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DC Field | Value | Language |
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dc.citation.endPage | 11101 | - |
dc.citation.number | 43 | - |
dc.citation.startPage | 11096 | - |
dc.citation.title | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA | - |
dc.citation.volume | 115 | - |
dc.contributor.author | Brunk, Elizabeth | - |
dc.contributor.author | Chang, Roger L. | - |
dc.contributor.author | Xia, Jing | - |
dc.contributor.author | Hefzi, Hooman | - |
dc.contributor.author | Yurkovich, James T. | - |
dc.contributor.author | Kim, Donghyuk | - |
dc.contributor.author | Buckmiller, Evan | - |
dc.contributor.author | Wang, Harris H. | - |
dc.contributor.author | Cho, Byung-Kwan | - |
dc.contributor.author | Yang, Chen | - |
dc.contributor.author | Palsson, Bernhard O. | - |
dc.contributor.author | Church, George M. | - |
dc.contributor.author | Lewis, Nathan E. | - |
dc.date.accessioned | 2023-12-21T20:08:49Z | - |
dc.date.available | 2023-12-21T20:08:49Z | - |
dc.date.created | 2018-11-09 | - |
dc.date.issued | 2018-10 | - |
dc.description.abstract | Understanding the complex interactions of protein posttranslational modifications (PTMs) represents a major challenge in metabolic engineering, synthetic biology, and the biomedical sciences. Here, we present a workflow that integrates multiplex automated genome editing (MAGE), genome-scale metabolic modeling, and atomistic molecular dynamics to study the effects of PTMs on metabolic enzymes and microbial fitness. This workflow incorporates complementary approaches across scientific disciplines; provides molecular insight into how PTMs influence cellular fitness during nutrient shifts; and demonstrates how mechanistic details of PTMs can be explored at different biological scales. As a proof of concept, we present a global analysis of PTMs on enzymes in the metabolic network of Escherichia coll. Based on our workflow results, we conduct a more detailed, mechanistic analysis of the PTMs in three proteins: enolase, serine hydroxymethyltransferase, and transaldolase. Application of this workflow identified the roles of specific PTMs in observed experimental phenomena and demonstrated how individual PTMs regulate enzymes, pathways, and, ultimately, cell phenotypes. | - |
dc.identifier.bibliographicCitation | PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.115, no.43, pp.11096 - 11101 | - |
dc.identifier.doi | 10.1073/pnas.1811971115 | - |
dc.identifier.issn | 0027-8424 | - |
dc.identifier.scopusid | 2-s2.0-85055596999 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/25155 | - |
dc.identifier.url | http://www.pnas.org/content/115/43/11096 | - |
dc.identifier.wosid | 000448040500079 | - |
dc.language | 영어 | - |
dc.publisher | NATL ACAD SCIENCES | - |
dc.title | Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | systems biology | - |
dc.subject.keywordAuthor | posttranslational modifications | - |
dc.subject.keywordAuthor | metabolism | - |
dc.subject.keywordAuthor | protein chemistry | - |
dc.subject.keywordAuthor | omics data | - |
dc.subject.keywordPlus | CONSTRAINT-BASED MODELS | - |
dc.subject.keywordPlus | ESCHERICHIA-COLI | - |
dc.subject.keywordPlus | MICROBIAL-METABOLISM | - |
dc.subject.keywordPlus | LYSINE ACETYLATION | - |
dc.subject.keywordPlus | GENE-EXPRESSION | - |
dc.subject.keywordPlus | AMBER | - |
dc.subject.keywordPlus | PHOSPHOPROTEOME | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | TRANSALDOLASE | - |
dc.subject.keywordPlus | ADAPTATION | - |
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