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DNA RNA Protein Protein-Protein Pathway Pathway-Pathway Network Networks of Higher Order Trait
Interaction Interaction Networks Networks
5
Disease Network
H um an Protein Interactom e
S ystem -w ide m easurem ents Disease and biolog ical
system knowledge
C ontextual
inform ation
Extraction of sub-networks related to targeted disease processes
Different reconstruction alg orithm s
Data Driven Knowledge Driven
6
Networks are robust to random perturbation… … but susceptible to targeted perturbation
Videos Removed
7
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Inclusion Criteria Positives
MW (300-550) 12225
H acceptors (1-10) 12368
H donors (1-5) 16434
Rotatable bonds (2-10) 13242
TPSA (50-130) 14485
xLogP (0.5-5) 13798
Unnamed 15721
•
•
•
•
Telomerase signalling Oncology 393 4.3% 6
Hedgehog pathway Oncology 1146 5.5% 20
TNFα release Autoimmunity 356 7.3% 12
Influenza replication Antiviral 1048 2.2% 4
Tryptophan catabolism Immune oncology 273 11% 4
Systemic inflammatory response
syndrome
Immunology 292 11% 4
Axonal degeneration CNS 1696 3.4% 9
Reversal of T-cell exhaustion Immune oncology 483 on-going -
Perscreen
Compoundsassayed
10
2
10
3
10
4
10
5
10
6
10
7
NDD guided vs other
PDD
0
5
10
15
%hits
13
Telomerase signalling Oncology 393 4.3% 6
Hedgehog pathway Oncology 1146 5.5% 20
TNFα release Autoimmunity 356 7.3% 12
Influenza replication Antiviral 1048 2.2% 4
Tryptophan catabolism Immune oncology 273 11% 4
Systemic inflammatory response
syndrome
Immunology 292 11% 4
Axonal degeneration CNS 1696 3.4% 9
Reversal of T-cell exhaustion Immune oncology 483 on-going -
α
14
μ
•
• α
•
•
•
• ҂
҃
•
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Network-driven drug discovery: A computational network biology approach to drug discovery
Network-driven drug discovery: A computational network biology approach to drug discovery
Network-driven drug discovery: A computational network biology approach to drug discovery

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Network-driven drug discovery: A computational network biology approach to drug discovery

  • 1.
  • 2.
  • 3. • • DNA RNA Protein Protein-Protein Pathway Pathway-Pathway Network Networks of Higher Order Trait Interaction Interaction Networks Networks
  • 4.
  • 5. 5 Disease Network H um an Protein Interactom e S ystem -w ide m easurem ents Disease and biolog ical system knowledge C ontextual inform ation Extraction of sub-networks related to targeted disease processes Different reconstruction alg orithm s Data Driven Knowledge Driven
  • 6. 6 Networks are robust to random perturbation… … but susceptible to targeted perturbation Videos Removed
  • 7. 7
  • 8.
  • 9.
  • 11. Inclusion Criteria Positives MW (300-550) 12225 H acceptors (1-10) 12368 H donors (1-5) 16434 Rotatable bonds (2-10) 13242 TPSA (50-130) 14485 xLogP (0.5-5) 13798 Unnamed 15721
  • 12. • • • • Telomerase signalling Oncology 393 4.3% 6 Hedgehog pathway Oncology 1146 5.5% 20 TNFα release Autoimmunity 356 7.3% 12 Influenza replication Antiviral 1048 2.2% 4 Tryptophan catabolism Immune oncology 273 11% 4 Systemic inflammatory response syndrome Immunology 292 11% 4 Axonal degeneration CNS 1696 3.4% 9 Reversal of T-cell exhaustion Immune oncology 483 on-going -
  • 13. Perscreen Compoundsassayed 10 2 10 3 10 4 10 5 10 6 10 7 NDD guided vs other PDD 0 5 10 15 %hits 13 Telomerase signalling Oncology 393 4.3% 6 Hedgehog pathway Oncology 1146 5.5% 20 TNFα release Autoimmunity 356 7.3% 12 Influenza replication Antiviral 1048 2.2% 4 Tryptophan catabolism Immune oncology 273 11% 4 Systemic inflammatory response syndrome Immunology 292 11% 4 Axonal degeneration CNS 1696 3.4% 9 Reversal of T-cell exhaustion Immune oncology 483 on-going -
  • 14. α 14
  • 15. μ