For example, searching for bindability in our database could help deciding the suitability of a protein target, or alternatively a researcher may be interested in looking for specific protein functions and find all the metadata combined with bindability and location of pockets for selection of the most promising targets.
For example, in a database, only newly entered fields are backed up.
Evidently, for target loop sequences with no suitable structural example in the database, no prediction can be made.
For example, in CDD database, COG0004 is related to Pfam00909, which is a signature of IPR001905; COG0004 is then mapped to IPR001905.
When the relationships between concepts are structured, for example in a database, it becomes trivial to produce such lists through dynamic queries.
For example, in the database, there are 19 miRNAs and 41 miRNAs for Brachypodium and wheat, respectively, while there are 375 miRNAs in the database for M. truncatula (miRBase 17).
For example, in a database study of residents in the UK, it was found that ambient air pollution was not associated with IBD, but exposure to SO2 and NO2 may increase the risk of early onset UC and CD, respectively.
For example, in a database that included 50 items that met the criteria to be considered health deficits, a person in whom 10 such deficits were present would have an FI of 10 out of 50, or 0.20.
For example, in CYC2008, a database of curated protein complexes of yeast, 42% of the complexes are heterodimeric, i.e., a complex consisting of two different proteins.
