Prediction of Bioactive Peptides from <i>Chlorella sorokiniana</i> Proteins Using Proteomic Techniques in Combination with Bioinformatics Analyses

Prediction of Bioactive Peptides from <i>Chlorella sorokiniana</i> Proteins Using Proteomic Techniques in Combination with Bioinformatics Analyses

<i>Chlorella</i> is one of the most nutritionally important microalgae with high protein content and can be a good source of potential bioactive peptides. In the current study, isolated proteins from <i>Chlorella sorokiniana</i> were subjected to in silico analysis to predict...

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Bibliographic Details
Main Authors: Lhumen A. Tejano, Jose P. Peralta, Encarnacion Emilia S. Yap, Fenny Crista A. Panjaitan, Yu-Wei Chang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:International Journal of Molecular Sciences
Subjects:
<i>Chlorella sorokiniana</i>
in silico
BIOPEP-UWM database
proteomics
bioactive peptides
nano liquid chromatography tandem mass spectrometry (nanoLC–nanoESI MS/MS)
Online Access:https://www.mdpi.com/1422-0067/20/7/1786

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https://www.mdpi.com/1422-0067/20/7/1786

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