Literature DB >> 14484391

On the origin of macromolecular sequences.

H H PATTEE.   

Abstract

The origin of the degree and type of order found in biological macromolecules is not adequately explained solely as an accumulation of genetic restrictions acquired through natural selection from otherwise unrestricted primeval sequences capable of self-replication, since the biological process of replication is itself dependent on the pre-existence of such order, and since the number of sequences that could have ever been tested by selection on the earth is an insignificant fraction of the number of unrestricted sequences which would be possible. Therefore the hypothesis is considered that replication and selection began from well ordered sequences, rather than random sequences. It is shown how the Turing concept of computation in fed-back, discrete-state automata can lead to the generation of order withour pre-existing instructions, and how this computation can result in self-repeating, random-like, but well ordered sequences of great length. Macromolecular models of such computers are suggested on the basis of mechanisms proposed for the growth of eutactic polymers. Such self-replicating, mutable sequences may then evolve genetic control which is sufficient to accommodate the information accumulated by natural selection. The structure and function of enzymes and structural proteins is related to this model, and statistical evidence from known amino acid sequences is shown to be consistent with some degree of non-genetic ordering.

Entities:  

Keywords:  AMINO ACIDS; BIOPHYSICS; GENETICS; NUCLEIC ACIDS/chemistry; PROTEINS/chemistry

Mesh:

Substances:

Year:  1961        PMID: 14484391      PMCID: PMC1366362          DOI: 10.1016/s0006-3495(61)86917-8

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  13 in total

1.  Assembly of the peptide chains of hemoglobin.

Authors:  H M DINTZIS
Journal:  Proc Natl Acad Sci U S A       Date:  1961-03-15       Impact factor: 11.205

2.  Replication of tobacco mosaic virus. A re-examination of theories.

Authors:  B COMMONER
Journal:  Nature       Date:  1959-12-26       Impact factor: 49.962

3.  On protein synthesis.

Authors:  F H CRICK
Journal:  Symp Soc Exp Biol       Date:  1958

4.  Growth of tobacco mosaic virus particles.

Authors:  G W SEARS
Journal:  Science       Date:  1959-11-27       Impact factor: 47.728

5.  The sequence of the amino acid residues in performic acid-oxidized ribonuclease.

Authors:  C H HIRS; S MOORE; W H STEIN
Journal:  J Biol Chem       Date:  1960-03       Impact factor: 5.157

6.  The assimilation of amino-acids by bacteria. XIV. Nucleic acid and protein synthesis in Staphylococcus aureus.

Authors:  E F GALE; J P FOLKES
Journal:  Biochem J       Date:  1953-02       Impact factor: 3.857

7.  ANALYSIS OF SEQUENCE PATTERNS IN RIBONUCLEASE, II. PRIMITIVE GROUPS, THEIR COORDINATIONS, AND PERIODICITY.

Authors:  F Lanni
Journal:  Proc Natl Acad Sci U S A       Date:  1961-03       Impact factor: 11.205

8.  ANALYSIS OF SEQUENCE PATTERNS IN RIBONUCLEASE, I. SEQUENCE VECTORS AND VECTOR MAPS.

Authors:  F Lanni
Journal:  Proc Natl Acad Sci U S A       Date:  1960-12       Impact factor: 11.205

9.  FORMATION OF THE PEPTIDE CHAIN OF HEMOGLOBIN.

Authors:  J Bishop; J Leahy; R Schweet
Journal:  Proc Natl Acad Sci U S A       Date:  1960-08       Impact factor: 11.205

10.  CODES WITHOUT COMMAS.

Authors:  F H Crick; J S Griffith; L E Orgel
Journal:  Proc Natl Acad Sci U S A       Date:  1957-05-15       Impact factor: 11.205

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  6 in total

1.  Internal factors in evolution.

Authors:  L L Whyte
Journal:  Acta Biotheor       Date:  1965       Impact factor: 1.774

2.  Evolution of macromolecules. I. Dual coding systems.

Authors:  J M Reiner
Journal:  Bull Math Biophys       Date:  1965-06

3.  Probabilistic Inference with Polymerizing Biochemical Circuits.

Authors:  Yarden Katz; Walter Fontana
Journal:  Entropy (Basel)       Date:  2022-04-29       Impact factor: 2.738

4.  The roots of bioinformatics.

Authors:  David B Searls
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

Review 5.  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 6.  The capabilities of chaos and complexity.

Authors:  David L Abel
Journal:  Int J Mol Sci       Date:  2009-01-09       Impact factor: 6.208

  6 in total

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