In Silico Target Prediction of Overexpressed microRNAs from LPS-Challenged Zebrafish (<i>Danio rerio</i>) Treated with the Novel Anti-Inflammatory Peptide <i>Tn</i>P

In Silico Target Prediction of Overexpressed microRNAs from LPS-Challenged Zebrafish (<i>Danio rerio</i>) Treated with the Novel Anti-Inflammatory Peptide <i>Tn</i>P

miRNAs regulate gene expression post-transcriptionally in various processes, e.g., immunity, development, and diseases. Since their experimental analysis is complex, in silico target prediction is important for directing investigations. <i>Tn</i>P is a candidate peptide for anti-inflamma...

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Bibliographic Details
Main Authors: Geonildo R. Disner, Maria A. P. Falcão, Carla Lima, Monica Lopes-Ferreira
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:International Journal of Molecular Sciences
Subjects:
<i>Tn</i>P
inflammation
preclinical toxicological studies
epigenetic
miRNAs
bioinformatics
Online Access:https://www.mdpi.com/1422-0067/22/13/7117

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https://www.mdpi.com/1422-0067/22/13/7117

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