Exact(4)
By employing this strategy we are able to screen more than one million peptide candidates generated from various human proteins, from which we identify four highly promising samples, and subsequently their antibacterial activity on five strains as well as cytotoxicity on human myoblasts are tested experimentally.
The result is the most current protein interactome map of the yeast SSU processome to date, from which we identify additional interactions within the subcomplexes and some of the first potential interactions linking the various subcomplexes.
We apply Fourier analysis on each gene, producing the relative amplitude spectrum from which we identify three distinct sections: Treatment-frequency, clock-frequency and noise-frequency components.
While no complete genome sequence is available for either genome with characterized SDMH, N-terminal sequences are available for C. purinolyticum selenium-dependent xanthine dehydrogenase (XDH) subunits, from which we identify putative orthologs in the nearly complete genome of C. difficile.
Similar(56)
We used the reports from the nuclear medicine physicians as the reference from which we identified all the clinically relevant hotspots for which we determined the CNR.
2780 reliable rotation periods were obtained, from which we identified two new super-fast rotators (SFRs), (335433) 2005 UW163 and (40511) 1999 RE88, and 23 candidate SFRs.
Initial computational and in vitro screening identified 11 compounds from which we identified two lead compounds, ZINC33468944 and ZINC32101539, showed potential antitumor activity on MDA-MB-435 cell lines (GI50 < 0.1 μM) and CYP1A1 inhibition of 0.13 and 0.3 μM, respectively.
This process further refined the data into a combined list of 199 unique sequences (potentially derived from 568 genomic loci) that we designated as "novel hairpin-derived small RNAs" from which we identified novel and candidate miRNAs.
In the study, we, therefore, directly applied the microarray data to the protein interaction network to first search for significantly enriched sub-networks as proposed by Chuang et al [10], from which we identified prognostic genes (Method B).
We used the gene model annotation provided in the form of a.gff file distributed by TIGR [8], from which we identified 62,121 gene models (mRNA transcripts), including 13,467 that were TE-related.
At this threshold (and an expected precision of 50%), 249 connections were generated, from which we identified potential pathways targeted by 116 unique drugs (Table 3 and Supplementary Table S11 online).
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