The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR.
- Professor: Andrea Cavalli
- Teacher: Alessia Ghidini
- Professor: Jieping Zhu
- Professor: Aurélien Bornet
- Professor: Laura Piveteau
The goal of this course is to provide an overview on recent developments
in the design and synthesis of fluorescent and bioluminescent probes
for applications in basic research and medicine. Through the discussion
of recently published advances, general design principles will be
reviewed
- Professor: Kai Johnsson
- Professor: Xile Hu
- Professor: Jérôme Waser
The goal is to provide students with a complete overview of the principles and key applications of modern mass spectrometry and meet the current practical demand of EPFL researchers to improve structural analsis of molecules. Numerous instrumental aspects of mass spectrometry are described.
Content
The course program includes:
- Mass spectrometry basics (ionization techniques, mass analyszers and detectors) and applications
- Tandem mass spectrometry and hyphenation with separation (UPLC and GC) systems
- Fragmentation mechanisms/techniques and structural analsis for identification of compounds
- Fourier-Transform Mass spectrometry (Orbitrap and ICR mass analyzers)
- Quantification (absolute and relative) methods with low resolution (triple quadrupole) and high-resolution (QTOF and Orbitrap) instruments
- Analysis of biomolecules such as bottom-up and top-down MS for peptide/protein analysis, analysis of binding sites of metallated-ligands on peptides…
- Open-source tools for Advanced analysis of mass spectra
- Proteomics, lipidomics and metabolomics fields
The course includes practical work in mass spectrometry that will be given in the Mass Spectrometry Service Facility of ISIC (SSMI, SB, EPFL)
- Professor: Natalia Gasilova
- Professor: Laure Menin
- Professor: Daniel Ortiz Trujillo
- Professor: Luc Patiny
Summary
This course will have three components: Molecular Simulation, Electronic Laboratory Notebooks, and Machine learning. The focus of the course is applications to microporous materials (metal organic frameworks, zeolites, covalent organic frameworks) and is aimed at non-computational chemists.- Teacher: Sauradeep Majumdar
- Teacher: Luc Patiny
- Teacher: Berend Smit
- Teacher: Joren Jozef M. Van Herck
- Teacher: Luc Patiny
- Teacher: Berend Smit
