Your English writing platform
Discover LudwigSuggestions(3)
Exact(1)
16.3% (50 of 307) of the active chemicals in vitro are false negatives not recognized by the structural alerts.
Similar(59)
The CAESAR tool is based on the structural alerts described by Ashby, Kazius et al. [36].
Structural alerts have been detected in another 413 organic chemicals that are outside the ACF-defined AD of the structural alerts for the identification of potential EA-EDs.
In addition to the structural alerts described above, we also performed substructure searches using other structural alerts published in the literature [11,13].
The structural alerts agree quite well (80% accuracy) with the in vitro classifications (Table 4).
Table 2 lists the structural alerts together with their occurrences in either active or inactive substances.
This was to be expected since the structural alerts were derived from in vitro data.
While most drugs in Table 2 match one of the structural alerts, a very small number of drugs match 2 or 3 different alerts.
From the inactive chemicals in vitro, 22.9% (100 of 437) have the structural alerts and thus are false positives.
At the same time, the structural alerts indicate 100 of 437 (23%) substances without endocrine activity in vitro as false positives.
The structural alerts (Table 2) classify 257 of 307 (84%) substances with endocrine activity in vitro as "true positives".
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