Quantum information and the problem of mechanisms of biological evolution / Melkikh Alexey V. // BIOSYSTEMS. - 2014. - V. 115, l. . - P. 33-45.

ISSN/EISSN:

0303-2647 / 1872-8324

Type:

Review

Abstract:

One of the most important conditions for replication in early evolution is the de facto elimination of the conformational degrees of freedom of the replicators, the mechanisms of which remain unclear. In addition, realistic evolutionary timescales can be established based only on partially directed evolution, further complicating this issue. A division of the various evolutionary theories into two classes has been proposed based on the presence or absence of a priori information about the evolving system. A priori information plays a key role in solving problems in evolution. Here, a model of partially directed evolution, based on the learning automata theory, which includes a priori information about the fitness space, is proposed. A potential repository of such prior information is the states of biologically important molecules. Thus, the need for extended evolutionary synthesis is discussed. Experiments to test the hypothesis of partially directed evolution are proposed. (C) 2013 Elsevier Ireland Ltd. All rights reserved.

Author keywords:

Replicator; Decoherence; Quantum information; Game with incomplete information; Partially directed evolution; Expanded synthesis DEPENDENT COMPETITIVE INTERACTIONS; CHEMICAL EVOLUTION; NATURAL-SELECTION; ADAPTIVE MUTATION; SMALL PROTEINS; MINIMAL CELL; ORIGIN; LIFE; COMPUTATION; EVOLVABILITY

DOI:

10.1016/j.biosystems.2013.10.0

Web of Science ID:

ISI:000330500100005

Соавторы в МНС:

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Другие поля

Поле	Значение
Month	JAN
Publisher	ELSEVIER SCI LTD
Address	THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Language	English
EISSN	1872-8324
Keywords-Plus	DEPENDENT COMPETITIVE INTERACTIONS; CHEMICAL EVOLUTION; NATURAL-SELECTION; ADAPTIVE MUTATION; SMALL PROTEINS; MINIMAL CELL; ORIGIN; LIFE; COMPUTATION; EVOLVABILITY
Research-Areas	Life Sciences \& Biomedicine - Other Topics; Mathematical \& Computational Biology
Web-of-Science-Categories	Biology; Mathematical \& Computational Biology
Author-Email	melkikh2008@rambler.ru
Number-of-Cited-References	81
Usage-Count-Since-2013	14
Journal-ISO	Biosystems
Doc-Delivery-Number	300YO