MLU
PHA.06109.02 - B-PhBT: Drug target identification and validation (Complete module description)
Original version English
PHA.06109.02 10 CP
Module label B-PhBT: Drug target identification and validation
Module code PHA.06109.02
Semester of first implementation
Faculty/Institute Institut für Pharmazie
Module used in courses of study / semesters
  • Pharmaceutical and Industrial Biotechnology (MA120 LP) (Master) > Pharmazie PharmacIndusBiotech.MA120, Version of accreditation valid from WS 2019/20 > Spezialisierung Pharmaceutical Biotechnology
  • Pharmaceutical and Industrial Biotechnology (MA120 LP) (Master) > Pharmazie PharmacIndusBiotech.MA120, Version of accreditation (WS 2015/16 - SoSe 2023) > Spezialisierung Pharmaceutical Biotechnology
Responsible person for this module
Further responsible persons
W. Sippl
Prerequisites
Skills to be acquired in this module
  • Basic understanding of drug substances and drug targets
  • Knowledge of methods and illustrative examples of drug target identification and validation - Basic understanding of the connection between molecular and clinical effects of drug substances
  • Knowledge on enzyme classes and mechanisms relevant for the selective synthesis of active compounds and chemicals
  • Basic knowledge on enzyme screening, characterization, and selectivity
  • Basic knowledge on enzyme and reaction engineering
  • Application of proteomics methods to diseases
  • Basic understanding of protein based diseases
  • Basic understanding of approaches to diagnose protein based diseases with focus on neurological disorders
  • Knowledge of the basic concepts of Computational Biology and Bioinformatics
  • A first and transparent introduction in comparative modeling and molecular dynamics simulations
  • Concepts of analyzing proteins/drug targets in 3D
  • Principles of modeling biological data
Module contents
Course B-PhBT.1: General aspects of drug target identification and validation
  • Definition and characteristics of drug substances
  • Definition and characteristics of molecular drug targets
  • Interaction of drug substances and drug targets
  • Propagation of molecular drug effects
  • Methods and techniques for the identification and validation of drug targets
  • Correlation and causality of molecular and clinical drug effects
Course B-PhBT.2: Biocatalysis for drug and chemical syntheses
  • What are the benefits of biocatalysis?
  • Enzyme classes and their relevance for the biocatalytic production of active compounds and chemicals
  • Basic molecular mechanisms of enzyme catalysis
  • Screening for suitable enzyme activities
  • Enzyme purification and characterization
  • Chirality and how it is achieved by enzymes %u2013 kinetic resolution %u2013 asymmetric synthesis
  • Application modes of biocatalysis %u2013 in vitro and in vivo applications
  • Improvement of enzyme properties
o Directed mutagenesis
o Directed evolution
  • Basics of reaction engineering and cofactor regeneration
  • Examples of industrial applications
Course B-PhBT.3: Protein based diseases
  • General overview on diseases caused by proteins
  • Protein misfolding and aggregation in neurological diseases
  • Cerebrospinal fluid and blood biomarkers in neurodegenerative disorders
  • Metabolic myopathies
4. Course B-PhBT.4: Protein modeling and simulation
  • Introduction to Bioinformatics and comparative/homology modeling
  • Introduction in sequence alignment techniques
  • Analyzing protein structures
  • Commonly used force fields for protein simulations
  • Introduction to Molecular Dynamics
  • Introduction to docking simulations
Forms of instruction Seminar (9 SWS)
Course
Languages of instruction German, English
Duration (semesters) 1 Semester Semester
Module frequency jedes Wintersemester
Module capacity unlimited
Time of examination
Credit points 10 CP
Share on module final degree Course 1: %; Course 2: %.
Share of module grade on the course of study's final grade 1
Module course label Course type Course title SWS Workload of compulsory attendance Workload of preparation / homework etc Workload of independent learning Workload (examination and preparation) Sum workload
Course 1 Seminar Project seminar 9 0
Course 2 Course Private study 0
Workload by module 300 300
Total module workload 300
Examination Exam prerequisites Type of examination
Course 1
Course 2
Final exam of module
Klausur
Exam repetition information
Prerequisites and conditions Prerequisites Frequency Compulsory attendance Share on module grade in percent
Course 1 Winter semester No %
Course 2 Winter semester No %