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dc.contributor.authorOrella, Michael J
dc.contributor.authorGani, Terry ZH
dc.contributor.authorVermaas, Josh V
dc.contributor.authorStone, Michael L
dc.contributor.authorAnderson, Eric M
dc.contributor.authorBeckham, Gregg T
dc.contributor.authorBrushett, Fikile R
dc.contributor.authorRomán-Leshkov, Yuriy
dc.date.accessioned2021-10-27T20:35:48Z
dc.date.available2021-10-27T20:35:48Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/136531
dc.description.abstract© 2019 American Chemical Society. Lignin is an abundant biopolymer of phenylpropanoid monomers that is critical for plant structure and function. Based on the abundance of lignin in the biosphere and interest in lignin valorization, a more comprehensive understanding of lignin biosynthesis is imperative. Here, we present an open-source software toolkit, Lignin-KMC, that combines kinetic Monte Carlo and first-principles calculations of radical coupling events to model lignin biosynthesis in silico. Lignification is simulated using the Gillespie algorithm with rates derived from density functional theory calculations of individual fragment couplings. Using this approach, we confirm experimental findings regarding the impact of lignification conditions on the polymer structure such as (1) the positive correlation between sinapyl alcohol fraction and depolymerization yield and (2) the primarily benzodioxane linked structure of C-lignin. Additionally, we identify the in planta monolignol supply rate as a possible control mechanism for lignin biosynthesis based on evolutionary stresses. These examples not only highlight the robustness of our modeling framework but also motivate future studies of new lignin types, unexplored monolignol chemistries, and lignin structure predictions, all with an overarching aim of developing a more comprehensive molecular understanding of native lignin, which, in turn, can advance the biological and chemistry communities interested in this important biopolymer.
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)
dc.relation.isversionof10.1021/ACSSUSCHEMENG.9B03534
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceOther repository
dc.titleLignin-KMC: A Toolkit for Simulating Lignin Biosynthesis
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.relation.journalACS Sustainable Chemistry & Engineering
dc.eprint.versionOriginal manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/NonPeerReviewed
dc.date.updated2021-06-09T15:00:28Z
dspace.orderedauthorsOrella, MJ; Gani, TZH; Vermaas, JV; Stone, ML; Anderson, EM; Beckham, GT; Brushett, FR; Román-Leshkov, Y
dspace.date.submission2021-06-09T15:00:30Z
mit.journal.volume7
mit.journal.issue22
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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