{"title":"Modeling neurological disease processes using process algebra","authors":"Thomas J. Anastasio","doi":"10.1016/j.ddmod.2017.02.004","DOIUrl":null,"url":null,"abstract":"<div><p><span>The sheer complexity of pathogenic neurological processes poses a barrier to understanding that impedes the discovery of more effective drugs or drug combinations for the treatment of neurological disorders. Going forward, the principle means of confronting neurological complexity will be computational modeling, and the effort should employ every available tool. Process algebra is a powerful tool developed in computer science for the purpose of analyzing complicated systems. Its recent appearance in computational neuroscience promises to bring new insights into neurological processes. It will be of particular value for </span><em>in-silico</em> screens of drugs and drug combinations, and will allow modelers not only to show that a particular treatment may be effective but also to reveal its potentially complex mechanism of action.</p></div>","PeriodicalId":39774,"journal":{"name":"Drug Discovery Today: Disease Models","volume":"19 ","pages":"Pages 43-49"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ddmod.2017.02.004","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Discovery Today: Disease Models","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1740675717300105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 2
Abstract
The sheer complexity of pathogenic neurological processes poses a barrier to understanding that impedes the discovery of more effective drugs or drug combinations for the treatment of neurological disorders. Going forward, the principle means of confronting neurological complexity will be computational modeling, and the effort should employ every available tool. Process algebra is a powerful tool developed in computer science for the purpose of analyzing complicated systems. Its recent appearance in computational neuroscience promises to bring new insights into neurological processes. It will be of particular value for in-silico screens of drugs and drug combinations, and will allow modelers not only to show that a particular treatment may be effective but also to reveal its potentially complex mechanism of action.
期刊介绍：
Drug Discovery Today: Disease Models discusses the non-human experimental models through which inference is drawn regarding the molecular aetiology and pathogenesis of human disease. It provides critical analysis and evaluation of which models can genuinely inform the research community about the direct process of human disease, those which may have value in basic toxicology, and those which are simply designed for effective expression and raw characterisation.
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