{"title":"抗龋药物设计的进展与挑战:计算机方法的应用。","authors":"Zhongxin Chen, Xinyao Zhao, Hanyu Zheng, Yufei Wang, Linglin Zhang","doi":"10.1016/j.jpha.2024.101161","DOIUrl":null,"url":null,"abstract":"<p><p>Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially <i>Streptococcus mutans,</i> because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of <i>in silico</i> approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the <i>in silico</i> approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of <i>S. mutans</i>, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.</p>","PeriodicalId":94338,"journal":{"name":"Journal of pharmaceutical analysis","volume":"15 6","pages":"101161"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12268077/pdf/","citationCount":"0","resultStr":"{\"title\":\"Advances and challenges in drug design against dental caries: Application of <i>in silico</i> approaches.\",\"authors\":\"Zhongxin Chen, Xinyao Zhao, Hanyu Zheng, Yufei Wang, Linglin Zhang\",\"doi\":\"10.1016/j.jpha.2024.101161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially <i>Streptococcus mutans,</i> because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of <i>in silico</i> approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the <i>in silico</i> approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of <i>S. mutans</i>, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.</p>\",\"PeriodicalId\":94338,\"journal\":{\"name\":\"Journal of pharmaceutical analysis\",\"volume\":\"15 6\",\"pages\":\"101161\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12268077/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pharmaceutical analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jpha.2024.101161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pharmaceutical analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.jpha.2024.101161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/9 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
龋齿是一种以蛀牙为特征的慢性疾病,在疾病负担中排名第二,主要由致龋细菌,特别是变形链球菌引起,因为它具有致酸、致酸和形成生物膜的能力。为克服常规抗毒药物的局限性,开发新型靶向抗毒药物一直是防治龋病的热点。目前的研究代表了对针对龋齿的药物设计的计算机方法的最新回顾,这些方法越来越多地成为生物化学尝试的有力补充。首先,我们将计算机辅助药物设计(computer-aided drug design, CADD)和人工智能辅助药物设计(AI-assisted drug design, AIDD)分为两类,并重点介绍了它们所包含的具体方法和模型。随后,我们详细设计了针对变形链球菌单一或多个致蛀毒靶点的抗毒药物,如葡萄糖基转移酶(Gtfs)、抗原I/II (AgI/II)、分选酶A (SrtA)、VicRK信号转导系统和超氧化物歧化酶(sod)。最后,我们概述了当前该领域面临的机遇和挑战,以帮助CADD和AIDD在抗毒药物设计中的未来努力和应用。
Advances and challenges in drug design against dental caries: Application of in silico approaches.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.