Protein Crystallization Database: Database Design - PowerPoint PPT Presentation

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Protein Crystallization Database: Database Design

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Protein Crystallization Database: Database Design. Douglas S. Kerr & Vadim Cherezov ... Records of crystallization setups. Records of observations. July 15, 2002 ... – PowerPoint PPT presentation

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Title: Protein Crystallization Database: Database Design


1
Protein Crystallization Database Database
Design
  • Douglas S. Kerr Vadim Cherezov
  • July 15, 2002

2
Protein Crystallization
  • Screening multidimensional space
  • Variables
  • - Temperature
  • - Precipitants (100)
  • In practice, combinations of no more than 5
    variables
  • limits on concentrations

3
Crystallization Database Structure
  • Inventories
  • Records of crystallization setups
  • Records of observations

4
Crystallization Database features
  • Keeps track of everything
  • Flexible (not limited to only one method)
  • Scoring scheme for analysis
  • Power to predict

5
The basic idea
  • A plate with multiple cells is used.
  • One protein mixture is created for the plate
    containing
  • Protein(s)
  • Lipid(s)
  • Buffer(s)
  • Detergent(s)
  • Precipitant(s)

6
The basic idea, continued
  • A different screen is used in each cell.
  • Observations are made over time.
  • At each time, each cell is given a score
    referring to the quality of any possible crystals
    formed.

7
Stocks of the Various Materials
  • Stocks may be Purchased or Created in the Lab.
  • Source of Purchased Stock is recorded.
  • Experimentor of Created Stock is recorded.
  • The composition of each stock is recorded.

8
Stock Types
  • Proteins
  • Lipids (Natural Synthetic)
  • Buffers
  • Detergents
  • Precipitants
  • Chemicals (Used to create)
  • Buffers
  • Precipitants
  • Protein Mixtures
  • Screens

9
The Database Design8 Subschemata
  • 7 Stocks
  • Chemicals and Precipitants
  • Detergents
  • Buffers
  • Lipids
  • Proteins
  • Screens
  • Protein Mixtures
  • Observations

10
Chemical and Precipitant Stocks
  • Chemical Stocks are Purchased
  • Precipitant Stocks
  • Created from 1 or more Chemical Stocks.
  • Purchased.
  • The Source of any Purchased Stocked is recorded.
  • The Experimentor creating any Created Stocked is
    recorded.

11
Chemical and Precipitant Stocks
For postscript and PDF versions of this and the
other subschemata, see http//www.cis.ohio-state.e
du/doug/Lipidat/Crystallization/.
Both Created and Purchased
Chemical Stocks
Dry (T/F)
H20/D2O
Chemical Names
12
One-to-Many RelationshipChemicals to
Chemical_Stocks
13
Buffer Stocks
  • 1 Main Reagent
  • 0 (?) or 1 Titrant
  • 0 or more Detergents
  • 0 or more Chemical Additives

14
Buffer Stocks
Many-to-Many Relationship The same Detergent
Stock may be used in several Buffers. A buffer
Stock may contain several detergents.
Both the Main Reagent and Titrant are Chemicals.
15
Many-to-Many RelationshipChemicals to
Buffer_Stocks_purchased
1
?
1
?
?
1
16
Detergent Stocks
  • Purchased
  • Created
  • 1 or more Purchased Detergent Stocks

17
Detergent Stocks
May combine several Purchased Detergents to
create a Detergent Stock
18
Lipid Stocks
  • 1 Synthetic Lipid
  • Or 1 Natural Lipid

19
Lipid Stocks
Synthetic Lipid
Natural Lipid
20
Protein Stocks
  • 1 Protein
  • Identified by its
  • Source Organism
  • Organism Type and
  • Extract Type
  • 0 or more Detergents
  • 1 or more Lipids
  • 0 or more Additives
  • 0 or 1 Buffer

21
Protein Stocks
Created
The Protein
Purchased
22
Protein Mixtures
  • Composition
  • 1 Protein Stock
  • May already contain Lipid(s)
  • 1 or more Lipids
  • 1 or more Detergents
  • 1 Buffer, in addition to one in the Protein Stock
  • Crystallization Method(s)

23
Protein Mixtures
24
Screen Stocks
  • 1 or more Detergents
  • 1 Buffer
  • 1 or more Precipitants

25
Screen Stocks
Created
Purchased
26
Observations
  • Collected by Plate.
  • 1 Protein Mixture
  • 1 Scoring Scheme
  • Different Schemes may be used with different
    plates.
  • Several Wells on a Plate.
  • Different Screen and/or Screen Concentration for
    each Well.
  • Observations repeated over time, giving a Score
    each time.
  • Different Scoring Schemes may exist.

27
Observations
Each Plate has many Wells. Each Well has many
Observations.
1 Experimentor sets up the Plate. Different
Experimentors may observe the plate.
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