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Reverse engineering the human biology….
Probably is going to save your life or the life of someone you care about
A source code of 3200 million letters (AGTC)
The sequence is cut and folded by ribosomes
Proteins stitch together or with molecules when they fit in shape
and electrical field
Different functions: structural, metabolic, transporting,
messenger, antibodies.
?
Deciphering the real network of interactions
is a reverse engineering problem…machine
learning
Drug, compound information, protein sequence and structure, protein interactions,
Clinical trials, active site DDBBs, Patent Web Pages, pathologies and pathways, indications, drug adverse
events, publications, micro arrays, demographic databases…
More than 50 DDBB
RNA sequencing and microarrays cheaply measure the “state” of thousands of proteins at once
What’s the physiological path
from the stimulus to the
response?
Response
Stimulus
Response
We developed a system to combine all those evidences in populations of plausible
causal networks
INPUT OUTPUT
DRUG
INDICATION
?
YES/NO
MACHINE LEARNING
network is adjusted to populations with a certain disease
What protein to measure to detect if some one have or will
have that disease?
What to change in the network to make it work as a normal
population?
Is this drug going to work for what it is designed?
Which adverse events is going to produce my drug?
New treatments in Alzheimer, glaucoma, neuronal regeneration,…
New biomarkers for drug hepatotoxicity detection, response to
malaria vaccines, …
Helped a lot of pharma’s to understand their drugs
The future….
Your treatment will depend of your pathology and of your
biology
Personalized medicine

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Reverse engineering human biology to save lives

  • 1. Reverse engineering the human biology…. Probably is going to save your life or the life of someone you care about
  • 2.
  • 3. A source code of 3200 million letters (AGTC)
  • 4. The sequence is cut and folded by ribosomes
  • 5. Proteins stitch together or with molecules when they fit in shape and electrical field
  • 6. Different functions: structural, metabolic, transporting, messenger, antibodies.
  • 7.
  • 8. ? Deciphering the real network of interactions is a reverse engineering problem…machine learning
  • 9. Drug, compound information, protein sequence and structure, protein interactions, Clinical trials, active site DDBBs, Patent Web Pages, pathologies and pathways, indications, drug adverse events, publications, micro arrays, demographic databases… More than 50 DDBB
  • 10. RNA sequencing and microarrays cheaply measure the “state” of thousands of proteins at once
  • 11. What’s the physiological path from the stimulus to the response? Response Stimulus Response We developed a system to combine all those evidences in populations of plausible causal networks
  • 13. network is adjusted to populations with a certain disease What protein to measure to detect if some one have or will have that disease? What to change in the network to make it work as a normal population? Is this drug going to work for what it is designed? Which adverse events is going to produce my drug?
  • 14. New treatments in Alzheimer, glaucoma, neuronal regeneration,… New biomarkers for drug hepatotoxicity detection, response to malaria vaccines, … Helped a lot of pharma’s to understand their drugs
  • 15. The future…. Your treatment will depend of your pathology and of your biology Personalized medicine