Author(s): Saptarshi Samajdar

Email(s): saptarshisamajdar1993@gmail.com

DOI: 10.52711/2231-5659.2023.00017   

Address: Saptarshi Samajdar*
Department of Pharmaceutical Technology, Brainware University, 398, Ramkrishnapur Road, Barasat, North 24 Parganas, Kolkata – 700125.
*Corresponding Author

Published In:   Volume - 13,      Issue - 2,     Year - 2023


ABSTRACT:
Modern pharmacological techniques can be complemented by plants, therefore conventional medicinal plant analysis has risen globally over the years. As computer science advanced, in silico methods such as network analysis and screening were widely used to provide insight on the pharmacological underpinnings of the actions of traditional medicinal plants. In this method, network pharmacology, in silico screening, and pharmacokinetic screening can increase the number of active substances among the candidates and reveal the therapeutic plant's mode of action. The application of the insilico ADME tool SwissADME for the pharmacological and pharmacognostic profiling of Piper longum Lam is the current focus. The findings of these investigations can be used by researchers to look into in vitro and in vivo studies to uncover the pharmacological underpinnings of conventional medicinal herbs.


Cite this article:
Saptarshi Samajdar. In silico ADME prediction of Phytochemicals present in Piper longum. Asian Journal of Research in Pharmaceutical Sciences. 2023; 13(2):89-3. doi: 10.52711/2231-5659.2023.00017

Cite(Electronic):
Saptarshi Samajdar. In silico ADME prediction of Phytochemicals present in Piper longum. Asian Journal of Research in Pharmaceutical Sciences. 2023; 13(2):89-3. doi: 10.52711/2231-5659.2023.00017   Available on: https://ajpsonline.com/AbstractView.aspx?PID=2023-13-2-3


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