Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors
Conference proceeding (October 2023)
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A Systematic Literature Review of the Current Status and Future Prospects of Machine Learning Methods and Techniques Applied to Novel Drug Discovery
Article in International Journal of Organizational and Collective Intelligence (October 2022)
Chemometric Approaches to Evaluate Interspecies Relationships and Extrapolation in Aquatic Toxicity
Book chapter (October 2021)