| Students have a deep understanding of structural bioinformatics, focusing on the computational prediction and analysis of the 3D structures of biological macromolecules such as DNA, RNA, and proteins. They are able to use bioinformatics tools for structure prediction, alignment, and functional annotation, applying these techniques to fields like drug design and pharmacological research.
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- Using Databases and Molecular Viewers for 3D Structures (k5)
Students can access and utilize databases for 3D structures, as well as molecular viewers, to visualize and analyze the spatial conformations of biological macromolecules.
- Predicting Macromolecular Structures (k5)
Students are able to apply computational methods, including threading, ab initio prediction, and molecular dynamics simulations, to predict the 3D structures of biological macromolecules.
- Performing Structural Alignments and Protein Classification (k5)
Students can conduct structural alignments to compare 3D structures of proteins and classify proteins based on their structural features and similarities.
- Conducting Motif Searches and Functional Annotation (k5)
Students are capable of performing motif searches to identify conserved patterns within biological structures and applying functional and structural annotation to understand the roles of macromolecules.
- Applying Structural Bioinformatics in Drug Design (k5)
Students can use structural bioinformatics techniques in drug design, applying knowledge of molecular structures to predict interactions and develop novel therapeutic compounds.
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Students know of structural bioinformatics, including key methods for predicting and analyzing the 3D structures of biological macromolecules. They understand how structure prediction, alignments, and annotations are applied to research areas like drug design, with a focus on the role of macromolecular structure in biological function.
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