Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks

Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks

Abstract The application of Machine Learning has become a revolutionary instrument in the domain of pharmaceutical research. Machine learning enables the modelling of Quantitative Structure Property Relationship, a crucial task in forecasting the physiochemical characteristics of drugs. In this stud...

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Bibliographic Details
Main Authors: Wakeel Ahmed, Tamseela Ashraf, Maliha Tehseen Saleem, Emad E. Mahmoud, Kashif Ali, Shahid Zaman, Melaku Berhe Belay
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Machine Learning
Artificial Neural Networks
Random Forest
Python Algorithm
Anti-malaria drugs
QSPR analysis
Online Access:https://doi.org/10.1038/s41598-025-01594-y
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https://doi.org/10.1038/s41598-025-01594-y

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