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Snake Venom PLA2: Bioinformatics Approach

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Structurally similar but display differences in toxicity. Pharmacologically versatile ... Hydropathy Profiles. Application of the database. Earlier Hypothesis... – PowerPoint PPT presentation

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Title: Snake Venom PLA2: Bioinformatics Approach


1
Snake Venom PLA2Bioinformatics Approach
Md. Asif Khan
2
Outline
  • Overview
  • Challenges
  • Database
  • Analysis
  • Conclusion

3
Snakes Toxins
  • Why snake toxins?
  • Natural library 200,000 different toxins
  • Known gt 1
  • Attractive candidates for
  • Drugs
  • Therapeutics
  • Diagnostic agents

4
Snake Venom PLA2
  • Why snake venom PLA2?
  • Dual functions
  • Structurally similar but display differences in
    toxicity
  • Pharmacologically versatile

5
Challenges
  • Exponential growth of sequences
  • Toxicity test?
  • Data scattered across
  • multiple sources
  • A need to
  • Compile
  • Organise
  • Classify data

6
Aims
  • svPLA2s database
  • Structure-function classification
  • Analysis

7
Database
  • Facilitate information retrieval and data
    analysis
  • svPLA2 database
  • Special features?

8
Data retrieval
  • Keyword and sequence search
  • 45 unique entries and 55 redundant
  • Nov 2002
  • 289 unique entries

9
Pharmacological properties
  • Enriched entries
  • 150 svPLA2s - pharmacologically uncharacterised
  • 139 - reasonably characterised
  • Multiple effect

10
Structure-function classification
  • Correlating functional properties to structural
    information
  • Putative functional sites and motifs
  • Prediction modules
  • Structure-function correlation investigated
  • Pharmacological properties
  • Disulfide bridge patterns
  • Evolutionary relationship

11
Classification Tree
  • Structural and functional information
  • Tree layers
  • Orphan group
  • Detailed structure-function classification

12
Hydropathy Profiles
  • Application of the database
  • Earlier Hypothesis
  • Current sample size larger

13
Conclusion
  • Foundation for a more detailed and more
    systematic study of structure-function
    relationship of svPLA2s
  • Prediction modules
  • Exponential growth of data
  • Bioinformatics analyses in the study of svPLA2s

14
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15
Pharmacological properties
  • Multiple effects group- 23 entries
  • Different multiple effects? separate groups
  • Sequence Comparison

16
Disulfide patterns
  • CysAlign tool
  • Seven unique disulfide patterns from 140 entries
  • Classification?

17
Disulfide patterns
18
Phylogenetic analysis
  • Low bootstrap values
  • Evolutionary relationship of svPLA2s
  • Classification?
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