In silico augmentation of the drug development pipeline: Examples from the study of acute inflammation

Gary An, John Bartels, Yoram Vodovotz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

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 high-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 used 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. This article presents 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.

Original languageEnglish
Pages (from-to)187-200
Number of pages14
JournalDrug Development Research
Volume72
Issue number2
DOIs
StatePublished - Mar 2011
Externally publishedYes

Keywords

  • in silico clinical trial
  • inflammation
  • mathematical model
  • rational drug design
  • sepsis
  • trauma

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