Review of quantitative systems pharmacological modeling in thrombosis.

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Limei Cheng, Guo-Wei Wei, Tarek Leil
{"title":"Review of quantitative systems pharmacological modeling in thrombosis.","authors":"Limei Cheng,&nbsp;Guo-Wei Wei,&nbsp;Tarek Leil","doi":"10.4310/cis.2019.v19.n3.a1","DOIUrl":null,"url":null,"abstract":"<p><p>Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same critical pathways of hemostasis. Analysis of these complex processes and pathways using quantitative systems pharmacological model-based approach can facilitate the delineation of the causal pathways that lead to the emergence of thrombosis. In this paper, we provide an overview of the main molecular and physiological mechanisms associated with hemostasis and thrombosis, and review the models and quantitative system pharmacological modeling approaches that are relevant in characterizing the interplay among the multiple factors and pathways of thrombosis. An emphasis is given to computational models for drug development. Future trends are discussed.</p>","PeriodicalId":45018,"journal":{"name":"Communications in Information and Systems","volume":"19 3","pages":"219-240"},"PeriodicalIF":0.6000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153064/pdf/nihms-1069336.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Information and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4310/cis.2019.v19.n3.a1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/12/6 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 3

Abstract

Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same critical pathways of hemostasis. Analysis of these complex processes and pathways using quantitative systems pharmacological model-based approach can facilitate the delineation of the causal pathways that lead to the emergence of thrombosis. In this paper, we provide an overview of the main molecular and physiological mechanisms associated with hemostasis and thrombosis, and review the models and quantitative system pharmacological modeling approaches that are relevant in characterizing the interplay among the multiple factors and pathways of thrombosis. An emphasis is given to computational models for drug development. Future trends are discussed.

Abstract Image

Abstract Image

Abstract Image

血栓形成定量系统药理模型研究进展。
止血和血栓形成通常被认为是同一凝血机制的两个方面,而止血是防止出血的自然保护机制,血栓形成是血管内异常形成的血块,阻断了正常的血液流动。迄今为止的证据表明,至少动脉血栓形成是由相同的关键止血途径引起的。使用基于定量系统药理学模型的方法分析这些复杂的过程和途径可以促进导致血栓形成的因果途径的描述。在本文中,我们概述了与止血和血栓形成相关的主要分子和生理机制,并综述了与表征血栓形成的多因素和途径之间相互作用相关的模型和定量系统药理学建模方法。重点是药物开发的计算模型。讨论了未来的发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Communications in Information and Systems
Communications in Information and Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
0.00%
发文量
15
×
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