In Silico Augmentation of the Drug Development Pipeline: Examples from the study of Acute Inflammation.
In Silico Augmentation of the Drug Development Pipeline: Examples from the study of Acute Inflammation.
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DOI：
10.1002/ddr.20415
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发表时间：
2011-03-01
影响因子：
3.8
通讯作者：
Vodovotz, Yoram
中科院分区：
文献类型：
--
作者：
An, Gary;Bartels, John;Vodovotz, Yoram
有希望的基本生物医学发现的临床转化，无论是来自学术实验室的还原论研究，还是作为生物技术和制药行业广泛的高通量和高内容筛选的产物，都已经达到了停滞时期，越来越高的研究和开发成本产生越来越少的新药。系统生物学和计算建模被吹捧为突破这一僵局的潜在途径。然而，很少有机械计算的方法是利用的方式，是充分认识到固有的临床现实，通过这种表面上合理的过程开发的药物将最终使用。在这篇文章中，我们提出了一个翻译系统生物学方法炎症。该方法基于使用以固有临床适用性为中心的机械计算建模，即可以应用一套统一的模型来生成计算机临床试验，个性化计算模型作为个性化医疗的工具，以及基于疾病机制的合理药物和器械设计。
The clinical translation of promising basic biomedical findings, whether derived from reductionist studies in academic laboratories or as the product of extensive high-throughput and –content screens in the biotechnology and pharmaceutical industries, has reached a period of stagnation in which ever higher research and development costs are yielding ever fewer new drugs. Systems biology and computational modeling have been touted as potential avenues by which to break through this logjam. However, few mechanistic computational approaches are utilized in a manner that is fully cognizant of the inherent clinical realities in which the drugs developed through this ostensibly rational process will be ultimately used. In this article, we present a Translational Systems Biology approach to inflammation. This approach is based on the use of mechanistic computational modeling centered on inherent clinical applicability, namely that a unified suite of models can be applied to generate in silico clinical trials, individualized computational models as tools for personalized medicine, and rational drug and device design based on disease mechanism.
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影响因子：
4.3
作者：
An GC;Faeder JR
通讯作者：
Faeder JR
DOI：
10.1097/00075197-200503000-00016
发表时间：
2005-03-01
影响因子：
3.1
作者：
Alverdy, J;Zaborina, O;Wu, LC
通讯作者：
Wu, LC
影响因子：
1.4
作者：
An, Gary;Faeder, James;Vodovotz, Yoram
通讯作者：
Vodovotz, Yoram
影响因子：
3.7
作者：
Arciero JC;Ermentrout GB;Upperman JS;Vodovotz Y;Rubin JE
通讯作者：
Rubin JE
影响因子：
9.5
作者：
Chaouiya, Claudine
通讯作者：
Chaouiya, Claudine