Prof. Dr. W. Sippl

• Basic understanding of drug substances and drug targets • Knowledge of methods and illustrative examples of drug target identification and valida-tion • Basic understanding of the connection between molecular and clinical effects of drug substances • Knowledge of bioanalytical tools for protein separation and ~identification • Ability to judge the quality of results, i.e., protein identification, protein quantitation • Ability to set up a proteomics workflow in industry • Application of proteomics methods to diseases • Knowledge of edible vaccine concepts • Knowledge of fusion protein strategies • Understanding of differences between stable and transient expression systems • 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

Course B.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.2: Proteomics • Methods for separating complex protein mixtures (2-DE, LC) • Protein mass spectrometry (ionization methods; mass analyzers) • Protein sequencing • Quantitative proteomics (ICAT, iTRAQ) • Analysis of post-translational modifications (glycosylation, phosphorylation) • Protein-protein interactions • In-vivo proteomics • Proteome analysis for investigation of diseases • Automation of the proteomics workflow
Course B.3: Molecular F(Ph)arming - Basics, Principles and Examples • General overview about expression of human proteins in transgenic organisms including microorganisms and mammalian cells. • Basics of intracellular sorting with special focus to plant cells. • N-glycosylation especially according the differences between plants and mammals. • Plantibody concept • Fusion protein strategies (expression enhancement, stability enhancement • Vaccines from plants including edible vaccine concepts. • Therapeutic antibodies from plants, different recombinant antibody formats. • Plant-based production of therapeutic proteins as human serum albumins and insulin as well as silk proteins for nanomedicine
4. Course B.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

Klausur