Computational Simulations for Cyclizations Catalyzed by Plant Monoterpene Synthases

Waldeyr Mendes Cordeiro da Silva*, Daniela P. de Andrade, Jakob L. Andersen, Maria Emília M.T. Walter, Marcelo Brigido, Peter F. Stadler, Christoph Flamm

*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

Metabolic pathways collectively define the biochemical repertory on an organism exposing the steps of its production. In silico metabolic pathways have been reconstructed using a wide range of computational methods. The reconstructed metabolic pathways can vary in some aspects, among which, in the context of this work, it is relevant to remark the data structure and granularity of biochemical details. Inferring chemical reactions using graph grammar rules is a method that exposes the initial, intermediates, and final products by modeling pathways over graphs and hypergraphs. Plant monoterpenes are volatile compounds with applications in industry, biotechnology, and medicine. They also play a vital ecological role. The last enzymatic reaction in the plant monoterpenes production chain is plentiful of possibilities due to the promiscuous nature of the terpene synthases (TPS), a case in which the application of inferring chemical reactions using graph grammar rules is suitable. In this work, we designed graph grammar rules that express cyclization reactions catalyzed by plant monoterpene synthases. As a result, it was generated a reachable chemical space of potential plant monoterpene blend, which can be computationally exploitable. In addition, these graph grammar rules were added to the 2Path, and a graphical interface was provided to aid the simulation code outlining.

OriginalsprogEngelsk
TitelAdvances in Bioinformatics and Computational Biology - 13th Brazilian Symposium on Bioinformatics, BSB 2020, Proceedings
RedaktørerJoão C. Setubal, Waldeyr Mendes Silva
ForlagSpringer Science+Business Media
Publikationsdato2020
Sider247-258
ISBN (Trykt)9783030657741
DOI
StatusUdgivet - 2020
Begivenhed13th Brazilian Symposium on Bioinformatics, BSB 2020 - São Paulo, Brasilien
Varighed: 23. nov. 202027. nov. 2020

Konference

Konference13th Brazilian Symposium on Bioinformatics, BSB 2020
Land/OmrådeBrasilien
BySão Paulo
Periode23/11/202027/11/2020
NavnLecture Notes in Computer Science
Vol/bind12558 LNBI
ISSN0302-9743

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