Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kahana, Amit, Lancet, Doron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783433687015096320
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