mSystemsBioinformaticsPeer-reviewed journal article
GapMind: Automated annotation of amino acid biosynthesis
Abstract
GapMind is a web-based tool for annotating amino acid biosynthesis in bacteria and archaea (http://papers.genomics.lbl/gov/gaps). GapMind incorporates many variant pathways and 130 different reactions, and it analyzes a genome in just 15 seconds. To avoid error-prone \"transitive\" annotations, GapMind relies primarily on a database of experimentally-characterized proteins. GapMind correctly handles fusion proteins and split proteins, which often cause errors for \"best hit\" approaches. To improve GapMinds coverage, we examined genetic data from 35 bacteria that grow in minimal media and we filled many gaps in amino acid biosynthesis pathways. For example, we identified additional genes for arginine synthesis with succinylated intermediates in Bacteroides thetaiotaomicron and we propose that Dyella japonica synthesizes tyrosine from phenylalanine. Nevertheless, for many bacteria and archaea that grow in minimal media, genes for some steps still cannot be identified. If a potential gap in the genome of interest is also a gap in a related microbe that can grow in minimal media, GapMind marks the gap as \"known.\"
- organism: bacteria (other)
- assay: protein sequence
- research focus: database / resource
- approach: statistical model
- Citations
- 74
- FWCI
- 2.76
- Field percentile
- top 8%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Novel enzymes for amino acid biosynthesis in diverse bacteria and archaea: GapMind 2026
Morgan N. Price, Valentine V. Trotter, … Adam P. Arkin·bioRxiv·Oct 14, 2024
- GapMind for Carbon Sources: Automatedannotations of catabolic pathways
M. N. Price, A. M. Deutschbauer, A. P. Arkin·bioRxiv·Nov 2, 2021
- Filling Gaps in Bacterial Amino Acid Biosynthesis Pathways with High-throughput Genetics
M. Price, G. M. Zane, … A. P. Arkin·bioRxiv·Sep 23, 2017
- Investigating the unknown functions in the minimal bacterial genome reveals many transporter proteins
Magdalena Antczak, Martin Michaelis, Mark N. Wass·bioRxiv·Jul 31, 2018
- NICEgame: A workflow for annotating the knowledge gaps in metabolic reconstructions, using known and hypothetical reactions
Evangelia Vayena, Anush Chiappino-Pepe, … Vassily Hatzimanikatis A·Proceedings of the National Academy of SciencesPeer-reviewed·Nov 7, 2022
- ProbAnnoWeb and ProbAnnoPy: probabilistic annotation and gap-filling of metabolic reconstructions
Brendan King, Terry Farrah, … Nathan D. Price·BioinformaticsPeer-reviewed·Dec 15, 2017