Graduate Certificate in Drug Design using Computational Chemistry
-- ViewingNowThe Graduate Certificate in Drug Design using Computational Chemistry is a vital course that bridges the gap between chemistry and technology, meeting the increasing industry demand for professionals with expertise in computational drug design. This certificate course equips learners with essential skills in computer-aided drug design, molecular modeling, and simulations.
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โข Introduction to Computational Chemistry: Fundamentals of computational chemistry, principles of quantum mechanics, and their applications in drug design.
โข Molecular Modeling Techniques: Overview of molecular mechanics, molecular dynamics, and Monte Carlo simulations.
โข Quantitative Structure-Activity Relationships (QSAR): Principles and applications of QSAR in drug design, including statistical methods and machine learning techniques.
โข De novo Drug Design: Methods and tools for de novo drug design, including fragment-based design and molecular docking.
โข Pharmacophore Modeling: Principles and applications of pharmacophore modeling in drug design, including 3D pharmacophore perception and database searching.
โข Molecular Dynamics Simulations: Advanced concepts and techniques in molecular dynamics simulations, including enhanced sampling methods and free energy calculations.
โข Case Studies in Drug Design: Analysis of successful drug design projects, including case studies in anti-cancer, anti-viral, and anti-inflammatory drugs.
โข Current Trends in Computational Chemistry: Overview of emerging trends and technologies in computational chemistry, including artificial intelligence, machine learning, and big data analysis.
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