ISSN : 2663-2187

Development and validation of Z-Score-Based Machine Learning Method (ZBML) For Effective estimation of Drug Likeness

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P.N.Shiammala,N.Duraimutharasan
ยป doi: 10.48047/AFJBS.6.13.2024.6509-6524

Abstract

Computational drug discovery plays a crucial role in identifying potential treatments for various diseases, particularly descriptor analysis has an emerged as a pivotal approach in the quest for novel therapeutics to combat skin diseases. By harnessing the power of computational algorithms researchers can rapidly sift through vast libraries of compounds, predicting their potential interactions with target proteins implicated in skin conditions.

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