Predictive modelling and ranking: Azadirachta indica compounds through indices and multi-criteria decision-making techniques

This study contributes to analogous prediction, optimization, and virtual screening of neem compounds using a cost-effective approach. The findings offer insight into neem compound properties, potentially accelerating drug discovery and development.

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Publication Details

Journal
Frontiers in Chemistry
Published
2025-04-29
DOI
https://doi.org/10.3389/fchem.2025.1580267
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01

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article

Predictive modelling and ranking: Azadirachta indica compounds through indices and multi-criteria decision-making techniques

B. Jaganathan, Anuradha Dharmapuri Sathyanarayanan
2 citations
Frontiers in Chemistry
Computational Drug Discovery Methods
3.01
article

Predictive modelling and ranking: Azadirachta indica compounds through indices and multi-criteria decision-making techniques

B. Jaganathan, Anuradha Dharmapuri Sathyanarayanan
article en
2 citations

Abstract

This study contributes to analogous prediction, optimization, and virtual screening of neem compounds using a cost-effective approach. The findings offer insight into neem compound properties, potentially accelerating drug discovery and development.

Frontiers in ChemistryVol. 13
Vellore Institute of Technology University (IN)
Vellore Institute of Technology, Chennai, VIT University
Openalex Percentile: Top 9%
Computational Drug Discovery Methods
3.01
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