Sentence examples for target databases of from inspiring English sources

Exact(1)

It is of interest to note that numbers from the GVKBIO Med Chem and Target databases of 1,468 human protein-compound links are already approaching this upper limit although, as mentioned in the introduction, this number includes a proportion of non-targets.

Similar(59)

Marketing activities were extremely successful, reaching a target database of 987 rural businesses regularly via newsletters, mailings and presentations at trade association events.

For further investigation of the origin of the segments, we compile a large target database of more than 10,800 strains of influenza A virus that includes all completely sequenced human and avian isolates, in addition to all swine isolates deposited in the Influenza Virus Resource of the NCBI.

At BioAbility, she led projects in regional development strategies, conducted market research, prepared business plans, and created targeted databases of technical information in Microsoft Access.

We used a new module in IPA based on literature and public drug target databases to determine how many of the molecules we identified by gene expression profiling in CAN/IFTA are targeted by known drugs (SD6) (Additional file 6).

According to the miRNA-target database of the miRBase::Sequences program (http://microrna.sanger.ac.uk), all these anti- Tyr miRNAs are directed against a region within the first 300 nucleotides of the Tyr gene transcript (NCBI accession number NM000372).

For each polypeptide sequence, 10 randomized versions were generated and concatenated to the target database for a total of 572 sequences (52 target and 520 decoy).

Cross-link searches were then carried out against a target database consisting of the 52 components of the S. cerevisiae Preinitiation Complex.

In summary, during the last decade, the entire field of docking-based IVS, including the construction of target databases, scoring functions, and post analysis, has been significantly improved by researchers from all over the world.

In every case, over 80% of the query sequences were matched when using RP as a target database, regardless of the threshold used.

The target database consists of 163 proteins that are involved in the cancer process.

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