Literature DB >> 29284126

Metabolic Models of Protein Allocation Call for the Kinetome.

Avlant Nilsson1, Jens Nielsen2, Bernhard O Palsson3.   

Abstract

The flux of metabolites in the living cell depend on enzyme activities. Recently, many metabolic phenotypes have been explained by computer models that incorporate enzyme activity data. To move further, the scientific community needs to measure the kinetics of all enzymes in a systematic way.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29284126     DOI: 10.1016/j.cels.2017.11.013

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  17 in total

1.  A quantitative method for proteome reallocation using minimal regulatory interventions.

Authors:  Gustavo Lastiri-Pancardo; Jonathan S Mercado-Hernández; Juhyun Kim; José I Jiménez; José Utrilla
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Review 2.  Integrating Systems and Synthetic Biology to Understand and Engineer Microbiomes.

Authors:  Patrick A Leggieri; Yiyi Liu; Madeline Hayes; Bryce Connors; Susanna Seppälä; Michelle A O'Malley; Ophelia S Venturelli
Journal:  Annu Rev Biomed Eng       Date:  2021-03-29       Impact factor: 9.590

3.  Absolute Proteome Quantification in the Gas-Fermenting Acetogen Clostridium autoethanogenum.

Authors:  Kaspar Valgepea; Gert Talbo; Nobuaki Takemori; Ayako Takemori; Christina Ludwig; Vishnuvardhan Mahamkali; Alexander P Mueller; Ryan Tappel; Michael Köpke; Séan Dennis Simpson; Lars Keld Nielsen; Esteban Marcellin
Journal:  mSystems       Date:  2022-04-06       Impact factor: 7.324

4.  Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models.

Authors:  David Heckmann; Colton J Lloyd; Nathan Mih; Yuanchi Ha; Daniel C Zielinski; Zachary B Haiman; Abdelmoneim Amer Desouki; Martin J Lercher; Bernhard O Palsson
Journal:  Nat Commun       Date:  2018-12-07       Impact factor: 14.919

5.  Machine Learning Predicts the Yeast Metabolome from the Quantitative Proteome of Kinase Knockouts.

Authors:  Aleksej Zelezniak; Jakob Vowinckel; Floriana Capuano; Christoph B Messner; Vadim Demichev; Nicole Polowsky; Michael Mülleder; Stephan Kamrad; Bernd Klaus; Markus A Keller; Markus Ralser
Journal:  Cell Syst       Date:  2018-09-05       Impact factor: 10.304

6.  The genetic basis for adaptation of model-designed syntrophic co-cultures.

Authors:  Colton J Lloyd; Zachary A King; Troy E Sandberg; Ying Hefner; Connor A Olson; Patrick V Phaneuf; Edward J O'Brien; Jon G Sanders; Rodolfo A Salido; Karenina Sanders; Caitriona Brennan; Gregory Humphrey; Rob Knight; Adam M Feist
Journal:  PLoS Comput Biol       Date:  2019-03-01       Impact factor: 4.475

7.  Laboratory evolution reveals a two-dimensional rate-yield tradeoff in microbial metabolism.

Authors:  Chuankai Cheng; Edward J O'Brien; Douglas McCloskey; Jose Utrilla; Connor Olson; Ryan A LaCroix; Troy E Sandberg; Adam M Feist; Bernhard O Palsson; Zachary A King
Journal:  PLoS Comput Biol       Date:  2019-06-03       Impact factor: 4.475

Review 8.  Constraint-based modeling in microbial food biotechnology.

Authors:  Martin H Rau; Ahmad A Zeidan
Journal:  Biochem Soc Trans       Date:  2018-03-27       Impact factor: 5.407

9.  Bridging substrate intake kinetics and bacterial growth phenotypes with flux balance analysis incorporating proteome allocation.

Authors:  Hong Zeng; Aidong Yang
Journal:  Sci Rep       Date:  2020-03-09       Impact factor: 4.379

10.  An analytical theory of balanced cellular growth.

Authors:  Hugo Dourado; Martin J Lercher
Journal:  Nat Commun       Date:  2020-03-06       Impact factor: 14.919

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