2012
DOI: 10.3109/13880209.2012.677847
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Bioinformatical andin vitroapproaches to essential oil-induced matrix metalloproteinase inhibition

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Cited by 25 publications
(14 citation statements)
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“…Targeting essential nodes with high centrality values can considerably disrupt the whole network integrity. Moreover, high stress value for a given node can be an indicator of relevance of a protein/compound within a biological network, and it is commonly used tool in computational biology-based studies [31, 32]. …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Targeting essential nodes with high centrality values can considerably disrupt the whole network integrity. Moreover, high stress value for a given node can be an indicator of relevance of a protein/compound within a biological network, and it is commonly used tool in computational biology-based studies [31, 32]. …”
Section: Resultsmentioning
confidence: 99%
“…Nowadays, systems biology/pharmacology/toxicology offers a number of computational tools that allow researchers to work with large amounts of experimental knowledge and databases for elaborating simulations or supporting hypotheses, that can be later confirmed in other models (e.g., in vivo or in vitro ) [11, 31, 58, 59]. …”
Section: Discussionmentioning
confidence: 99%
“…Dermatomycoses are common infections caused by filamentous fungi, especially dermatophytes and yeasts that can be severe in immunocompromised patients. Although Myrtle essential oil has a long history of use as food preservative and in traditional medicine very little information is available about its safety, with some studies concerning M. communis (Nassar et al, 2010;Uehleke and Brinkschulte-Freitas, 1979;Zeidán-Chuliá et al, 2012) and Myrtus nivellei (Bouzabata et al, 2013b), and some studies of other species of Myrtaceae, such as Backhousia citriodora, commonly known as lemon myrtle Markovic, 2002, 2003). Indeed, there is a lack of studies addressing the potential cytotoxicity of Myrtle essential oil in mammalian cells, namely alveolar epithelial cells, keratinocytes and hepatocytes.…”
Section: Introductionmentioning
confidence: 98%
“…With the use of these methods, new insights are being gained into maternal metabolism during pregnancy and its relationship to outcomes at birth and in childhood (Lowe and Karban, 2014). In silico modeling and gene expression analyses have become an integral part of life sciences by guiding the researchers towards the selection of the most relevant targets, as well as protein-protein and compoundprotein interactions in the context of any disease (i.e., approaches that our study group has successfully applied) (Zeidán-Chuliá et al, 2012;2013a;2013b;2013c;2014). By using in silico approaches, it is possible to generate a model of interactions based on experimental data, giving rise to new hypotheses that could be later tested with wet laboratory experiments.…”
Section: Introductionmentioning
confidence: 99%