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The database enables identification of experimentally observed molecular substructures that exhibit bioisosteric characteristics.
As our research spans a wide variety of scientific fields, the database enables registration of mixtures of compounds, enantiomers, tautomers, and compounds with unknown stereochemistries.
The database enables analysts to follow trends in the composition of the non-domestic stock, and its fuel and energy use.
The database enables online single or multiple loci assignments using polyphasic sequence alignment algorithms.
The database enables more efficient program management.
The database enables a two-step or multiple step process of 'drilling' down for insight.
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Moreover, when the attacker is looking for a particular person in the database, enabling him to reduce the number of potential corresponding users to a small number is sometimes already a lot of information, and too big a risk to release the database publicly.
The use of the database enabled us to identify different cell populations among cell mixtures.
The size of the database enabled very detailed survival analyses by age, sex, morphological subgroups and subsites.
Third, the size of the database enabled the selection of large samples even for our smaller group, BC in younger women.
Queries conducted within the database enabled the identification of genes putatively involved in immune and inflammatory reactions which had not been previously evidenced in the vent mussel.
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CEO of Professional Science Editing for Scientists @ prosciediting.com