Scientific:
New experimental studies, hypothesis driven, to elicit specific
information on which to base the understanding of biological systems.
Databases for protein dynamics, biochemical and physiological systems,
cell biology, and organism level information.
Models integrating the information on proteins, cells and systems and
databases of running, documented, validated models.
Ontologies: explicit naming systems for anatomy, physiological data,
chemical and physical terms
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Sociological:
Free exchange of scientific information.
Open source: information on models, algorithms, hypotheses, tools,
data.
Standards: ontologies, databases for structures, experimental
observations, models in archival and reproducible operational form,
Sharing: Total honesty, revealing everything, and
transparency.
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Political:
Support for integrated development and translation into
applications
Establish and support databases. (structure, material and chemical
properties, and experimental data on physiological functions, and the models to
capture the essence of the data.
Support for multi-institutional collaborations including industry
Emphasis on reproducibility in science in general and modeling in
particular.
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