Prediction of Anti-inflammatory Activity of Bio Copper Nanoparticle using an Innovative Soft Computing Methodology

نویسندگان

چکیده

The objective of this work is to use a novel soft computing approach predict the anti-inflammatory effect bio copper nanoparticles. Using modified technique, various doses Musa sapientum extract and nanoparticles were examined for their capabilities. Protein denaturation was evaluated, an inhibition percentage computed. outcomes demonstrated that quantity raised percentage, indicating greater efficacy. In order forecast action based on input variables contact duration, operating temperature, beginning concentration, artificial neural network (ANN) created. experimental data, ANN model developed, tested, its performance assessed. showed has high degree accuracy in predicting action. context summary, produced by show considerable suggested which included creation nanoparticles, made accurate prediction This study aids creating new methods estimating efficacy bioactive diverse therapeutic uses, such as treatment inflammation.

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2023

ISSN: ['2158-107X', '2156-5570']

DOI: https://doi.org/10.14569/ijacsa.2023.0140681