Mining fragmented microbial DNA identifies candidates for anticancer testing

AI Summary

Researchers developed a method to recover biosynthetic information from fragmented metagenomic data. They used it to identify and prioritize natural-product candidates for potential antibacterial and anticancer testing.

Researchers have developed a practical strategy for recovering biosynthetic information from fragmented metagenomic data. Through this work, the researchers identified and prioritized promising natural-product candidates with potential antibacterial or anticancer activity.