Computational Model For The Extraction Of Human Erythropoietin

A Deterministic Finite Automaton is constructed to identify the human protein called Erythropoietin from a large collection of proteins. This new technique is a computational procedure to identify erythropoietin without using in vitro methods. This scheme accurately reflects a DNA computer serving as a tool to analyze specified protein that can be matched with an already programmed protein sequence. Human erythropoietin has been taken as an example for this new technique to recognize the protein sequence extracted from the database. Erythropoietin is one of the highly marketed drugs for the treatment of anaemia due to chronic kidney failures. The current research is intensively concentrated for the use of erythropoietin in brain damage, neuroprotection etc., as it is involved in cell activation and proliferation. In the present study, we insist on the development of a technique for the identification of protein with erythropoietin as an example to explain the function and utility of the programmed machine constructed using Deterministic Finite Automaton.