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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The stepwise multilinear regression analysis method is used for modelling and the obtained models are critically discussed and examined by various types of cross validation parameters
📌 3 Key Takeaways
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Objective & Hypothesis:QSAR study has been carried out on the set of 35 Beta-blocker drugs for the modelling of toxicity (Ld50), using topological indices.
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Key Findings & Data:QSAR study has been carried out on the set of 35 Beta-blocker drugs for the modelling of toxicity (Ld50), using topological indices.
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Conclusion & Impact:The stepwise multilinear regression analysis method is used for modelling and the obtained models are critically discussed and examined by various types of cross validation parameters
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Beta-Blockers · LD50 · topological index
Abstract
QSAR study has been carried out on the set of 35 Beta-blocker drugs for the modelling of toxicity (Ld50), using topological indices. The stepwise multilinear regression analysis method is used for modelling and the obtained models are critically discussed and examined by various types of cross validation parameters
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Cite This Article
Tiwari, A. (2023). Mimic toxicity of Beta-blocker drugs by structural base descriptors. Turkish Computational and Theoretical Chemistry, Volume: 7 Issue: 3. https://doi.org/10.33435/tcandtc.1196259