Protein Prediction I Beginners (IN2322)
Course 821093429 in SS 2016
General Data
| Course Type | Lecture w/ Exercise |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 12 - Chair of Bioinformatics (Prof. Rost) |
| Lecturers | |
| Dates |
Tue, 09:00–11:30 Thu, 10:00–12:30 Thu, 12:30–14:00, MI HS2 Thu, 12:30–14:00, MI HS3 |
Assignment to Modules
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IN2322: Protein Prediction I for Computer Scientists / Protein Prediction I for Computer Scientists
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Intro: what is protein function? Predicting protein function using sequence: sequence alignments, multiple sequence alignments, motifs, domain assignment, annotation transfer by homology, ab initio predictions. Predicting protein function using structure: structural alignments, structural motifs, annotation transfer via structure similarity. From structure prediction to function prediction: comparative modeling; prediction of: secondary structure, hydrophilicity profiles, solvent accessibility, transmembrane segments, disordered regions, contact maps, functional residues; template free modeling. Machine learning. |
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| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |