Reference : Optimization ACE inhibition activity in hypertension based on random vector functiona...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/41608
Optimization ACE inhibition activity in hypertension based on random vector functional link and sine-cosine algorithm
English
Abd Elaziz, Mohammed []
Hemedan, Ahmed []
Ostaszewski, Marek mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Lu, Songfeng []
2019
Chemometrics and Intelligent Laboratory Systems
Elsevier
Yes (verified by ORBilu)
International
0169-7439
1873-3239
Amsterdam
Netherlands
[en] Bioactive peptides from protein hydrolysates with antihypertensive properties have a great effect in health, which warrants their pharmaceutical use. Nevertheless, the process of their production may affect their efficacy. In this study, we investigate the inhibitory activities of various hydrolysates on angiotensin-converting enzyme (ACE) in relation to the chemical diversity of corresponding bioactive peptides. This depends on the enzyme specificity and process conditions used for the production of hydrolysates. In order to mitigate the uncontrolled chemical alteration in bioactive peptides, we propose a computational approach using the random vector functional link (RVFL) network based on the sine-cosine algorithm (SCA) to find optimal processing parameters, and to predict the ACE inhibition activity. The SCA is used to determine the optimal configuration of RVFL, improving the prediction performance. The experimental results show that the performance measures of the proposed model are better than the state-of-the-art methods.
Researchers
http://hdl.handle.net/10993/41608
https://www.sciencedirect.com/science/article/abs/pii/S016974391830710X#!

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