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Pathway Database

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Predecessors/Successors. atom-id = 411. direction = forward. degree = 3. prune common compounds ... joins, prunes, finds predecessors/successors. produces graph output ... – PowerPoint PPT presentation

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Title: Pathway Database


1
Pathway Database
  • Carl Schaefer
  • February 21, 2003

2
Why Spend Effort on Pathways?
  • Target as process vs. target as molecule
  • In the end, what matters is a hyperactive process
    (e.g. mitosis), not just an over-expressed
    protein
  • Phenotype classification
  • Higher-level feature than transcript abundance

3
Why Spend Effort on a Pathway Database?
  • A picture may be worth a thousand words ...
  • but a computable representation is even better
  • Make assumptions explicit
  • Combine sources of data
  • KEGG, BioCarta, ...
  • Merge data from separate pathways
  • E.g. BioCartas Cyclins and Cell Cycle
    Regulation and Cyclin E Destruction Pathway
  • Causal framework for quantitative
    simulation/analysis
  • ... when the data becomes available

4
Basics
  • Model a causal network
  • Be composable (novel pathways)
  • Cope with lack of knowledge
  • Promote understanding

5
Model A Causal Network
  • Graph (nodes edges)
  • Distinguish two kinds of nodes (molecules
    processes)
  • Allow labels on nodes and edges
  • molecule-type (compound, protein, complex, rna)
  • molecule-id (...)
  • process-type (reaction, binding, modification,
    translocation, transcription, cell process)
  • edge-type (input, output, agent, inhibitor)
  • activity-state (active, inactive)
  • location (extracellular, transmembrane,
    cytoplasm, nucleus)
  • reversible (yes, no)

6
Composable
  • Atomic pathway
  • a process node
  • immediately adjacent molecules
  • the connecting edges
  • Join atomic pathways on identical molecules
  • ... and maybe on molecule subtype relation

7
Pathway ConstructionJoining Atomic Pathways
8
Lack of Knowledge
  • Hierarchy of label values
  • e.g., edge-type ? incoming-edge ? agent
  • Hierarchy of molecule ids
  • GO id
  • Gene product
  • Specific protein
  • Families of molecules
  • Handbook
  • E.g. for Raf-1, active-1 means
    phosphorylation at S259

9
Promote Understanding
  • Hide unwanted detail
  • prune common molecules
  • encapsulate sub-pathways
  • Query by connectedness (cause effect)
  • Find patterns

10
Omission of Dont Care DetailPruning Common
Compounds
11
Query by ConnectednessPredecessors/Successors
atom-id 411 direction forward degree
3 prune common compounds
12
Patterns
  • Templates for atomic pathways
  • process-typemodification
  • molecule-typeprotein1edge-typeagent
  • molecule-typeprotein2edge-typeinputactivity-
    stateinactive
  • molecule-typeprotein2edge-typeoutputactivity
    -stateactive
  • Maybe multi-process templates (e.g., a cascade)

13
What Do We Need?
  • Computation model of pathway interactions
  • Persistent data model
  • Tools
  • data input
  • query and analysis
  • visualization
  • Data, data, data, ...

14
What Do We Have?
  • Computation model mostly worked out
  • Persistent data model mostly worked out
  • Tools
  • working on data input
  • have a query/analysis tool
  • joins, prunes, finds predecessors/successors
  • produces graph output
  • extracts first-order patterns
  • using GraphViz to produce SVG diagrams
  • Data, data, data ...
  • Loaded KEGG into database
  • Next 30 BioCarta pathways related to apoptosis,
    cell-cycle regulation and histone deacetylase
    activity
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