Information-theoretic bounds of evolutionary processes modeled as a protein communication system

TY - GEN

T1 - Information-theoretic bounds of evolutionary processes modeled as a protein communication system

AU - Gong, Liuling

AU - Bouaynaya, Nidhal

AU - Schonfeld, Dan

PY - 2007/12/1

Y1 - 2007/12/1

N2 - In this paper, we investigate the information theoretic bounds of the channel of evolution introduced in [1]. The channel of evolution is modeled as the iteration of protein communication channels over time, where the transmitted messages are protein sequences and the encoded message is the DNA. We compute the capacity and the rate-distortion functions of the protein communication system for the three domains of life: Achaea, Prokaryotes and Eukaryotes. We analyze the trade-off between the transmission rate and the distortion in noisy protein communication channels. As expected, comparison of the optimal transmission rate with the channel capacity indicates that the biological fidelity does not reach the Shannon optimal distortion. However, the relationship between the channel capacity and rate distortion achieved for different biological domains provides tremendous insight into the dynamics of the evolutionary processes. We rely on these results to provide a model of protein sequence evolution based on the two major evolutionary processes: mutations and unequal crossover.

AB - In this paper, we investigate the information theoretic bounds of the channel of evolution introduced in [1]. The channel of evolution is modeled as the iteration of protein communication channels over time, where the transmitted messages are protein sequences and the encoded message is the DNA. We compute the capacity and the rate-distortion functions of the protein communication system for the three domains of life: Achaea, Prokaryotes and Eukaryotes. We analyze the trade-off between the transmission rate and the distortion in noisy protein communication channels. As expected, comparison of the optimal transmission rate with the channel capacity indicates that the biological fidelity does not reach the Shannon optimal distortion. However, the relationship between the channel capacity and rate distortion achieved for different biological domains provides tremendous insight into the dynamics of the evolutionary processes. We rely on these results to provide a model of protein sequence evolution based on the two major evolutionary processes: mutations and unequal crossover.

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U2 - https://doi.org/10.1109/SSP.2007.4301206

DO - https://doi.org/10.1109/SSP.2007.4301206

M3 - Conference contribution

SN - 142441198X

SN - 9781424411986

SP - 1

EP - 5

BT - 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, SSP 2007, Proceedings

T2 - 2007 IEEE/SP 14th WorkShoP on Statistical Signal Processing, SSP 2007

Y2 - 26 August 2007 through 29 August 2007

ER -