Publications by authors named "Ceyda Kula"
Article Synopsis
- Genome-scale metabolic models (GEMs) are important tools for studying the metabolism of various organisms, thanks to advances in genome sequencing and biochemical data availability.
- As biological data and mathematical modeling techniques improve, GEMs will continue to evolve, potentially incorporating machine learning to enhance their functionality.
- This review highlights the current status of GEMs, their potential integration with machine learning for research applications, and the possibility of extending them into more comprehensive cellular models.
The virulence factor Type IV pili (T4P) are surface appendages used by the opportunistic pathogen for twitching motility and adhesion in the environment and during infection. Additionally, the use of these appendages by for biofilm formation increases its virulence and drug resistance. Therefore, attenuation of the activity of T4P would be desirable to control infections.
View Article and Find Full Text PDFThe present work focuses firstly on the evaluation of the effect of laccase on enzymatic hydrolysis of hazelnut husk which is one of the most abundant lignocellulosic agricultural residues generated in Turkey. In this respect, the co-enzymatic treatment of hazelnut husk by cellulase and laccase, without a conventional pretreatment step is evaluated. Using 2.
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