Workflow: understanding and representing complex biological
data TO analysis of that data TO discoveries made through that
analysis
Understand the scope
and complexity of the
data
Identify relationships
In the data
Classify the data
Understand the experiment and
the subsequent curation to
understand the errors
Recognize redundancy
In the data
Explore algorithms
that analyze the data
PHAR201 2012 Course Outline
Understand how
to best represent
the data
Make new biological
discoveries from the
data
But What Does it Mean Pragmatically?
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Details of macromolecular
structure
Consider the experiments used to
derive structure
Ontologies
Sequence-structure-function
relationships
Structure classification
Algorithms to compare structures
Algorithms to define domains
Hot topics: Disorder
Hot topics: Structure-based PPIs
Hot topics: Drug discovery through
structure and systems biology
Hot topics: Evolution studied
through structure
PHAR201 2012 Course Outline