Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.

The transmission of genomic information from coding sequence to protein structure during protein synthesis is subject to stochastic errors. To analyze transmission limits in the presence of spurious errors, Shannon's noisy channel theorem is applied to a communication channel between amino acid...

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Autor principal: Andreas Martin Lisewski
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Publicado: Public Library of Science (PLoS) 2008
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Acceso en línea:https://doaj.org/article/22e56c9f285348d6b6f2b56b1322e013
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spelling oai:doaj.org-article:22e56c9f285348d6b6f2b56b1322e0132021-11-25T06:18:46ZRandom amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.1932-620310.1371/journal.pone.0003110https://doaj.org/article/22e56c9f285348d6b6f2b56b1322e0132008-09-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18769673/?tool=EBIhttps://doaj.org/toc/1932-6203The transmission of genomic information from coding sequence to protein structure during protein synthesis is subject to stochastic errors. To analyze transmission limits in the presence of spurious errors, Shannon's noisy channel theorem is applied to a communication channel between amino acid sequences and their structures established from a large-scale statistical analysis of protein atomic coordinates. While Shannon's theorem confirms that in close to native conformations information is transmitted with limited error probability, additional random errors in sequence (amino acid substitutions) and in structure (structural defects) trigger a decrease in communication capacity toward a Shannon limit at 0.010 bits per amino acid symbol at which communication breaks down. In several controls, simulated error rates above a critical threshold and models of unfolded structures always produce capacities below this limiting value. Thus an essential biological system can be realistically modeled as a digital communication channel that is (a) sensitive to random errors and (b) restricted by a Shannon error limit. This forms a novel basis for predictions consistent with observed rates of defective ribosomal products during protein synthesis, and with the estimated excess of mutual information in protein contact potentials.Andreas Martin LisewskiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 3, Iss 9, p e3110 (2008)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Andreas Martin Lisewski
Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
description The transmission of genomic information from coding sequence to protein structure during protein synthesis is subject to stochastic errors. To analyze transmission limits in the presence of spurious errors, Shannon's noisy channel theorem is applied to a communication channel between amino acid sequences and their structures established from a large-scale statistical analysis of protein atomic coordinates. While Shannon's theorem confirms that in close to native conformations information is transmitted with limited error probability, additional random errors in sequence (amino acid substitutions) and in structure (structural defects) trigger a decrease in communication capacity toward a Shannon limit at 0.010 bits per amino acid symbol at which communication breaks down. In several controls, simulated error rates above a critical threshold and models of unfolded structures always produce capacities below this limiting value. Thus an essential biological system can be realistically modeled as a digital communication channel that is (a) sensitive to random errors and (b) restricted by a Shannon error limit. This forms a novel basis for predictions consistent with observed rates of defective ribosomal products during protein synthesis, and with the estimated excess of mutual information in protein contact potentials.
format article
author Andreas Martin Lisewski
author_facet Andreas Martin Lisewski
author_sort Andreas Martin Lisewski
title Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
title_short Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
title_full Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
title_fullStr Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
title_full_unstemmed Random amino acid mutations and protein misfolding lead to Shannon limit in sequence-structure communication.
title_sort random amino acid mutations and protein misfolding lead to shannon limit in sequence-structure communication.
publisher Public Library of Science (PLoS)
publishDate 2008
url https://doaj.org/article/22e56c9f285348d6b6f2b56b1322e013
work_keys_str_mv AT andreasmartinlisewski randomaminoacidmutationsandproteinmisfoldingleadtoshannonlimitinsequencestructurecommunication
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