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Protobiotic Systems Chemistry Analyzed by Molecular Dynamics
Systems chemistry has been a key component of origin of life research, invoking models of life’s inception based on evolving molecular networks. One such model is the graded autocatalysis replication domain (GARD) formalism embodied in a lipid world scenario, which offers rigorous computer simulatio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617412/ https://www.ncbi.nlm.nih.gov/pubmed/31083329 http://dx.doi.org/10.3390/life9020038 |
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author | Kahana, Amit Lancet, Doron |
author_facet | Kahana, Amit Lancet, Doron |
author_sort | Kahana, Amit |
collection | PubMed |
description | Systems chemistry has been a key component of origin of life research, invoking models of life’s inception based on evolving molecular networks. One such model is the graded autocatalysis replication domain (GARD) formalism embodied in a lipid world scenario, which offers rigorous computer simulation based on defined chemical kinetics equations. GARD suggests that the first pre-RNA life-like entities could have been homeostatically-growing assemblies of amphiphiles, undergoing compositional replication and mutations, as well as rudimentary selection and evolution. Recent progress in molecular dynamics has provided an experimental tool to study complex biological phenomena such as protein folding, ligand-receptor interactions, and micellar formation, growth, and fission. The detailed molecular definition of GARD and its inter-molecular catalytic interactions make it highly compatible with molecular dynamics analyses. We present a roadmap for simulating GARD’s kinetic and thermodynamic behavior using various molecular dynamics methodologies. We review different approaches for testing the validity of the GARD model by following micellar accretion and fission events and examining compositional changes over time. Near-future computational advances could provide empirical delineation for further system complexification, from simple compositional non-covalent assemblies towards more life-like protocellular entities with covalent chemistry that underlies metabolism and genetic encoding. |
format | Online Article Text |
id | pubmed-6617412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66174122019-07-18 Protobiotic Systems Chemistry Analyzed by Molecular Dynamics Kahana, Amit Lancet, Doron Life (Basel) Review Systems chemistry has been a key component of origin of life research, invoking models of life’s inception based on evolving molecular networks. One such model is the graded autocatalysis replication domain (GARD) formalism embodied in a lipid world scenario, which offers rigorous computer simulation based on defined chemical kinetics equations. GARD suggests that the first pre-RNA life-like entities could have been homeostatically-growing assemblies of amphiphiles, undergoing compositional replication and mutations, as well as rudimentary selection and evolution. Recent progress in molecular dynamics has provided an experimental tool to study complex biological phenomena such as protein folding, ligand-receptor interactions, and micellar formation, growth, and fission. The detailed molecular definition of GARD and its inter-molecular catalytic interactions make it highly compatible with molecular dynamics analyses. We present a roadmap for simulating GARD’s kinetic and thermodynamic behavior using various molecular dynamics methodologies. We review different approaches for testing the validity of the GARD model by following micellar accretion and fission events and examining compositional changes over time. Near-future computational advances could provide empirical delineation for further system complexification, from simple compositional non-covalent assemblies towards more life-like protocellular entities with covalent chemistry that underlies metabolism and genetic encoding. MDPI 2019-05-10 /pmc/articles/PMC6617412/ /pubmed/31083329 http://dx.doi.org/10.3390/life9020038 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Kahana, Amit Lancet, Doron Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title | Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title_full | Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title_fullStr | Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title_full_unstemmed | Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title_short | Protobiotic Systems Chemistry Analyzed by Molecular Dynamics |
title_sort | protobiotic systems chemistry analyzed by molecular dynamics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617412/ https://www.ncbi.nlm.nih.gov/pubmed/31083329 http://dx.doi.org/10.3390/life9020038 |
work_keys_str_mv | AT kahanaamit protobioticsystemschemistryanalyzedbymoleculardynamics AT lancetdoron protobioticsystemschemistryanalyzedbymoleculardynamics |