2020
DOI: 10.1007/s11084-020-09600-1
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Chiral Symmetry Breaking in Large Peptide Systems

Abstract: Chiral symmetry breaking in far from equilibrium systems with large number of amino acids and peptides, like a prebiotic Earth, was considered. It was shown that if organic catalysts were abundant, then effective averaging of enantioselectivity would prohibit any symmetry breaking in such systems. It was further argued that non-linear (catalytic) reactions must be very scarce (called the abundance parameter) and catalysts should work on small groups of similar reactions (called the similarity parameter) in ord… Show more

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Cited by 5 publications
(2 citation statements)
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“…His aim is to investigate the effect of fluctuations on homochiralization dynamics; he finds symmetry-breaking in most cases, although it can take up to a billion reaction steps to achieve when 30,000 molecules are involved. Another study making use of large simulations has been performed by Konstantinov and Konstantinova (2020) who generalise Sandars' model to describe and simulate chiral symmetry-breaking in large peptide systems. Their approach is to simulate a large system of ODEs (65K variables) describing monomers, dimers and trimers, where each monomer could be one of 20 amino acids.…”
Section: Sandarsmentioning
confidence: 99%
“…His aim is to investigate the effect of fluctuations on homochiralization dynamics; he finds symmetry-breaking in most cases, although it can take up to a billion reaction steps to achieve when 30,000 molecules are involved. Another study making use of large simulations has been performed by Konstantinov and Konstantinova (2020) who generalise Sandars' model to describe and simulate chiral symmetry-breaking in large peptide systems. Their approach is to simulate a large system of ODEs (65K variables) describing monomers, dimers and trimers, where each monomer could be one of 20 amino acids.…”
Section: Sandarsmentioning
confidence: 99%
“…Multiple extensions of Sanders' model have been produced [71][72][73][74] and there are also other variance that cannot are not based on nucleotides, but on peptides. [75][76][77][78] Fig. 5.…”
Section: Biological Homochiralitymentioning
confidence: 99%