Physics protein 1
A.Y. 2016/2017
Learning objectives
Il corso introduce alcuni aspetti del ripiegamento delle proteine ed approfondisce gli aspetti di meccanica statistica di questi sistemi. Oltre a fornire le basi per capire il comportamento delle proteine in soluzione, il corso rappresenta un'esempio di applicazione di numerose tecniche di meccanica statistica di equilibrio e di nonequilibrio, e quindi può essere di interesse a tutti gli studenti che vogliano studiare sistemi complessi.
Expected learning outcomes
Undefined
Lesson period: First semester (In case of multiple editions, please check the period, as it may vary)
Assessment methods:
Assessment result:
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Course syllabus
Introduction on proteins; rehearsal of statistical mechanics.
Interactions among amino acids, statistic derivation of van der Waals parameters; hydrophobic interaction.
Polymer theory; ideal chain, random coil and globules; coil-globule transition, helix-coil transition.
Disordered interactions: the random energy model; drops of replica method; energetic properties of proteins.
Molecular dynamics; Langevin equationl probabilistic theory; Fokker-Planck equation; barrier jump; Kramers equation.
Stochastic processes; thermodynamic sampling; Monte Carlo methods and its variants.
Semplified models of proteins and numerical techniques.
Protein sequence space and molecular evoultion.
Interactions among amino acids, statistic derivation of van der Waals parameters; hydrophobic interaction.
Polymer theory; ideal chain, random coil and globules; coil-globule transition, helix-coil transition.
Disordered interactions: the random energy model; drops of replica method; energetic properties of proteins.
Molecular dynamics; Langevin equationl probabilistic theory; Fokker-Planck equation; barrier jump; Kramers equation.
Stochastic processes; thermodynamic sampling; Monte Carlo methods and its variants.
Semplified models of proteins and numerical techniques.
Protein sequence space and molecular evoultion.
Professor(s)