Computational Biochemistry

1 Credit · Level: Graduate

In the modern world, pharmaceutical and academic research increasingly rely on computational chemistry methods to study small and large biological systems. Computational chemistry plays a crucial role in medicine, biology, chemistry, physics, and materials science, providing essential tools for studying molecular interactions and developing new therapeutics. This course introduces key concepts and methods in computational chemistry along with their applications in biochemistry, molecular biology, and related fields. Students will explore both methodological and practical aspects through case studies, integrating computational techniques with real-world applications in drug discovery, medicinal chemistry, and environmental science. Students will learn how computational chemistry aids in disease research, particularly in therapeutic applications such as cancer drug discovery. Through a combination of lectures and hands-on practice, students will acquire the skills to analyze molecular systems, from small organic compounds to biological macromolecules. By the end of the course, students will understand how computational tools are used in disease and therapeutics research. Additionally, the course provides integrated knowledge and practical experience, preparing students to bridge the gap between computational chemistry and its biological applications.