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# Coursebooks 2017-2018

## Symmetry and Conservation in the Cell

#### BIO-692

#### Lecturer(s) :

Shillcock Julian Charles#### Language:

English

#### Frequency

Every year#### Remarque

Sping 2018#### Summary

This course aims to show students how the physical principles of conservation, symmetry and locality influence the dynamics of living organisms at the molecular and cellular level. Computer simulations are used to explore examples of cellular processes illustrating these principles.#### Content

This course aims to show students how the physical principles of conservation, symmetry and locality influence the dynamics of living organisms at the molecular and cellular level. We start with simple equations that embody a physical principle and compare them with experiments on cells or model systems. The importance of the local environment on dynamics at the molecular scale is introduced, and its influence on typical molecular-scale motions explored, including particle diffusion, the forces between particles in various media, and self-assembly of molecules into larger aggregates. Symmetric and asymmetric random processes are explored in 1, 2 and 3 dimensions, and the combined effects of symmetry, in the sense of invariance under an operation, and mass conservation, or the re-use of a limited amount of matter, are shown to constrain how molecular aggregates assemble, stabilise or disassemble. Computer simulations of simple model systems are used as examples for exploration in problems and a semester project. The primary goal of the course is to show students how nature takes advantage of symmetry and conservation, or selectively breaks them, to achieve specific cellular goals, and to understand how computer simulations can be used to study these processes.

Lecture 1 - Overview of the biophysics of a cell at different length scales: a 'day in the life of a cell'

Lecture 2 - Constructing mathematical models, Random Walks (RW) in 1, 2 and 3 dimensions.

Lecture 3 - RW part 2, Langevin equation and diffusion processes in the cell

Lecture 4 - RW part 3, scaling laws for polymers, self-avoiding versus phantom polymers, entropic spring, stiff asymmetric filaments and filament self-assembly and growth

Lecture 5 - Linear RW model of neurite growth, branched polymers as models of neurons

Lecture 6 - Self-assembly in the cell; oil droplet coarsening, vesicle self-assembly, crowding effects on diffusion and reactions in cells

Lecture 7 - Overview of computer simulations relevant to molecular processes in the cell

Lecture 8 - Computer Simulation fundamentals: initial config, BCs, PBCs, observables, statistics, and errors

Lecture 9 - Computer Simulations, part 2, simulating different scales in a cell, Atomistic MD, mesoscopic DPD, BD, MC, what does each type of simulation get right at what cost?

Lecture 10 - Membranes, influence of lipid molecular shape and symmetry on self-assembly

Lecture 11 - Membranes part 2, fluid and solid membranes

Lecture 12 - Membranes part 3, not only a barrier, Litster theory of pore formation, pore shape fluctuations at reduced line tension, localised pore formation in vesicle fusion, endocytosis and exocytosis

Lecture 13 - Harnessing symmetry in cellular processes: why do lipids have two hydrocarbon tails? Nanoparticles and their interactions with membranes

Lecture 14 - Project presentations

As part of the exercises and project, students will be expected to solve simplified models of diffusion processes in a cell using differential equations; set up and run a Dissipative Particle Dynamics simulation (the executable code and sample input files for modification will be provided), analyse the simulation output and present it in the form of time-averaged observables with an error estimation, and as time series plots.

Learning Outcomes -

Choose and justify which molecular simulation techniques are suitable for simulating selected cellular processes; solve simplified dynamical models relevant to a cell; and explain how the symmetry of molecules and aggregates influences cellular properties

#### Note

Because of the limited size of the class, please sign up by contacting edne@epfl.ch

#### Keywords

Membrane, organelle, lipid, vesicle, nanoparticle, diffusion equations, simulation, molecular shape, symmetry, random walk

#### Learning Prerequisites

##### Required courses

BIO-205, MATH-106, PHYS-101

##### Recommended courses

CS-111

### In the programs

- Neuroscience (edoc), 2017-2018
**Semester****Exam form**

Multiple**Credits**

3**Subject examined**

Symmetry and Conservation in the Cell**Lecture**

21 Hour(s)**Exercises**

40 Hour(s)

### Reference week

### legend

- Autumn semester
- Winter sessions
- Spring semester
- Summer sessions

- Lecture in French
- Lecture in English
- Lecture in German