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Protein Prediction I for Computer Scientists (IN2322)

Course 821093429 in SS 2019

General Data

Course Type lecture
Semester Weekly Hours 4 SWS
Organisational Unit Informatics 12 - Chair of Bioinformatics (Prof. Rost)
Lecturers Lothar Richter
Burkhard Rost
Dates Thu, 10:15–11:45, MW 1801
Tue, 10:15–11:45, MW 1801

Assignment to Modules

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.
Links Course documents
E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2018 Protein Prediction I for Computer Scientists (IN2322) Richter, L. Rost, B. Tue, 10:15–11:45, MW 1801
Thu, 10:15–11:45, MW 1801
SS 2017 Protein Prediction I Beginners (IN2322) Richter, L. Rost, B. Tue, 13:00–15:00, MW 2250
Tue, 10:15–11:45, MW 1801
Thu, 10:15–11:45, MW 1801
Thu, 12:30–14:00, MI HS3
and singular or moved dates
SS 2016 Protein Prediction I Beginners (IN2322) Tue, 09:00–11:30, MW 1801
Thu, 10:00–12:30, MW 1801
Thu, 12:30–14:00, MI HS2
Thu, 12:30–14:00, MI HS3
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