Application of a Multilayer Perceptron Artificial Neural Network for the Prediction and Optimization of the Andrographolide Content in <i>Andrographis paniculata</i>

Application of a Multilayer Perceptron Artificial Neural Network for the Prediction and Optimization of the Andrographolide Content in <i>Andrographis paniculata</i>

Andrographolide, the principal secondary metabolite of <i>Andrographis paniculata</i>, displays a wide spectrum of medicinal activities. The content of andrographolide varies significantly in the species collected from different geographical regions. Therefore, this study aims at investi...

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Bibliographic Details
Main Authors: Bibhuti Bhusan Champati, Bhuban Mohan Padhiari, Asit Ray, Tarun Halder, Sudipta Jena, Ambika Sahoo, Basudeba Kar, Pradeep Kumar Kamila, Pratap Chandra Panda, Biswajit Ghosh, Sanghamitra Nayak
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Molecules
Subjects:
<i>Andrographis paniculata</i>
andrographolide
ANN model
environmental factors
optimization
prediction
Online Access:https://www.mdpi.com/1420-3049/27/9/2765

Internet

https://www.mdpi.com/1420-3049/27/9/2765

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