Professional Certificate in AI and Drug Designing
-- ViewingNowThe Professional Certificate in AI and Drug Designing is a comprehensive course that combines the power of artificial intelligence with drug discovery and design. This course is of utmost importance in the current scenario, where the pharmaceutical industry is increasingly adopting AI to expedite the drug development process.
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โข Introduction to Artificial Intelligence (AI): Understanding the basics of AI, including its history, applications, and potential impact on drug design. โข Machine Learning (ML) for Drug Discovery: Exploring the various ML algorithms and techniques used in drug discovery, such as decision trees, neural networks, and deep learning. โข Data Mining and Analysis: Learning data mining techniques for identifying potential drug candidates, including data preprocessing, feature selection, and clustering. โข Molecular Dynamics Simulation: Understanding the principles of molecular dynamics simulation and its application in drug discovery, including force fields, simulation protocols, and analysis techniques. โข Quantitative Structure-Activity Relationship (QSAR) Modeling: Learning QSAR modeling techniques for predicting the activity of drug candidates, including descriptor selection, model validation, and statistical analysis. โข Deep Learning for Drug Design: Exploring the latest deep learning techniques for drug design, including generative models, transfer learning, and reinforcement learning. โข Drug Repurposing and Polypharmacology: Understanding the concepts of drug repurposing and polypharmacology, including target identification, network pharmacology, and systems biology. โข Legal and Ethical Considerations: Examining the legal and ethical considerations of AI and drug design, including intellectual property, data privacy, and ethical guidelines for AI.
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