Biological Networks Introduction to Bioinformatics Dortmund, - - PowerPoint PPT Presentation

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Biological Networks Introduction to Bioinformatics Dortmund, - - PowerPoint PPT Presentation

Biological Networks Introduction to Bioinformatics Dortmund, 16.-20.07.2007 Lectures: Sven Rahmann Exercises: Udo Feldkamp, Michael Wurst 1 Different Kinds of Networks Networks model interactions Mathematical basis: Graphs (as for


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Biological Networks

Introduction to Bioinformatics Dortmund, 16.-20.07.2007 Lectures: Sven Rahmann Exercises: Udo Feldkamp, Michael Wurst

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Different Kinds of Networks

  • Networks model interactions
  • Mathematical basis: Graphs

(as for phylogenetic trees)

  • Examples of Networks

– social (contact, friendship): Xing, studivz – WWW (dynamically created content?) – biological, chemical, – ...

  • Vertices, edges of networks contain information

(annotations), e.g., reaction rates, ...

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Biological Networks

  • Transcriptional regulation (protein – DNA)
  • Protein-protein interaction
  • Protein-ligand interaction
  • Metabolomic networks
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“Random Networks”

  • Mathematical models of networks
  • “Algorithms” for creating networks according to

certain rules

– e.g., uniform random networks – “growing a network”

  • Mathematical analysis of properties

– scale free?:

Properties do not change with view level

  • Comparison to real networks
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“Network Motifs”

  • Network motifs :=

Subgraphs in a network that appear more frequently than expected (in a random graph model)

  • Idea: All biological networks can be built from a

small number of building blocks (motifs)

  • Methods from data mining:

e.g., frequent itemset mining (items bought together in the supermarket)

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Pathways

  • pathway :=

part of a network (no unique more specific definition possible)

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Pathway Databases

  • Pathway Resource List

http://www.cbio.mskcc.org/prl/index.php

  • Expasy
  • KEGG
  • TransPATH
  • BioCyc
  • BindDB
  • MIPS
  • Reactome
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KEGG

  • Kyoto Encyclopedia of Genes and Genomes
  • Pathways manually entered, stored as images (.gif)
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BioCyc (EcoCyc)

  • URL: http://www.biocyc.org
  • The primary database was EcoCyc (E. coli)
  • Several curated pathway/genome databases (PGDB)

– each focusing on one organism (ca. 600 organisms)

(e.g. HumanCyc, AraCyc)

  • MetaCyc database contains non-redundant reference

pathways

  • Supports

– “Pathway Tools” software suite to analyze PGDBs – “PathoLogic” pathway prediction program for new

genomes

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BioCyc Pathway Tools

  • Full metabolic map

– paint gene expression data on metabolic network – compare metabolic networks

  • Pathways

– pathway prediction (PathoLogic)

  • Reactions

– balance checker

  • Compounds

– chemical substructure

  • Comparison
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CoryneRegNet

  • Transcriptional regulation in Corynebacteria