Prediction of Activity Spectra for Substances (PASS) Technology From Sambung Nyawa (Gynura procumbens (Lour) Merr)

Authors

  • Yuneka Saristiana Universitas Kadiri
  • Fendy Prasetyawan Universitas Kadiri
  • Lisa Savitri Universitas Kadiri

DOI:

https://doi.org/10.31004/jestm.v5i1.206

Keywords:

Prediction, PASS, Sambung Nyawa, Flavonoid

Abstract

This study investigates the activity of various compounds as inhibitors, enhancers, agonists, antagonists, and substrates in biochemical pathways. The results indicate that the highest activity is observed in chlordecone reductase inhibition (Pa: 0.984, Pi: 0.001), followed by HIF1A expression inhibition (Pa: 0.969, Pi: 0.002) and membrane integrity agonist activity (Pa: 0.968, Pi: 0.002). Notably, several compounds exhibit significant inhibitory effects on enzymes such as peroxidase (Pa: 0.966), kinase (Pa: 0.958), and NADPH oxidase (Pa: 0.939). Additionally, CYP1A substrates and inducers demonstrate relevant metabolic interactions, indicating potential roles in drug metabolism. These findings provide insights into the pharmacological significance of these compounds, which may contribute to the development of novel therapeutic agents.

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Published

2025-03-21

How to Cite

Saristiana, Y., Prasetyawan, F., & Savitri, L. (2025). Prediction of Activity Spectra for Substances (PASS) Technology From Sambung Nyawa (Gynura procumbens (Lour) Merr). Journal of Engineering Science and Technology Management (JES-TM), 5(1), 17–23. https://doi.org/10.31004/jestm.v5i1.206

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