Veranstaltung

Titel

Molecular Protein Evolution

Title Molecular Protein Evolution
Schwerpunkt/Focus
Sprache/Language englisch
VV-Nr./Course No. 132253
Modulverantwortlich/Responsible Dr. Andreas Lange
Vertreter/Co-responsible Prof. Dr. Erich Bornberg-Bauer
Anbieter/Teachers Prof. Dr. Erich Bornberg-Bauer, Dr. Andreas Lange, Dr. Bharat Ravi
Typ/Type Praktikum + Seminar
SWS/Semerster periods per week
Arbeitslast(h)/Work load 150 h
KP/Credit points 5 KP
Zuordnung/Classification Fortgeschrittenen-Modul
Semester/Semester SoSe
Studierende/Students MSc Biowissenschaften
MSc Biotechnologie
MSc Molekulare Biomedizin
Corona-Informationen/Corona-Information
Zeit/Date Block II: 15.05. - 16.06.2023
Ort/Location SP4-lab 10 (Schlossplatz 4) Institute for Evolution and Biodiversity (IEB, Hüfferstraße 1)
Beginn/Start
Vorbesprechung/Obligatory pre-meeting
Voraussetzung/Prerequisite
Anmeldung/Registration online
Leistungskontrollen/Performance assessments Protokolle + Mitarbeit + Report + Präsentation
Termine f. Leistungskontrollen/Date for performance assessments
max. NP/Max. grade points 200 NP
Ziele/Aims Theory and practicals of various techniques used in molecular protein evolution like directed evolution, and generating libraries of protein variants, and enzyme engineering. Example proteins (beta lactamase [known], and de novo proteins [unknown]) will be used to design strategies for protein evolution.
Inhalte/Content This course is an introduction into the principles of molecular protein evolution, and experimental techniques to study protein evolution along with their applications in biotechnology.
Laboratory techniques covered in the course focus on mutating proteins at specific sites (rational design) or at random sites (directed evolution), and selecting the mutated proteins for specific functions.
Methoden/Methods Laboratory techniques include site-saturation mutagenesis, error-prone PCR, site-directed mutagenesis, DNA shuffling, molecular cloning, bacterial growth assays, DNA purification, and DNA (Sanger) sequencing.
Computational techniques will cover DNA sequence analysis and protein structure predictions using AlphaFold.
Berufsrelevante und interdisziplinäre Komponenten/Occupational and interdisciplinary skills
Voraussetzung für/Prerequisite for
Präsenzpflicht/Compulsory presence ja/yes
Plätze/Number of participants 8
Gruppengröße/Group size Nach Vereinbarung
Materialien/Materials
Literatur/Literature Die Literatur für dieses Modul wird in der Vorbesprechung bzw. zu Modulbeginn individuell mit den Studierenden abgesprochen.
Links https://bornberglab.org/msc-teaching/, http://www.uni-muenster.de/Evolution/teaching/ssp.shtml
Sonstiges/Further information

Modulelemente:

Elemente of the module:
Titel/Title Zeit (von...bis)/Time (from...to) Ort(Raum)/Location
Übungen/Practical exercises
Vorlesung/Lecture
Seminare/Semeinars
Exkursionen/Excursions
Legende: / Legend:

= Modul gehört zum SPP Imoplant / Module is part of the SSP Imoplant
= Modul gehört zum SPP Evolution /Module is part of the SSP Evolution
= Modul gehört zum SPP Bioanalytics and Biochemistry /Module is part of the SSP Bioanalytics and Biochemistry
= Modul gehört zum SPP Neuroscience and Behaviour /Module is part of the SSP Neuroscience and Behaviour
= Modul gehört zum SPP Quantitative Cell Biology /Module is part of the SSP Quantitative Cell Biology