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Building Hypotheses and Searching Databases

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Building Hypotheses and Searching Databases Two ways of creating an hypothesis Automatically create a chemical feature-based hypothesis from a set of compounds with ... – PowerPoint PPT presentation

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Title: Building Hypotheses and Searching Databases


1
Building Hypotheses and Searching Databases
2
Two ways of creating an hypothesis
  • Automatically create a chemical feature-based
    hypothesis from a set of compounds with respect
    to a type of activity.
  • Build an hypothesis by assembling substructures
    and chemical functions and specifying the
    geometric constraints between them.

3
Components of an Hypothesis
  • Assemble the components from known data such as
    the atomic coordinates available from X-ray
    crystallographic data.
  • Express the characteristics of the hypothesis as
    a collection of particular chemical substructures
    or a collection of chemical functions such as
    hydrogen bond donors and hydrophilic groups, or a
    combination of substructures and chemical
    functions.

4
Chemical Substructures Available
  • The feature dictionary contains a large library
    of chemical functional groups such as primary,
    secondary, tertiary amines, hydroxyl, carbonyl,
    acridyl, acetoamido, 1-beta-glucopyranosyl, amino
    acids etc, etc.

5
Chemical Functions Available
  • The chemical functions available include HB
    ACCEPTOR, HB ACCEPTOR lipid, HB DONOR,
    HYDROPHOBIC, HYDROPHOBIC aliphatic, HYDROPHOBIC
    aromatic, NEG CHARGE, NEG IONIZABLE, POS CHARGE,
    POS IONIZABLE, RING AROMATIC

6
Chemical Functions Available
  • The distances, angles, and/or torsions between
    items in an hypothesis, the preferred location of
    a chemical feature, and a range of elements per
    atom position may be specified within the
    hypothesis or a substructure of the hypothesis.
  • Excluded volumes may also be specified.

7
Using the hypothesis?
  • Having built the hypothesis databases may then be
    searched with the hypothesis to find compounds
    within the databases that match the hypothesis.

8
Building a Substructure Hypotheses and Searching
Databases
9
Hydrogen count set to anything
10
Specifying atom range per atom position
11
Specifying atom range per atom position
12
Searching a Database with an Hypothesis
  • Once the hypothesis has been designed and built
    it may be used to search a database for compounds
    that contain the defined features.

13
Results of Database search. Default 300 hits.
14
Hit example 1
15
Hit example 1
16
Compound data
17
Compound sort. Handling large datasets.
18
Compound property report.
19
Managing Databases Coping with extremely large
numbers.
  • Are scientists going to manage in the new world
    without an in depth knowledge of mathematics and
    statistics?
  • Are we training scientists to cope with tools
    such as, cluster analysis, discriminate analysis,
    cross validation techniques, neural networks,
    Fourier transformations etc, etc.
  • Do we need courses in the design, building and
    interrogation of databases.

20
Building a Feature Based Hypotheses and Searching
Databases
21
Setting distance constraints.
22
Setting distance constraints.
23
Hybrid hypothesis of chemical functions and
fragments.
24
Using the generic b-adrenergic agonist to search
a database.
25
Databases?
  • Global structural databases e.g. CCSD
  • Structure specific databases.
  • Therapeutic area based databases.
  • Multi-conformer databases.
  • Composite databases that encapsulate the
    information of multi-gigabyte files.
  • QSAR based databases.
  • Commercially available versus problem specific
    databases.
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