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An open source computational workflow for the discovery of autocatalytic networks in abiotic reactions

Title: An open source computational workflow for the discovery of autocatalytic networks in abiotic reactions
Authors: Arya, Aayush; Ray, Jessica; Sharma, Siddhant; Cruz Simbron, Romulo; Lozano, Alejandro; Smith, Harrison B.; Andersen, Jakob Lykke; Chen, Huan; Meringer, Markus; Cleaves, Henderson James
Source: Arya, A, Ray, J, Sharma, S, Cruz Simbron, R, Lozano, A, Smith, H B, Andersen, J L, Chen, H, Meringer, M & Cleaves, H J 2022, 'An open source computational workflow for the discovery of autocatalytic networks in abiotic reactions', Chemical Science, vol. 13, no. 17, pp. 4838-4853. https://doi.org/10.1039/d2sc00256f
Publication Year: 2022
Collection: University of Southern Denmark: Research Output / Syddansk Universitet
Description: A central question in origins of life research is how non-entailed chemical processes, which simply dissipate chemical energy because they can do so due to immediate reaction kinetics and thermodynamics, enabled the origin of highly-entailed ones, in which concatenated kinetically and thermodynamically favorable processes enhanced some processes over others. Some degree of molecular complexity likely had to be supplied by environmental processes to produce entailed self-replicating processes. The origin of entailment, therefore, must connect to fundamental chemistry that builds molecular complexity. We present here an open-source chemoinformatic workflow to model abiological chemistry to discover such entailment. This pipeline automates generation of chemical reaction networks and their analysis to discover novel compounds and autocatalytic processes. We demonstrate this pipeline's capabilities against a well-studied model system by vetting it against experimental data. This workflow can enable rapid identification of products of complex chemistries and their underlying synthetic relationships to help identify autocatalysis, and potentially self-organization, in such systems. The algorithms used in this study are open-source and reconfigurable by other user-developed workflows.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2041-6539
Relation: info:eu-repo/semantics/altIdentifier/pmid/35655880; info:eu-repo/semantics/altIdentifier/pissn/2041-6539
DOI: 10.1039/d2sc00256f
Availability: https://portal.findresearcher.sdu.dk/da/publications/778bbb5b-74ae-4814-b870-2cf5e9abf5a8; https://doi.org/10.1039/d2sc00256f; https://findresearcher.sdu.dk/ws/files/202357224/d2sc00256f.pdf
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.9DD490C7
Database: BASE