance.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In Silico Molecular Docking and Molecular Dynamics Analysis of Antimicrobial Triazole Derivatives: Insights from Synthesis, Computational and In Vitro Studies.\",\"authors\":\"Shikha Sharma, Naveen Kumawat, Suraj N Mali, Monika Meghani, Nitin Kumar, Bijo Mathew, Sunil Kumar\",\"doi\":\"10.2174/0113862073314430240730095615\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>In the ongoing fight against bacterial resistance to antibiotics, this study focuses on synthesizing and evaluating 1,2,4-triazole derivatives to explore their potential as new antibacterial agents. 1,2,4-Triazole compounds are promising drug candidates with a wide range of therapeutic effects, including pain relief, antiseptic, antimicrobial, antioxidant, antiurease, anti-inflammatory, diuretic, anticancer, anticonvulsant, antidiabetic, and antimigraine properties.</p><p><strong>Method: </strong>The structures of all the synthesized compounds were identified using their physicochemical properties and spectral techniques, such as IR and NMR. These compounds were then evaluated in molecular docking studies against antimicrobial activity in vitro and further supported by molecular dynamics studies.</p><p><strong>Result: </strong>Compound 7, featuring a 6-chloro group on the phenyl ring, emerged as the most effective against Gram-positive S. aureus compared to the standard antibiotic ciprofloxacin. Docking studies revealed high and comparable affinities for all ten ligands, with compounds 4 and 6 showing the best-docked activity against Penicillin Acylase mutants. Further, compounds 6 and 10 displayed significant affinity against D-alanine-D-alanine ligase (DDL) from Yersinia pestis during 100 ns MD simulation.</p><p><strong>Conclusion: </strong>Notably, compound 7 demonstrated the highest binding score to the 5C1P protein, suggesting its potential as a lead molecule for the development of potent and safer antimicrobial agents. 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In Silico Molecular Docking and Molecular Dynamics Analysis of Antimicrobial Triazole Derivatives: Insights from Synthesis, Computational and In Vitro Studies.
Introduction: In the ongoing fight against bacterial resistance to antibiotics, this study focuses on synthesizing and evaluating 1,2,4-triazole derivatives to explore their potential as new antibacterial agents. 1,2,4-Triazole compounds are promising drug candidates with a wide range of therapeutic effects, including pain relief, antiseptic, antimicrobial, antioxidant, antiurease, anti-inflammatory, diuretic, anticancer, anticonvulsant, antidiabetic, and antimigraine properties.
Method: The structures of all the synthesized compounds were identified using their physicochemical properties and spectral techniques, such as IR and NMR. These compounds were then evaluated in molecular docking studies against antimicrobial activity in vitro and further supported by molecular dynamics studies.
Result: Compound 7, featuring a 6-chloro group on the phenyl ring, emerged as the most effective against Gram-positive S. aureus compared to the standard antibiotic ciprofloxacin. Docking studies revealed high and comparable affinities for all ten ligands, with compounds 4 and 6 showing the best-docked activity against Penicillin Acylase mutants. Further, compounds 6 and 10 displayed significant affinity against D-alanine-D-alanine ligase (DDL) from Yersinia pestis during 100 ns MD simulation.
Conclusion: Notably, compound 7 demonstrated the highest binding score to the 5C1P protein, suggesting its potential as a lead molecule for the development of potent and safer antimicrobial agents. This research contributes valuable insights into addressing the escalating challenge of bacterial resistance.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
Technology transfer, legal and licensing issues
Patents.