Virtual Experimentation Complements Real-World Experimentation

10 pages•Published: March 11, 2020

Andrew Smith, Glen Ropella and C. Anthony Hunt

Abstract

Studying biological systems is difficult because of complexity, variability, and uncertainty. Conceptual models and diagrams are useful in conveying ideas about how a biological phenomenon are thought to be generated. However, sophisticated modeling and simulation methods are needed to discover mechanism-based explanations. Presented herein is a new and unique methodology for this application. Using virtual experiment methods, we recently provided a plausible solution to a problem that had eluded and perplexed pharmacologists and toxicologists for more than 40 years. We describe how virtual and real-world experimentation can be complementary, and propose a way to partially automate the methodology to expedite research.

Keyphrases: biomarker alt release on drug induced liver injury, biomimetic software analogs, experiment agent, model mechanisms, virtual experimentation

In: Qin Ding, Oliver Eulenstein and Hisham Al-Mubaid (editors). Proceedings of the 12th International Conference on Bioinformatics and Computational Biology, vol 70, pages 79-88.

Links:	https://easychair.org/publications/paper/xpkg
	https://doi.org/10.29007/tlcv

BibTeX entry

@inproceedings{BICOB2020:Virtual_Experimentation_Complements_Real,
  author    = {Andrew Smith and Glen Ropella and C. Anthony Hunt},
  title     = {Virtual Experimentation Complements Real-World Experimentation},
  booktitle = {Proceedings of the 12th International Conference on Bioinformatics and Computational Biology},
  editor    = {Qin Ding and Oliver Eulenstein and Hisham Al-Mubaid},
  series    = {EPiC Series in Computing},
  volume    = {70},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/xpkg},
  doi       = {10.29007/tlcv},
  pages     = {79-88},
  year      = {2020}}

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