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| Name | Grades | Rating | |||
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BIOL 6V59 (Overall) | |||||
BIOL 6V59 Mehmet Candas | |||||
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| Name | Grades | Rating | |||
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BIOL 6V59 (Overall) | |||||
BIOL 6V59 Mehmet Candas | |||||
Comparative Analysis of Genes and Proteins
School of Natural Sciences and Mathematics
This self-guided study focuses on proteins' diverse properties, aiming to equip students with bioinformatics and AI tools to explore protein structures and functions. Projects integrate alignment, clustering, structure modeling, and virtual screening to evaluate molecular features. Studies include identifying sequence motifs, analyzing conserved domains, visualizing 3D structures, classifying unstructured regions, constructing phylogenetic profiles, speculating on mutation effects, and interpreting physicochemical descriptors in ligand binding, enzyme catalysis, protein interactions, and drug action. Students need a foundational understanding of protein biochemistry and biological databases. Instructor consent required. 2-5 credit hours.
Offering Frequency: Each year
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Grades: 0
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Mean GPA: None
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Comparative Analysis of Genes and Proteins
School of Natural Sciences and Mathematics
This self-guided study focuses on proteins' diverse properties, aiming to equip students with bioinformatics and AI tools to explore protein structures and functions. Projects integrate alignment, clustering, structure modeling, and virtual screening to evaluate molecular features. Studies include identifying sequence motifs, analyzing conserved domains, visualizing 3D structures, classifying unstructured regions, constructing phylogenetic profiles, speculating on mutation effects, and interpreting physicochemical descriptors in ligand binding, enzyme catalysis, protein interactions, and drug action. Students need a foundational understanding of protein biochemistry and biological databases. Instructor consent required. 2-5 credit hours.
Offering Frequency: Each year
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Comparative Analysis of Genes and Proteins
School of Natural Sciences and Mathematics
This self-guided study focuses on proteins' diverse properties, aiming to equip students with bioinformatics and AI tools to explore protein structures and functions. Projects integrate alignment, clustering, structure modeling, and virtual screening to evaluate molecular features. Studies include identifying sequence motifs, analyzing conserved domains, visualizing 3D structures, classifying unstructured regions, constructing phylogenetic profiles, speculating on mutation effects, and interpreting physicochemical descriptors in ligand binding, enzyme catalysis, protein interactions, and drug action. Students need a foundational understanding of protein biochemistry and biological databases. Instructor consent required. 2-5 credit hours.
Offering Frequency: Each year
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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| Name | Grades | Rating | |||
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BIOL 6V59 (Overall) | |||||
BIOL 6V59 Mehmet Candas | |||||
