Udemybeginneren

Introduction to Cheminformatics and medicinal chemistry

Learn drug development chemistry! Analyze molecules with free software. Explore the science behind new medicines.

4.3(508)
2,137students
2h 51m
Certificate
Guilherme Matos Passarini, phD
Guilherme Matos Passarini, phDProfessor

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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