Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Abdelhalim Larhlimi"'
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0289757 (2023)
In recent years, genome sequencing of filamentous fungi has revealed a high proportion of specialised metabolites with growing pharmaceutical interest. However, detecting such metabolites through in silico genome analysis does not necessarily guarant
Externí odkaz:
https://doaj.org/article/07ba26e68098474f8f796ec674d9b09f
Publikováno v:
Informatics, Vol 7, Iss 1, p 1 (2020)
The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typical
Externí odkaz:
https://doaj.org/article/e84a4ddb2c11415a85e16b0bce6ee14c
Autor:
Sylvain Prigent, Clémence Frioux, Simon M Dittami, Sven Thiele, Abdelhalim Larhlimi, Guillaume Collet, Fabien Gutknecht, Jeanne Got, Damien Eveillard, Jérémie Bourdon, Frédéric Plewniak, Thierry Tonon, Anne Siegel
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 1, p e1005276 (2017)
Increasing amounts of sequence data are becoming available for a wide range of non-model organisms. Investigating and modelling the metabolic behaviour of those organisms is highly relevant to understand their biology and ecology. As sequences are of
Externí odkaz:
https://doaj.org/article/518f2f7b9e27497bb380d0c30d680027
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0171744 (2017)
Interplay within microbial communities impacts ecosystems on several scales, and elucidation of the consequent effects is a difficult task in ecology. In particular, the integration of genome-scale data within quantitative models of microbial ecosyst
Externí odkaz:
https://doaj.org/article/61369731de664ab5a07974fcf0a0329c
Mining filamentous fungal genomes have revealed a high proportion of specialised metabolites in the past few years. However, many of these metabolites, produced by biosynthetic gene clusters, remain silent in the laboratory, and one hypothesis for so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::417c7846574041a15acb03c311d09635
https://doi.org/10.1101/2022.11.10.515991
https://doi.org/10.1101/2022.11.10.515991
Autor:
null Antoine Régimbeau, null Marko Budinich, null Abdelhalim Larhlimi, null Juan José Pierella Karlusich, null Olivier Aumont, null Laurent Memery, null Chris Bowler, null Damien Eveillard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d31e737b0d230a70d111ebb169a0207
https://doi.org/10.1111/ele.13954/v2/response1
https://doi.org/10.1111/ele.13954/v2/response1
Autor:
Chris Bowler, Antoine Régimbeau, Laurent Mémery, Juan José Pierella Karlusich, Olivier Aumont, Marko Budinich, Abdelhalim Larhlimi, Damien Eveillard
Standard niche modeling is based on probabilistic inference from organismal occurrence data but does not benefit yet from genome-scale descriptions of these organisms. This study over-comes this shortcoming by proposing a new conceptual niche that en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a41028e715fb8b04bc0f8e3b898619d
https://hal.science/hal-03352833
https://hal.science/hal-03352833
Publikováno v:
Informatics
Volume 7
Issue 1
Informatics, MDPI, 2020, 7 (1), pp.1. ⟨10.3390/informatics7010001⟩
Informatics, Vol 7, Iss 1, p 1 (2020)
Volume 7
Issue 1
Informatics, MDPI, 2020, 7 (1), pp.1. ⟨10.3390/informatics7010001⟩
Informatics, Vol 7, Iss 1, p 1 (2020)
The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typical
Publikováno v:
Genome Research
Genome Research, Cold Spring Harbor Laboratory Press, 2016, 26 (7), pp.956-968. ⟨10.1101/gr.202648.115⟩
Genome Research, Cold Spring Harbor Laboratory Press, 2016, 26 (7), pp.956-968. ⟨10.1101/gr.202648.115⟩
Understanding the control of large-scale metabolic networks is central to biology and medicine. However, existing approaches either require specifying a cellular objective or can only be used for small networks. We introduce new coupling types descri
Publikováno v:
Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2012, 28 (18), pp.502--508. ⟨10.1093/bioinformatics/bts381⟩
Bioinformatics, Oxford University Press (OUP), 2012, 28 (18), pp.502--508. ⟨10.1093/bioinformatics/bts381⟩
Motivation: Metabolic engineering aims at modulating the capabilities of metabolic networks by changing the activity of biochemical reactions. The existing constraint-based approaches for metabolic engineering have proven useful, but are limited only