Application of a Multilayer Perceptron Artificial Neural Network for the Prediction and Optimization of the Andrographolide Content in Andrographis paniculata.

ABSTRACT: Andrographolide, the principal secondary metabolite of Andrographis paniculata, 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 investigating the role of different abiotic factors and selecting suitable sites for the cultivation of A. paniculata with high andrographolide content using a multilayer perceptron artificial neural network (MLP-ANN) approach. A total of 150 accessions of A. paniculata collected from different regions of Odisha and West Bengal in eastern India showed a variation in andrographolide content in the range of 0.28-5.45% on a dry weight basis. The MLP-ANN was trained using climatic factors and soil nutrie

SUBMITTER: Champati BB 

PROVIDER: S-EPMC9105688 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature