Biochemistry

General Objectives The course aims to provide students with both fundamental and advanced knowledge in Computational Biochemistry, with a special focus on the analysis and understanding of protein structure. It seeks to integrate theoretical aspects with practical training, dedicating approximately half of the curriculum to hands-on experience with computational tools and open source software. By the end of the course, students will be able to use state-of-the-art techniques for modeling, simulating, and analyzing protein structures effectively and critically interpret the results, thereby contributing to the development of innovative biochemical approaches. Specific Objectives a) Knowledge and Comprehension: Understand the theoretical foundations of computational methodologies applied to protein structure analysis. Become familiar with the key molecular modeling, simulation, and protein interaction techniques. Deepen the understanding of the structural and functional features of proteins and their associated macromolecular complexes. b) Ability to Apply Knowledge and Comprehension: Use open source software and computational tools to analyze, model, and simulate protein structures. Apply advanced computational methods to solve specific challenges in Computational Biochemistry. Interpret and critically evaluate structural data within a biological context. c) Autonomous Judgment: Conduct independent studies on protein modeling and structural simulation. Select the most appropriate computational method for addressing a given biochemical problem. Critically assess the results and methodologies, integrating novel approaches from current research. d) Communication Skills: Communicate effectively the outcomes of computational analyses both in writing and orally. Present complex data using appropriate terminology and maintaining methodological rigor. Share acquired skills and findings in research settings, scientific presentations, and interdisciplinary collaborations. e) Learning Abilities: Develop the ability to continually integrate new discoveries and methodologies in Computational Biochemistry. Acquire the cognitive tools necessary to independently deepen expertise in advanced techniques of protein structure analysis and simulation. Be prepared for continuous updating in line with the evolution of molecular modeling and simulation technologies.