Molecular modelling 2
Master ChimieParcours Chémoinformatique
Description
Molecular self-assembly is among the critical phenomena at the nanoscale as it provides the path of lowest energy consumption for the formation of nanostructures with controlled shapes and functions. Understanding factors that govern molecular recognition is therefore of fundamental interest and opens to the rational design of new materials. The ultimate goal of this UE is learning how to quantify molecular recognition (or binding) in solution by modeling and rigorous free-energy calculations based on Molecular Dynamics. The course is organized in the form of a tutored project carried out in groups that develops over six weeks. Every week, new theoretical/simulation material is presented and a demonstration on how to implement it is given in the computer room. In a second moment, the homework submitted by the students is analyzed and discussed live in a feedback session. At the end of the course, all groups present their results in front of the class and are graded by peers.
Contacts
Responsable(s) de l'enseignement
MCC
Les épreuves indiquées respectent et appliquent le règlement de votre formation, disponible dans l'onglet Documents de la description de la formation.
- Régime d'évaluation
- CT (Contrôle terminal, mêlé de contrôle continu)
- Coefficient
- 3.0
Évaluation initiale / Session principale - Épreuves
Libellé | Type d'évaluation | Nature de l'épreuve | Durée (en minutes) | Coéfficient de l'épreuve | Note éliminatoire de l'épreuve | Note reportée en session 2 |
---|---|---|---|---|---|---|
Oral defense by team | CT | A | 30 | 1.00 | ||
Average of 4 written reports | CC | R | 1 |
Seconde chance / Session de rattrapage - Épreuves
Libellé | Type d'évaluation | Nature de l'épreuve | Durée (en minutes) | Coéfficient de l'épreuve | Note éliminatoire de l'épreuve |
---|---|---|---|---|---|
Individual oral defense | CT | A | 30 | 1.00 |