Your English writing platform
Discover LudwigSuggestions(1)
Exact(8)
Identical target ranking produced 864 groups encompassing 3,026 out of the total 5,778 predictions, the other 2,752 remaining ungrouped.
Integrating our DAF-16 target ranking with ChIP-Seq data from the modENCODE project [ 9] showed that PQM-1 binding is strongly associated with both proximal upstream DAE occurrence and responsiveness to DAF-16.
Conversely, a click on the links that are given in the 'Position assembled precursors', 'Similarity assembled precursors' and 'Target ranking group' columns leads to tables containing all the predictions matching the selected ranking group.
We further investigated target ranking by determining the number of molecular frameworks and scaffolds.
IJG performed the miRNA target ranking and Gene Ontology analysis.
Here, we describe a tool (antibacTR: antibacterial Target Ranking) to support the initial stages of selection of potential antibacterial-drug targets, developed within the context of two such initiatives.
Similar(52)
Proportions of the target ranked 1st, 2nd, and 3rd were calculated for each participant and the means are reported in Table 1.
This has the effect of pushing each of them higher in the compounds-per-target ranking.
Table 5 Analysis of the reasons for the 9 targets ranking failure Target RMSD of the best best-pose RMSD of the best top-rank pose Reasons for incorrect ranking Due to the scoring functions?
A second non-target, ranked at 261, is Albumin, ALB [Swiss-Prot P02768].
Critically, we were interested in the conditional probability of targets ranked 2nd given they were not ranked 1st.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com