Présentation
The course is intended for PhD students and postdocs working in experimental biology, but scientist of all levels are welcome. Participants will be introduced to a wide variety of popular bioinformatic tools aimed at exploring and predicting PPIs. At the end of the course, participants should have an increased ability to:
- Find and use information on PPIs from diverse databases.
- Visualise and inspect 3D structure of PPIs and PPI networks.
- Predict protein modules such as globular domains, unstructured regions and short linear motifs (LMs), from the protein sequence.
- Portray the characteristics of PPIs between different types of protein modules.
- Become acquainted with current strategies to target PPIs for drug design.
The course is structured in lectures and practical sessions (hands-on). Practical sessions are optional but highly advised. They will include the following applications:
- Biological database searches for information on PPI data associated to any protein of interest: UniProt, MINT, ePDB/PDB, among others.
- Exploration of PPI networks: STRING, STITCH, Cytoscape.
- Identification of residues responsible for the physical contact between proteins in PPIs using CLUSTALX, JalView, PyMOL, PISA.
- Prediction of protein interaction modules from protein sequence: using resources such as ELM, IUPRED, Anchor.
The full programme can be found here
Speakers
- Alexandre Bonvin from Utrecht University, Utrecht
- Alessandra Carbone from Université Pierre et Marie Curie, Paris
- Freddy Cliquet from Institut Pasteur, Paris
- Javier de las Rivas from Cancer Research Center, Salamanca
- Zsuzsanna Dosztányi from Lorand Eotvos University, Budapest
- Toby Gibson from EMBL, Heidelberg
- Raphaël Guerois from Commissariat à l’énergie atomique et aux énergies alternatives, Paris
- Daniel Ladant from Institut Pasteur, Paris
- Sonia Longhi from AFMB, Marseille
- Olivier Sperandio from Institut Pasteur, Paris
- Pierre Tufféry from INSERM / Paris 7, Paris
Organizing Committee
Localisation
Bâtiment: Lwoff
Adresse: 25 Rue du Docteur Roux, Paris, France
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