Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Dario Pescini"'
Autor:
Marzia Di Filippo, Alessandro Avellone, Michael Belingheri, Maria Emilia Paladino, Michele Augusto Riva, Antonella Zambon, Dario Pescini
Publikováno v:
JMIR Human Factors, Vol 9, Iss 4, p e38701 (2022)
BackgroundOver the past few years, studies have increasingly focused on the development of mobile apps as complementary tools to existing traditional pharmacovigilance surveillance systems for improving and facilitating adverse drug reaction (ADR) re
Externí odkaz:
https://doaj.org/article/a5473eb2014d40aba53661a273fef2d3
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S2, Pp 1-17 (2021)
Abstract Background Genome-wide reconstructions of metabolism opened the way to thorough investigations of cell metabolism for health care and industrial purposes. However, the predictions offered by Flux Balance Analysis (FBA) can be strongly affect
Externí odkaz:
https://doaj.org/article/b956b190330a4b708260c39c8aaab11c
MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
Autor:
Chiara Damiani, Lorenzo Rovida, Davide Maspero, Irene Sala, Luca Rosato, Marzia Di Filippo, Dario Pescini, Alex Graudenzi, Marco Antoniotti, Giancarlo Mauri
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 993-999 (2020)
We present MaREA4Galaxy, a user-friendly tool that allows a user to characterize and to graphically compare groups of samples with different transcriptional regulation of metabolism, as estimated from cross-sectional RNA-seq data. The tool is availab
Externí odkaz:
https://doaj.org/article/0e57e6d51f36449ba8844af676526840
Autor:
Marzia Di Filippo, Dario Pescini, Bruno Giovanni Galuzzi, Marcella Bonanomi, Daniela Gaglio, Eleonora Mangano, Clarissa Consolandi, Lilia Alberghina, Marco Vanoni, Chiara Damiani
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 2, p e1009337 (2022)
Metabolism is directly and indirectly fine-tuned by a complex web of interacting regulatory mechanisms that fall into two major classes. On the one hand, the expression level of the catalyzing enzyme sets the maximal theoretical flux level (i.e., the
Externí odkaz:
https://doaj.org/article/ae6e1a33dba5449790b9edbb784f0b27
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 11 (2021)
Metabolic network models are increasingly being used in health care and industry. As a consequence, many tools have been released to automate their reconstruction process de novo. In order to enable gene deletion simulations and integration of gene e
Externí odkaz:
https://doaj.org/article/b4dee5e7cffb48888775f0d4e693746a
Autor:
Riccardo Colombo, Chiara Damiani, David Gilbert, Monika Heiner, Giancarlo Mauri, Dario Pescini
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S7, Pp 45-59 (2018)
Abstract Background Determining the value of kinetic constants for a metabolic system in the exact physiological conditions is an extremely hard task. However, this kind of information is of pivotal relevance to effectively simulate a biological phen
Externí odkaz:
https://doaj.org/article/4cdc604ae22f45c8b2e58b756c6a5a31
Autor:
Chiara Damiani, Davide Maspero, Marzia Di Filippo, Riccardo Colombo, Dario Pescini, Alex Graudenzi, Hans Victor Westerhoff, Lilia Alberghina, Marco Vanoni, Giancarlo Mauri
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006733 (2019)
Metabolic reprogramming is a general feature of cancer cells. Regrettably, the comprehensive quantification of metabolites in biological specimens does not promptly translate into knowledge on the utilization of metabolic pathways. By estimating flux
Externí odkaz:
https://doaj.org/article/8c98215dcc5d4690afd69e0f5ae52fd2
Autor:
Chiara Damiani, Riccardo Colombo, Daniela Gaglio, Fabrizia Mastroianni, Dario Pescini, Hans Victor Westerhoff, Giancarlo Mauri, Marco Vanoni, Lilia Alberghina
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 9, p e1005758 (2017)
Cancer cells share several metabolic traits, including aerobic production of lactate from glucose (Warburg effect), extensive glutamine utilization and impaired mitochondrial electron flow. It is still unclear how these metabolic rearrangements, whic
Externí odkaz:
https://doaj.org/article/df65a120bbb84cfaabd2f9b69bec7328
Autor:
Paolo Cazzaniga, Chiara Damiani, Daniela Besozzi, Riccardo Colombo, Marco S. Nobile, Daniela Gaglio, Dario Pescini, Sara Molinari, Giancarlo Mauri, Lilia Alberghina, Marco Vanoni
Publikováno v:
Metabolites, Vol 4, Iss 4, Pp 1034-1087 (2014)
Cell metabolism is the biochemical machinery that provides energy and building blocks to sustain life. Understanding its fine regulation is of pivotal relevance in several fields, from metabolic engineering applications to the treatment of metabolic
Externí odkaz:
https://doaj.org/article/9a2503da32c14dc4a1a06b8b2728c419
Autor:
Marzia Di Filippo, Alessandro Avellone, Michael Belingheri, Maria Emilia Paladino, Michele Augusto Riva, Antonella Zambon, Dario Pescini
BACKGROUND Over the last few years, increasingly studies focused on the development of mobile apps as complementary tools to existing pharmacovigilance traditional surveillance systems for improving and facilitating adverse drug reactions reporting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b7bf0eeacdbd8c5f9b19278e3f7ba3
https://doi.org/10.2196/preprints.38701
https://doi.org/10.2196/preprints.38701
