In this HOT Perspective article Ting-Chao Chou from the Memorial Sloan-Kettering Cancer Center, New York presents his vision for a new era of smarter, greener biomedical research and drug discovery.
The algorithm of the median-effect equation based on the mass-action law, along with experimental design and computer simulation, should allow a significant reduction in the number of data points required to yield useful bioinformatics on the relationship between dose and effect. He poses that a theoretical minimum of a mere two data points are required to construct dose-effect curves – if they are accurately determined. This unified theory, he believes, should pave the way for more efficient, cost-effective research and ethical clinical trials.
This HOT article is featured on the front cover of our latest issue – Issue 5. Why not take a look – it’s currently free to access:
The mass-action law based algorithms for quantitative econo-green bio-research
Integr. Biol., 2011, 3, 548-559