Journal Article10.1002/CPLX.21566
Suboptimality and complexity in evolution
TL;DR: A scalable model of biological evolution is presented which includes energy cost for building new elements and multiple paths for obtaining new functions, and shows the crucial importance of accounting for the energy cost of new structures in models of Biological evolution.
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Abstract: A scalable model of biological evolution is presented which includes energy cost for building new elements and multiple paths for obtaining new functions. The model allows a population with a continual increase of complexity, but as time passes, detrimental mutations accumulate. This model shows the crucial importance of accounting for the energy cost of new structures in models of biological evolution. © 2014 Wiley Periodicals, Inc. Complexity 21: 322-327, 2015
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Citations
Rumours of war and evidence for peace between science and Christianity
Taliya Lantsman
- 01 Jan 2022
TL;DR: Science and Faith in Dialogue as discussed by the authors presents a cogent, compelling case for concordance between science and theism, arguing that modern science provides undeniable evidence and a scientific basis for these classical arguments to infer a rationally justifiable endorsement of theism as being concordant with reason and science.
Science and Faith in Dialogue
01 Jan 2022
TL;DR: Science and Faith in Dialogue as discussed by the authors presents a cogent, compelling case for concordance between science and theism, arguing that modern science provides undeniable evidence and a scientific basis for these classical arguments to infer a rationally justifiable endorsement of theism as being concordant with reason and science.
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Selfish DNA: the ultimate parasite
Leslie E. Orgel,Francis Crick +1 more
TL;DR: The DNA of higher organisms usually falls into two classes, one specific and the other comparatively nonspecific, and it seems plausible that most of the latter originated by the spreading of sequences which had little or no effect on the phenotype.
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Analysis of optimality in natural and perturbed metabolic networks
TL;DR: The method of minimization of metabolic adjustment (MOMA), whereby the hypothesis that knockout metabolic fluxes undergo a minimal redistribution with respect to the flux configuration of the wild type is tested, is tested and found to be useful in understanding the evolutionary optimization of metabolism.
The genetic theory of adaptation: a brief history
TL;DR: The history of adaptation theory is surveyed, focusing on the rise and fall of various views over the past century and the reasons for the slow development of a mature theory of adaptation.
Deletional bias and the evolution of bacterial genomes
TL;DR: The evidence showing that deletional bias is a major force that shapes bacterial genomes is discussed, in which dramatic reductions in genome size can result not from selection to lose DNA, but from decreased selection to maintain gene functionality.
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Functional proteins from a random-sequence library
Anthony D. Keefe,Jack W. Szostak +1 more
TL;DR: In vitro selection of messenger RNA displayed proteins yielded four new ATP-binding proteins that appear to be unrelated to each other or to anything found in the current databases of biological proteins.
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