YinYang Bipolar Quantum Bioeconomics for Equilibrium-Based Biosystem Simulation and Regulation

Introduction

Discovery of the ubiquitous genetic regulator protein YinYang1 (YY1) at Harvard medical school in 1991 (Shi et al., 1991) marks the formal entry of the ancient Chinese YinYang into modern genomics – a core area of life sciences. From that point on, YinYang has reemerged as a unifying philosophical foundation for both Traditional Chinese Medicine (TCM) and modern bioinformatics in microscopic as well as in macroscopic terms. In less than two decades, many important works have been reported on YinYang related regulation of gene expression such as those in (Park & Atchison, 1991; Ai, Narahari & Roman, 2000; Kim, Faulk & Kim, 2007; Palko et al., 2004; Zhou & Yik, 2006; Santiago et al., 2007; Liu et al., 2007; Santiago et al., 2007; Wilkinson et al., 2006; Gore & van Oudenaarden, 2009).

Despite the great achievement of genome research in the last decade, the governing rules of molecular interaction and human health are still largely unknown. As reported by a New York Times report: the genome has yielded to biologists one insightful surprise after another in last decade; the primary goal of the Human Genome Project — to ferret out the genetic roots of common diseases like cancer and Alzheimer’s and then generate treatments — has been largely elusive (Wade, 2010).

On the other front, in the last few decades, TCM in general and acupuncture in particular, has been gradually accepted by the world as a viable medical practice complementary to Western medicine. As pointed out by a California licensed acupuncturist Matthew Bauer: “At first roundly rejected by modern medical authorities, a great increase in scientific research has convinced many authorities that acupuncture in particular seems to have legitimate clinical value” (Bauer, 2006).

Along with the gradual acceptance is the evermore closer scientific scrutiny. Such scrutiny has created a new crisis for TCM – the crisis of lacking scientific theoretical foundation. The same California licensed acupuncturist wrote in his paper “The Final Days of Traditional Beliefs? – Part One”: “While this turnaround has been greeted by many in the Chinese medicine community as the long sought after validation they had been working for, there is real reason to wonder if this acceptance may in fact be the beginning of the end of the central role traditional theories have played in Chinese medicine for at least 2,000 years” (Bauer, 2006).

It is evident that, on the one hand, TCM has been proven clinically effective; on the other hand, the scientific classification of TCM is troubling to many. As discussed in the introduction (Ch. 1), the problem did not originate from Western science. Truth-based unipolar cognition as a Western tradition has triumphed and made great achievements in all fields of science and technology. A key for the success has been the formal truth-based mathematical abstraction. Even though YinYang has survived more than five thousand years of recorded human history and equilibrium-based TCM has been practiced in China for at least two thousand years, the Eastern philosophy has failed to provide a systematic formal logical and mathematical foundation for its physical, social, and biological claims. Consequently, while truth-based cognition stopped short of offering logically definable causality equilibrium-based YinYang has not stepped up with a complementary solution (Zhang, 2009d).

Now BDL has led to the theory of YinYang bipolar relativity. While bipolar relativity constitutes a holistic approach to science in general, YinYang-N-Element cellular automata provide a unique mathematical physics or biophysics theory for bioeconomics (BE). In this chapter we introduce the theory of YinYang bipolar quantum bioeconomics (BQBE) and we provide equilibrium-based bipolar simulation and regulation techniques for BQBE to illustrate applications in system biology and TCM. Simulation results are discussed that can be extended from system levels to molecular, genetic, socioeconomic, ecological, and environmental levels. This chapter is, therefore, a natural continuation of last chapter. While the last chapter focused on the mathematical formulation of BQLA, BQCA, and their unification under bipolar relativity, this chapter is focuses on bioeconomics simulation and regulation in modern bioinformatics and TCM using BQLA and BQCA.