The mass-action law based algorithm for cost-effective approach for cancer drug discovery and development.

摘要: The mass-action law based system analysis via mathematical induction and deduction lead to the generalized theory algorithm that allows computerized simulation of dose-effect dynamics with small size experiments using a number data points in vitro, animals, humans. median-effect equation deduced from over 300 mechanism specific-equations has been shown be unified serves as common-link for complicated biomedical systems. After principle common denominator, its applications are mechanism-independent, drug unit-independent, dynamic order-independent; can used generally single or multiple combinations constant-ratio non-constant ratios. Since “median” is link universal reference point biological systems, these general enabling quantitative bio-informatics econo-green bio-research broad disciplines. Specific theory, especially relevant discovery, combination, clinical trials, have cited illustrated terms algorithms, experimental design analysis. Lessons learned cancer research during past fifty years provide valuable opportunity reflect, improve conventional divergent approach introduce new convergent avenue, on principle, efficient discovery low-cost development.