Back

Identification of anthelmintic activity in a small chemical library through random screening using the worm Caenorhabditis elegans as a model helminth

Gajera, G.; Kothari, V.

2024-08-02 microbiology
10.1101/2024.08.02.606330 bioRxiv
Show abstract

Parasitic helminths contribute notably to the global infection burden, particularly in developing and underdeveloped nations. Anthelmintic agents currently available for therapeutic purpose are not many in number, and owing to development of resistance against them among parasitic worms, their utility spectrum is also shrinking. Hence, there is an urgent need for discovery of new anthelmintic compounds. This study subjected a small library of 181 compounds to a random screening for identification of compounds with anthelmintic activity against the model worm Caenorhabditis elegans. This screening effort identified 50 compounds capable of killing 100% of the worm population in less than 24 hours, at 25-50 ppm. Further investigation on these hits is warranted to identify potential anthelmintic leads.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.