Back

Improving the annotation of amino acid biosynthesis pathways: GapMind 2024

Price, M. N.; Shiver, A. L.; Day, L. A.; Bejar, M. T.; Lesea, H. P.; Owens, T. K.; Deutschbauer, A.; Arkin, A. P.

2024-10-14 microbiology
10.1101/2024.10.14.618325 bioRxiv
Show abstract

GapMind is an automated web-based tool for annotating amino acid biosynthesis pathways in bacterial and archaeal genomes. We updated GapMind to include recently identified enzymes, including new enzymes that we identified by using high-throughput genetics and comparative genomics. Across 206 prokaryotes that have high-quality genomes and are reported to grow in minimal media, the average number of unexplained missing steps or gaps dropped from 1.4 per genome to 0.8 per genome. The majority of the remaining gaps involve the gain or loss of phosphate groups.

Matching journals

The top 9 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.