Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Mihail Anton"'
Autor:
Chengyu Zhang, Benjamín J Sánchez, Feiran Li, Cheng Wei Quan Eiden, William T Scott, Ulf W Liebal, Lars M Blank, Hendrik G Mengers, Mihail Anton, Albert Tafur Rangel, Sebastián N Mendoza, Lixin Zhang, Jens Nielsen, Hongzhong Lu, Eduard J Kerkhoven
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 10, Pp 1134-1150 (2024)
Abstract Genome-scale metabolic models (GEMs) can facilitate metabolism-focused multi-omics integrative analysis. Since Yeast8, the yeast-GEM of Saccharomyces cerevisiae, published in 2019, has been continuously updated by the community. This has inc
Externí odkaz:
https://doaj.org/article/6ceac2e6fd9f4f218e5ca5c7ed65211e
Autor:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, William T. Scott, Elena Domínguez-Romero, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2024)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/231bbdc173f041d7b339528a06d2b5e4
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:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2022)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/da5bfc6068504a22a6da45f585378940
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:
Nucleic Acids Research. 51:D583-D586
Enzyme parameters are essential for quantitatively understanding, modelling, and engineering cells. However, experimental measurements cover only a small fraction of known enzyme-compound pairs in model organisms, much less in other organisms. Artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06bcdd05ec7c3038a1340eacbaa585ff
https://doi.org/10.1093/nar/gkac831
https://doi.org/10.1093/nar/gkac831
Autor:
Mihail Anton, Eivind Almaas, Rui Benfeitas, Sara Benito-Vaquerizo, Lars M. Blank, Andreas Dräger, John M. Hancock, Cheewin Kittikunapong, Matthias König, Feiran Li, Ulf W. Liebal, Hongzhong Lu, Hongwu Ma, Radhakrishnan Mahadevan, Adil Mardinoglu, Jens Nielsen, Juan Nogales, Marco Pagni, Jason A. Papin, Kiran Raosaheb Patil, Nathan D. Price, Jonathan L. Robinson, Benjamín J. Sánchez, Maria Suarez-Diez, Snorre Sulheim, L. Thomas Svensson, Bas Teusink, Wanwipa Vongsangnak, Hao Wang, Ahmad A. Zeidan, Eduard J. Kerkhoven
The field of metabolic modelling at the genomescale continues to grow with more models being created and curated. This comes with an increasing demand for adopting common principles regarding transparency and versioning, in addition to standardisatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e77452cf0848a5f515f35c925440103
https://doi.org/10.1101/2023.03.21.512712
https://doi.org/10.1101/2023.03.21.512712
Autor:
Johan Gustafsson, Mihail Anton, Fariba Roshanzamir, Rebecka Jörnsten, Eduard J. Kerkhoven, Jonathan L. Robinson, Jens Nielsen
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Single-cell RNA sequencing combined with genome-scale metabolic models (GEMs) has the potential to unravel the differences in metabolism across both cell types and cell states but requires new computational methods. Here, we present a method for gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0947ba1f56f4cbb938f4f1d3bbda495b
https://doi.org/10.1073/pnas.2217868120
https://doi.org/10.1073/pnas.2217868120
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:
Vitor Martins dos Santos, Mihail Anton, Barbara Szomolay, Marek Ostaszewski, Ilja Arts, Rui Benfeitas, Victoria Dominguez Del Angel, Polonca Ferk, Dirk Fey, Carole Goble, Martin Golebiewski, Kristina Gruden, Katharina F. Heil, Henning Hermjakob, Pascal Kahlem, Maria I. Klapa, Jasper Koehorst, Alexey Kolodkin, Martina Kutmon, Brane Leskošek, Sébastien Moretti, Wolfgang Müller, Marco Pagni, Tadeja Rezen, Miguel Rocha, Damjana Rozman, David Šafránek, Rahuman S. Malik Sheriff, Maria Suarez Diez, Kristel Van Steen, Hans V Westerhoff, Ulrike Wittig, Katherine Wolstencroft, Anze Zupanic, Chris T. Evelo, John M. Hancock
Publikováno v:
F1000Research, 11
F1000Research, 11. F1000 Research Ltd.
F1000Research 11 (2022)
F1000Research, 11. F1000 Research Ltd.
F1000Research 11 (2022)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ada528ab354b1d2f8787d845c3b70732
https://doi.org/10.12688/f1000research.126734.1
https://doi.org/10.12688/f1000research.126734.1