Informatics and Physics Models of Recognitions of DNA Replication and Their Biological Applications
Kang Cheng and Chang H. Zou
DOI : 10.3844/ajassp.2006.2059.2062
American Journal of Applied Sciences
Volume 3, Issue 10
We initially propose concepts of Informative Intensity, Informative Response Intensity and Informative Flux, with different expressions. In a special expression of electrostatics, we describe Informative Intensity, Informative Response Intensity and Informative Flux in terms of electric field intensity, electric field force and electric field flux respectively. In a special expression of quantum mechanics, we originally propose a concept of Probability Flux. Then we present Informative Intensity in terms of a wave function of Schrödinger equation and Informative Response Intensity in terms of an interactive force between or among objects, Informative Flux in terms of a probability flux. Based on these concepts, we develop our Informatics and physics models of recognitions between a DNA polymerase and an initiation site and of pairing deoxyribonucleotides, for a natural DNA replication, beyond lengths of chemical bounds and half quantitatively explain a probability of the wrong paring. We originally hypothesize the information is, stored in structured charges or masses, transmitted with Informative Intensity in a media and recognized with an Informative Response Intensity by other structured charges or masses. We further generalize, Informative Intensity as multiple layers of fields, potentials or waves, Informative Response Intensity as multiple layers of forces and Informative Flux as an integration of Informative Intensity. We also initially define Transverse Information: Informative Intensity is perpendicular to the direction of information propagation, e.g. electromagnetic wave or magnetic field; and Longitudinal Information: Informative Intensity is parallel or antiparalell to the direction of information propagation, e.g. electric field or gravitational field.
© 2006 Kang Cheng and Chang H. Zou. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.