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In order to make the contact dataset comparable across households, we discarded data collected on the first and fifth day and considered only contacts collected over 3 consecutive days, from 6 am to 8 pm, for each household.
An example of this is the HIV protease coulomb contact dataset.
Since the dataset we use only spans two school days, our numerical simulations will unfold over time scales longer than the duration covered by the contact dataset.
The best result was obtained for the DHFR coulomb contact dataset, with almost 90% of active compounds clustered in one leaf and only 5% of decoys from all compounds in the leaf.
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Figure 1e illustrates the relationship between differences in both contact datasets (i) due to underreporting (N 1 ' sm - N 1 sm ), (ii) due to differences in contact definitions (N 3 ' sm ), and relative to the total difference between both datasets (N 3 sm ).
While other contact datasets are available [ 6, 12], and others with health information have been described [ 13], Flunet is unique in providing longitudinal information on contact patterns, occurrence of influenza-like illness (ILI) symptomology, and vaccination status obtained during an epidemic outbreak in the region under observation.
In this work we have presented the results of combining a micro-contact dataset and a population health data and simulation modeling methodology – termed a Groundhog Day system – for the study of the impact of contact dynamics on the spread of H1N1 influenza through a small study population during the 2009 flu season.
The contact tracing dataset consisted of 254 individuals (cases and contacts, of both poultry and humans) who were linked through a network of social contacts.
These artefacts can be ignored, since only inner cells that are not in contact with dataset borders are used for quantification.
The mote derived contact network dataset covers CPRs from 487 (50.0%) individuals of the entire school population, and 320 (32.9%) of them also participated in the base survey, that asked questions about demographics and health.
PDA's analysis on protein-DNA binding modes, including major/minor groove interactions and base/backbone-protein contacts, will also help classification of protein-DNA complex structures and construction of contact specific datasets for protein-DNA interaction studies.
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