Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Iván Domenzain"'
Autor:
Iván Domenzain, Benjamín Sánchez, Mihail Anton, Eduard J. Kerkhoven, Aarón Millán-Oropeza, Céline Henry, Verena Siewers, John P. Morrissey, Nikolaus Sonnenschein, Jens Nielsen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Abstract Genome-scale metabolic models (GEMs) have been widely used for quantitative exploration of the relation between genotype and phenotype. Streamlined integration of enzyme constraints and proteomics data into such models was first enabled by t
Externí odkaz:
https://doaj.org/article/2c658bb1c7854350acfe1f06f530ec04
Autor:
Hongzhong Lu, Feiran Li, Le Yuan, Iván Domenzain, Rosemary Yu, Hao Wang, Gang Li, Yu Chen, Boyang Ji, Eduard J Kerkhoven, Jens Nielsen
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 10, Pp 1-23 (2021)
Abstract Yeasts are known to have versatile metabolic traits, while how these metabolic traits have evolved has not been elucidated systematically. We performed integrative evolution analysis to investigate how genomic evolution determines trait gene
Externí odkaz:
https://doaj.org/article/1b0b1695d181441c8971f35c8d7fd4cc
Autor:
Tyler W. Doughty, Iván Domenzain, Aaron Millan-Oropeza, Noemi Montini, Philip A. de Groot, Rui Pereira, Jens Nielsen, Céline Henry, Jean-Marc G. Daran, Verena Siewers, John P. Morrissey
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Fermentation parameters of industrial processes are often not the ideal growth conditions for industrial microbes. Here, the authors reveal that young genes are more responsive to environmental stress than ancient genes using a new gene age assignmen
Externí odkaz:
https://doaj.org/article/453efe3e004741ae8e4b9a901b4ed692
Autor:
Hongzhong Lu, Feiran Li, Benjamín J. Sánchez, Zhengming Zhu, Gang Li, Iván Domenzain, Simonas Marcišauskas, Petre Mihail Anton, Dimitra Lappa, Christian Lieven, Moritz Emanuel Beber, Nikolaus Sonnenschein, Eduard J. Kerkhoven, Jens Nielsen
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
Genome-scale metabolic models provide a platform to study metabolism through simulations and analysis of omics data. Here the authors introduce Yeast8 with its model ecosystem, a comprehensive computational resource for simulating the metabolism of S
Externí odkaz:
https://doaj.org/article/e35ec3cd7cdf442381f639e693448685
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 4, p e1008891 (2021)
The interplay between nutrient-induced signaling and metabolism plays an important role in maintaining homeostasis and its malfunction has been implicated in many different human diseases such as obesity, type 2 diabetes, cancer, and neurological dis
Externí odkaz:
https://doaj.org/article/5f5425c6b1434c4d81ee883f5d9026a1
Autor:
Hongzhong Lu, Feiran Li, Benjamín J. Sánchez, Zhengming Zhu, Gang Li, Iván Domenzain, Simonas Marcišauskas, Petre Mihail Anton, Dimitra Lappa, Christian Lieven, Moritz Emanuel Beber, Nikolaus Sonnenschein, Eduard J. Kerkhoven, Jens Nielsen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/31a0c063e7e74fab9fc0908c66159ff8
Autor:
Hao Wang, Simonas Marcišauskas, Benjamín J Sánchez, Iván Domenzain, Daniel Hermansson, Rasmus Agren, Jens Nielsen, Eduard J Kerkhoven
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 10, p e1006541 (2018)
RAVEN is a commonly used MATLAB toolbox for genome-scale metabolic model (GEM) reconstruction, curation and constraint-based modelling and simulation. Here we present RAVEN Toolbox 2.0 with major enhancements, including: (i) de novo reconstruction of
Externí odkaz:
https://doaj.org/article/0a03b54cefb746cc927752738b8b8294
Development of efficient cell factories that can compete with traditional chemical production processes is complex and generally driven by case-specific strategies, based on the product and microbial host of interest. Despite major advancements in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5cbb4b8fccfbee7618d97f5285f2ca5
https://doi.org/10.1101/2023.01.31.526512
https://doi.org/10.1101/2023.01.31.526512
Autor:
Olena P, Ishchuk, Iván, Domenzain, Benjamín J, Sánchez, Facundo, Muñiz-Paredes, José L, Martínez, Jens, Nielsen, Dina, Petranovic
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(30)
Heme is an oxygen carrier and a cofactor of both industrial enzymes and food additives. The intracellular level of free heme is low, which limits the synthesis of heme proteins. Therefore, increasing heme synthesis allows an increased production of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::9c1e890a7e76c48cea6f991090be0636
https://pubmed.ncbi.nlm.nih.gov/35858410
https://pubmed.ncbi.nlm.nih.gov/35858410
Autor:
Benjamín Sánchez, José Luis Martinez Ruiz, Iván Domenzain, Jens Nielsen, Dina Petranovic, Olena Ishchuk, Facundo Muñiz-Paredes
Publikováno v:
Ishchuka, O P, Domenzain, I, Sanchez, B J, Muñiz-Paredes, F, Martínez, J L, Nielsen, J & Petranovic, D 2022, ' Genome-scale modeling drives 70-fold improvement of intracellular heme production in Saccharomyces cerevisiae ', Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 30, e2108245119 . https://doi.org/10.1073/pnas.2108245119
Heme is an oxygen carrier and a cofactor of both industrial enzymes and food additives. The intracellular level of free heme is low, which limits the synthesis of heme proteins. Therefore, increasing heme synthesis allows an increased production of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f024a3834ced88abe106a13416aff27
https://doi.org/10.1073/pnas.2108245119
https://doi.org/10.1073/pnas.2108245119