Random Walks

author: Srinandan Dasmahapatra, University of Southampton

Description

All life forms rely on information processing to maintain their highly organised state. Macromolecules and supramolecular structures are key to the special properties that set living systems apart from dead matter. The course will adopt an engineering perspective to introduce the molecular biology (proteins, RNA, DNA) and the physics (thermodynamics, kinetics, dynamics) required for understanding the operation of the molecularmachinery at work in living cells. On this basis the role andthe processing of information at the molecular level will be discussed - covering topics such as noise, molecular motors, conformational switching and intracellular networks - leading to decision making in cells (chemotaxis, development). Throughout the course the potential transfer of concepts from nature to artificial systems will be explored (robustness, self-repair, nano-engineering, molecular computing).

Categories

Top: Computer Science: Complexity Science

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*Slides*
0:01	Robustness and Adaptation in Biochemical Networks of Bacterial Chemotaxis
5:25	Outline
8:54	Outline
9:22	Motion of E.Coli
10:57	E. Coli motion and the structure of flagellar apparatus
12:24	How fast do bacteria have to swim?
12:36	How fast do bacteria have to swim?
13:18	How fast do bacteria have to swim?
14:06	Motion of E.Coli
14:24	Diffusion times in water
16:20	Sensory apparatus that triggers motion
17:22	E. coli chemtactic pathway
18:25	Event sequence for triggering of flagellar motion
26:52	Outline
26:56	Phosphorylation and dephosphorylation events
29:20	Methylation events at the receptor
30:15	State Transitions for Signal Transduction
45:49	Outline
45:50	Adaptation in Bacterial Chemotaxis
46:21	Role of Methylation in Adaptation
46:44	Response characteristics to be captured in model
47:42	Response characteristics to be captured in model
48:41	Simplified model of Barkai-Leibler
49:14	Simplified model of Barkai-Leibler
49:24	Phosphorylation and dephosphorylation events
49:51	Simplified model of Barkai-Leibler
53:41	Barkai-Leibler model
55:12	Simplified Barkai-Leibler analysis - 2
56:00	Methylation events at the receptor
57:17	Simplified Barkai-Leibler analysis - 2
59:44	Methylation events at the receptor
59:53	Simplified Barkai-Leibler analysis - 2
60:11	Barkai-Leibler analysis - Steady State

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