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Explore computational methods for predicting chemical toxicity, integrating structural alerts and QSAR models for comprehensive safety assessment of new compounds.
Explore strategies for efficient exploratory data analysis, focusing on visualization techniques, predictive modeling, and practical constraints in chemical biology datasets.
Explore AI-driven drug discovery for neglected diseases with Dr. Carolina Horta, focusing on computational methods and QSAR models for identifying new drug candidates.
Explore ChEMBL's web interface and API to access extensive molecular data. Learn data-driven approaches for molecular design and computational toxicology.
Explore computational methods for predicting biological activities, metabolic fate, and toxicity of small molecules in natural product-based drug discovery.
Explore chemography in chemical space analysis, covering molecular descriptors, data visualization, and AI-driven design of chemical transformations. Learn from expert Alexandre Varnek.
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