{"title":"利用分子动力学模拟、基本动力学和 MMPBSA 评估天然化合物作为 AccD6(结核分枝杆菌脂肪酸生物合成途径中的一个关键药物靶点)潜在抑制剂的效果","authors":"Chandra Jyoti Singha, Ramadas Krishna","doi":"10.1016/j.jmgm.2024.108898","DOIUrl":null,"url":null,"abstract":"<div><div>Antibiotic resistance in <em>Mycobacterium tuberculosis</em>, the primary causative agent of the tuberculosis disease is an ever growing threat especially in developing and underdeveloped countries. Isoniazid is a commonly used first line anti-tuberculosis drug used during the first phase of tuberculosis treatment. However, due to its improper use, many strains of <em>Mycobacterium tuberculosis</em> have acquired resistance to the drug. Advancements in next generation sequencing technologies, such as transcriptomics have paved way for identifying alternative drug targets based on the differential expression pattern of genes. Therefore, this study makes use of RNA-Seq data of <em>Mycobacterium tuberculosis</em> isolates treated with different concentrations of isoniazid to identify genes that can be proposed as drug targets. From the differential expression analysis, it was observed that four genes were significantly upregulated under all the conditions. Among the four genes, <em>accD6</em> was selected as the drug target for virtual screening and molecular dynamics studies, because of its role in fatty acid elongation and contribution to the synthesis of mycolic acids. The protein-protein interaction network and gene ontology based functional enrichment studies show an enrichment in fatty acid biosynthesis related pathways. Furthermore, virtual screening studies successfully screened the top three natural inhibitor molecules with satisfactory ADME properties and a better glide score than the reference compound, NCI-172033. The trajectory analysis, essential dynamics studies and MMPBSA analysis, concluded that among the hit molecules, NPC41982, a thiazole derivative showed the most promising results and can be considered as a potential drug candidate.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"134 ","pages":"Article 108898"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular dynamics simulations, essential dynamics and MMPBSA to evaluate natural compounds as potential inhibitors for AccD6, a key drug target in the fatty acid biosynthesis pathway in Mycobacterium tuberculosis\",\"authors\":\"Chandra Jyoti Singha, Ramadas Krishna\",\"doi\":\"10.1016/j.jmgm.2024.108898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Antibiotic resistance in <em>Mycobacterium tuberculosis</em>, the primary causative agent of the tuberculosis disease is an ever growing threat especially in developing and underdeveloped countries. Isoniazid is a commonly used first line anti-tuberculosis drug used during the first phase of tuberculosis treatment. However, due to its improper use, many strains of <em>Mycobacterium tuberculosis</em> have acquired resistance to the drug. Advancements in next generation sequencing technologies, such as transcriptomics have paved way for identifying alternative drug targets based on the differential expression pattern of genes. Therefore, this study makes use of RNA-Seq data of <em>Mycobacterium tuberculosis</em> isolates treated with different concentrations of isoniazid to identify genes that can be proposed as drug targets. From the differential expression analysis, it was observed that four genes were significantly upregulated under all the conditions. Among the four genes, <em>accD6</em> was selected as the drug target for virtual screening and molecular dynamics studies, because of its role in fatty acid elongation and contribution to the synthesis of mycolic acids. The protein-protein interaction network and gene ontology based functional enrichment studies show an enrichment in fatty acid biosynthesis related pathways. Furthermore, virtual screening studies successfully screened the top three natural inhibitor molecules with satisfactory ADME properties and a better glide score than the reference compound, NCI-172033. The trajectory analysis, essential dynamics studies and MMPBSA analysis, concluded that among the hit molecules, NPC41982, a thiazole derivative showed the most promising results and can be considered as a potential drug candidate.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"134 \",\"pages\":\"Article 108898\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326324001980\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326324001980","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Molecular dynamics simulations, essential dynamics and MMPBSA to evaluate natural compounds as potential inhibitors for AccD6, a key drug target in the fatty acid biosynthesis pathway in Mycobacterium tuberculosis
Antibiotic resistance in Mycobacterium tuberculosis, the primary causative agent of the tuberculosis disease is an ever growing threat especially in developing and underdeveloped countries. Isoniazid is a commonly used first line anti-tuberculosis drug used during the first phase of tuberculosis treatment. However, due to its improper use, many strains of Mycobacterium tuberculosis have acquired resistance to the drug. Advancements in next generation sequencing technologies, such as transcriptomics have paved way for identifying alternative drug targets based on the differential expression pattern of genes. Therefore, this study makes use of RNA-Seq data of Mycobacterium tuberculosis isolates treated with different concentrations of isoniazid to identify genes that can be proposed as drug targets. From the differential expression analysis, it was observed that four genes were significantly upregulated under all the conditions. Among the four genes, accD6 was selected as the drug target for virtual screening and molecular dynamics studies, because of its role in fatty acid elongation and contribution to the synthesis of mycolic acids. The protein-protein interaction network and gene ontology based functional enrichment studies show an enrichment in fatty acid biosynthesis related pathways. Furthermore, virtual screening studies successfully screened the top three natural inhibitor molecules with satisfactory ADME properties and a better glide score than the reference compound, NCI-172033. The trajectory analysis, essential dynamics studies and MMPBSA analysis, concluded that among the hit molecules, NPC41982, a thiazole derivative showed the most promising results and can be considered as a potential drug candidate.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.