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Literature DB >> 4423458

An application of information theory to the Central Dogma and the Sequence Hypothesis.

H P Yockey.

Abstract

Mesh：

Substances：
Peptides
RNA
DNA

Year: 1974 PMID： 4423458 DOI： 10.1016/0022-5193(74)90005-8

Source DB: PubMed Journal: J Theor Biol ISSN： 0022-5193 Impact factor: 2.691

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Cited

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8 in total

1. Information theoretic perspective on genome clustering.

Authors: Alaguraj Veluchamy; Preeti Mehta; K V Srividhya; Hirendra Vikram; M K Govind; Ramneek Gupta; Abdul Aziz Bin Dukhyil; Raed Abdullah Alharbi; Saleh Abdullah Aloyuni; Mohamed M Hassan; S Krishnaswamy
Journal: Saudi J Biol Sci Date: 2020-12-31 Impact factor: 4.219

Review 2. Three subsets of sequence complexity and their relevance to biopolymeric information.

Authors: David L Abel; Jack T Trevors
Journal: Theor Biol Med Model Date: 2005-08-11 Impact factor: 2.432

Review 3. Is life unique?

Authors: David L Abel
Journal: Life (Basel) Date: 2011-12-30

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

Authors: Andreas Martin Lisewski
Journal: PLoS One Date: 2008-09-01 Impact factor: 3.240

5. Analogies between digital radio and chemical orthogonality as a method for enhanced analysis of molecular recognition events.

Authors: Peter J Edmonson; William D Hunt; Desmond D Stubbs; Sang-Hun Lee
Journal: Int J Mol Sci Date: 2008-02-08 Impact factor: 6.208

An application of information theory to the Central Dogma and the Sequence Hypothesis.

1. Information theoretic perspective on genome clustering.

Review 2. Three subsets of sequence complexity and their relevance to biopolymeric information.

Review 3. Is life unique?

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

5. Analogies between digital radio and chemical orthogonality as a method for enhanced analysis of molecular recognition events.

6. Markov Chain-Like Quantum Biological Modeling of Mutations, Aging, and Evolution.

7. The empirical codon mutation matrix as a communication channel.

8. A model of k-mer surprisal to quantify local sequence information content surrounding splice regions.