Abstract
The modern science mainly treats the biochemical basis of sequencing in bio-macromolecules and processes in medicine and biochemistry. One can ask weather the language of biochemistry is the adequate scientific language to explain the phenomenon in that science. Is there maybe some other language, out of biochemistry, that determines how the biochemical processes will function and what the structure and organization of life systems will be? The research results provide some answers to these questions. They reveal to us that the process of sequencing in bio-macromolecules is conditioned and determined not only through biochemical, but also through cybernetic and information principles. Many studies have indicated that analysis of protein sequence codes and various sequence- based prediction approaches, such as predicting drug-target interaction networks [ 14 ], predicting functions of proteins [ 15 , 18 ], analysis and prediction of the metabolic stability of proteins [ 16 ], predicting the network of substrate-enzyme- product triads [ 7 ], membrane protein type prediction [ 1 , 2 , 5 ]. protein structural class prediction [ 4 , 12 ], protein secondary structure prediction [ 6 , 11 ], enzyme family class prediction [ 3 , 11 ], identifying cyclin proteins [ 20 ], protein subcellular location prediction [ 9 , 10 , 17 , 19 ] , among many others as summarized in a recent review [ 15 ] , can timely provide very useful information and insights for both basic research and drug design and hence are widely welcome by science community. The present study is attempted to develop a novel sequence-based method for studying insulin in hopes that it may become a useful tool in the relevant areas.
Highlights
The biologic role of any given protein in essential life processes, eg, insulin, depends on the positioning of its component amino acids, and is understood by the “positioning of letters forming words“
For the purposes of this paper, specific physical and chemical factors have been selected in order to express the genetic information for insulin
Numerical values are them assigned to these factors, enabling them to be measured. In this way it is possible to determine oif a connection really exists between the quantitative ratios in the process of transfer of genetic information and the qualitative appearance of the insulin molecule
Summary
The biologic role of any given protein in essential life processes, eg, insulin, depends on the positioning of its component amino acids, and is understood by the “positioning of letters forming words“. Numerical values are them assigned to these factors, enabling them to be measured In this way it is possible to determine oif a connection really exists between the quantitative ratios in the process of transfer of genetic information and the qualitative appearance of the insulin molecule. To select these factors, preference is given to classical physical and chemical parameters, including the number of atoms in the relevant amino acids, their analog values, the position in these amino acids in the peptide chain, and their frenquencies. It becomes clear that there is a mathematical relationship between quantitative ratios and the qualitative appearance of the biochemical “genetic processes“ and that there is a measurement method that can be used to describe the biochemistry of insulin
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