guest: systems biology Flashcards

1
Q

define systems biology

A

interdisciplinary approach to studying life sciences via integration of complex biological components using mathematical and computational modelling

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2
Q

how tradiitonally study biological systems

A
  • complexity of biological systems constrained how we study.
  • use reductionist approach
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3
Q

omics technologies developed

A

study entire organism in one aspect.
- cost decreased,
- easy to obtain technology
shift from reductionist to integrative or holistic approach

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4
Q

biological data to mathematical representations

A
  • gene -> protein -> reaction relationship
  • enzyme catalyse chemical rxn
    -reaction linked to matric
    = metabolic reconstruction in numbers
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5
Q

from math to computational model

A

curate draft reconstruction by adding known GPR data from literature
- add physiological data + compute model
-train model on omics data
end product: predictive model of organism’s metabolism

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6
Q

application of genome scale metabolic models

A

how to engineer bacteria to produce product of interest

  • ID gaps to ID new genes
  • ID metabolic pathways that are on/off
  • analyze how paths are interconnected
  • find in silico knowck out pathways
  • ID necessary growth substrates, and interspecies interactions
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7
Q

stein lab application

A

methan -> methanotrophs -> biofuel, bioplastic.

with GEM, figure out how to best metabolically engineer microbes for growth condition, product etc.

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8
Q

why should u care about systms?

A

rise of big data.

  • hub for lots of data
  • biotech projected to boom in time
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