Introduction to Cheminformatics and medicinal chemistry
Learn drug development chemistry! Analyze molecules with free software. Explore the science behind new medicines.
Course Content
Introduction to Cheminformatics and medicinal chemistry is a beginner-level Udemy course taught by Guilherme Matos Passarini, phD. It runs 2h 51m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 508 reviews, with 2,137 students enrolled. It is a paid course, last updated July 2023.
Explore the exciting intersection of Medicinal Chemistry and Cheminformatics! This course provides a comprehensive introduction to these powerful fields, essential for drug discovery and beyond.
Cheminformatics bridges chemistry and informatics, utilizing theoretical chemistry knowledge with computational tools. It's a versatile discipline applied in drug development, environmental science, and material science. We'll concentrate on its crucial role in identifying promising drug candidates. You'll learn to:
- Navigate and utilize chemical databases effectively.
- Draw molecular structures with precision.
- Employ software to analyze physicochemical and structural features of molecules.
- Predict pharmacokinetic properties like plasma concentration.
- Assess bioactivity and safety profiles of compounds.
Medicinal Chemistry focuses on the chemical properties and structure of molecules to understand and optimize their biological activity. It's a core component of rational drug development, moving beyond traditional approaches. Key areas covered include:
- Understanding molecular representation in linear file formats.
- Leveraging physicochemical features to predict oral availability of drug candidates.
- Using free software to analyze molecular structure and predict physicochemical properties.
- Employing free software to analyze molecular structure and predict biological activity.
- Understanding the role of proteins in drug discovery.
- Exploring opportunities to contribute to biochemistry and protein design through platforms like Foldit.
This course is ideal for those interested in: drug design, computational chemistry, pharmacology, biotechnology, and contributing to advancements in healthcare.
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