A Novel Mixed-Signal Integrated Circuit Model for DNA-Protein Regulatory Genetic Circuits and Genetic State Machines

Hasan, S. M. Rezaul

doi:10.1109/tcsi.2008.925632

Cited by 20 publications

(17 citation statements)

References 20 publications

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“…The hamming distance between two DNA sequences is the sum of the different characters in all the corresponding position to describe that the two DNA sequences aren't similar degree [4,5]. DNA sequence X and Z are denoted as X=x1x2…xn and Z=z1z2…zn， where n is the number of DNA bases in X or Z, xm and zl are the any kind of four bases named as Adenine, Guanine, Cytosine, and Thymine.…”

Section: Novel Crossover Genetic Artificial Fish Swarm Dna Encoding Smentioning

confidence: 99%

Novel Crossover Genetic Artificial Fish Swarm DNA Encoding Sequence Based Blind Equalization Algorithm

Wang¹,

Guo²

2015

Proceedings of the 2015 International Symposium on Computers &Amp; Informatics

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A novel crossover genetic artificial fish swarm DNA encoding sequence based weighted multi-modulus blind equalization algorithm(ncGAFS-DNA-WMMA) is proposed to solve the defect that error function doesn't match with the signal constellation model in the multi-modulus blind equalization algorithm(MMA). The proposed algorithm can find the optimal DNA coding sequence through the novel crossover genetic artificial fish swarm algorithm with fast convergence and global searching ability. The initial optimal weight vector of the weighted MMA(WMMA) can obtained through decoding of the optimization DNA sequence. The simulation results show that the proposed algorithm has the faster convergence speed and smaller mean square error comparison with MMA, WMMA, and AFS-DNA-WMMA(weighted multi-modulus blind equalization algorithm based on DNA encoding sequences optimized by artificial fish swarm algorithm).

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Section: Novel Crossover Genetic Artificial Fish Swarm Dna Encoding Smentioning

confidence: 99%

Novel Crossover Genetic Artificial Fish Swarm DNA Encoding Sequence Based Blind Equalization Algorithm

Wang¹,

Guo²

2015

Proceedings of the 2015 International Symposium on Computers &Amp; Informatics

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“…A silicon mimetic [11] model of the bio-chemical pathway of phagocytosis has been developed and is shown in Figure 2, the following discrete-time state equations can be written for the phagocytic digestive pathway:…”

Section: A Micro-sequenced Model Of Phagocytic Biochemical Pathwaymentioning

confidence: 99%

“…Circuit theoretic techniques of modeling this biochemical immune system pathway within a phagocyte compared to other mathematical modeling techniques [7,8] is the central theme of this paper. In recently published papers [9][10][11] this author described how the states of DNA protein interactions within the bio-cellular operations can be modeled using integrated circuits (silicon mimetic model [12,13]). In addition, models for mitochondrial respiration related electron transfer pathway [14], and cell signaling pathway using G-Protein and Phosphorylation cascade [15] has been reported by this author.…”

Section: Introductionmentioning

confidence: 99%

A digital cmos sequential circuit model for bio-cellular adaptive immune response pathway using phagolysosomic digestion: a digital phagocytosis engine

Hasan¹

2010

JBiSE

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“…Although the AFSA has fast convergence speeds, it readily performs local searches. The DNA genetic algorithm (DNA-GA) (Rezaul Hasan, 2010) has the advantages of a genetic algorithm along with certain extra benefits such as global search functions and high search precision.…”

Section: Introductionmentioning

confidence: 99%

DNA genetic artificial fish swarm constant modulus blind equalization algorithm and its application in medical image processing

Guo¹,

Wang²,

Zhang³

2015

Genet. Mol. Res.

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ABSTRACT. This study proposes use of the DNA genetic artificial fish swarm constant modulus blind equalization algorithm (DNA-G-AFS-CMBEA) to overcome the local convergence of the CMBEA. In this proposed algorithm, after the fusion of the fast convergence of the AFS algorithm and the global search capability of the DNA-G algorithm to drastically optimize the position vector of the artificial fish, the global optimal position vector is obtained and used as the initial optimal weight vector of the CMBEA. The result of application of this improved method in medical image processing demonstrates that the proposed algorithm outperforms the CMBEA and the AFS-CMBEA in removing the noise in a medical image and improving the peak signal to noise ratio.

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A Novel Mixed-Signal Integrated Circuit Model for DNA-Protein Regulatory Genetic Circuits and Genetic State Machines

Cited by 20 publications

References 20 publications

Novel Crossover Genetic Artificial Fish Swarm DNA Encoding Sequence Based Blind Equalization Algorithm

Novel Crossover Genetic Artificial Fish Swarm DNA Encoding Sequence Based Blind Equalization Algorithm

A digital cmos sequential circuit model for bio-cellular adaptive immune response pathway using phagolysosomic digestion: a digital phagocytosis engine

DNA genetic artificial fish swarm constant modulus blind equalization algorithm and its application in medical image processing

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