Title :
Atomic and molecular level modeling of genetic strings using generalized RLC circuits
Author_Institution :
Dept. of Comput. Sci. & Technol., Plymouth State Univ., Plymouth, NH, USA
Abstract :
We use generalized resistor-inductor-capacitor (RLC) circuits to model bases, nucleosides and nucleotides at the atomic and molecular levels and analyze the responses of these circuits to different types of input signals. Based on simple recurrence equations that characterize the impedances of such circuits, we develop compositions of these basic circuits to model arbitrarily long nucleotide strings representing DNA sequences and analyze the circuits to see if any putative connections can be established between circuit behavior and actual biological phenomena. The circuits´ responses are then used to generate highly textured patterns which can be used in a variety of applications including DNA sequence mutation comparisons and assorted biometric identification schemes.
Keywords :
DNA; RLC circuits; biology computing; biometrics (access control); genetics; molecular biophysics; proteins; DNA sequence mutation comparison; arbitrarily long nucleotide string; atomic level modeling; base model; biological phenomena; biometric identification scheme; circuit analysis; circuit behavior; circuit response; generalized RLC circuit; generalized resistor-inductor-capacitor circuit; genetic string; highly textured pattern; input signal; molecular level modeling; nucleoside model; nucleotide model; recurrence equation; Analytical models; Chemicals; Impedance; Integrated circuit modeling; RLC circuits; Resistors; Speech; Biometric identification; DNA simulation and modeling;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2012 12th International Conference on
Conference_Location :
Pune
Print_ISBN :
978-1-4673-5114-0
DOI :
10.1109/HIS.2012.6421302