GapMind for catabolism of small carbon sources

 

Finding step PS417_17605 for L-citrulline catabolism in Klebsiella michiganensis M5al

4 candidates for PS417_17605: ABC transporter for L-Citrulline, ATPase component

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
med BWI76_RS20320 histidine/lysine/arginine/ornithine ABC transporter ATP-binding protein HisP ATP-binding cassette domain-containing protein; SubName: Full=Amino acid transporter; SubName: Full=Histidine ABC transporter ATP-binding protein; SubName: Full=Histidine transport system ATP-binding protein (characterized, see rationale) 64% 91% 317.8 histidine transport ATP-binding protein hisP 93% 469.5
med BWI76_RS10585 amino acid ABC transporter ATP-binding protein ATP-binding cassette domain-containing protein; SubName: Full=Amino acid transporter; SubName: Full=Histidine ABC transporter ATP-binding protein; SubName: Full=Histidine transport system ATP-binding protein (characterized, see rationale) 54% 89% 251.5 Glutamine transport ATP-binding protein GlnQ; EC 7.4.2.- 54% 270.4
med BWI76_RS10370 ABC transporter-like protein ATP-binding cassette domain-containing protein; SubName: Full=Amino acid transporter; SubName: Full=Histidine ABC transporter ATP-binding protein; SubName: Full=Histidine transport system ATP-binding protein (characterized, see rationale) 51% 90% 243.8 L-cystine transport system ATP-binding protein YecC; EC 7.4.2.- 55% 258.5
med BWI76_RS07590 glutamate ABC transporter ATP-binding protein ATP-binding cassette domain-containing protein; SubName: Full=Amino acid transporter; SubName: Full=Histidine ABC transporter ATP-binding protein; SubName: Full=Histidine transport system ATP-binding protein (characterized, see rationale) 51% 91% 238.8 Octopine permease ATP-binding protein P aka occP, component of Octopine porter 55% 271.6

Confidence: high confidence medium confidence low confidence
transporter – transporters and PTS systems are shaded because predicting their specificity is particularly challenging.

GapMind searches the predicted proteins for candidates by using ublast (a fast alternative to protein BLAST) to find similarities to characterized proteins or by using HMMer to find similarities to enzyme models (usually from TIGRFams). For alignments to characterized proteins (from ublast), scores of 44 bits correspond to an expectation value (E) of about 0.001.

Also see fitness data for the candidates

Definition of step PS417_17605

Or cluster all characterized PS417_17605 proteins

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

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About GapMind

Each pathway is defined by a set of rules based on individual steps or genes. Candidates for each step are identified by using ublast (a fast alternative to protein BLAST) against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer with enzyme models (usually from TIGRFam). Ublast hits may be split across two different proteins.

A candidate for a step is "high confidence" if either:

where "other" refers to the best ublast hit to a sequence that is not annotated as performing this step (and is not "ignored").

Otherwise, a candidate is "medium confidence" if either:

Other blast hits with at least 50% coverage are "low confidence."

Steps with no high- or medium-confidence candidates may be considered "gaps." For the typical bacterium that can make all 20 amino acids, there are 1-2 gaps in amino acid biosynthesis pathways. For diverse bacteria and archaea that can utilize a carbon source, there is a complete high-confidence catabolic pathway (including a transporter) just 38% of the time, and there is a complete medium-confidence pathway 63% of the time. Gaps may be due to:

GapMind relies on the predicted proteins in the genome and does not search the six-frame translation. In most cases, you can search the six-frame translation by clicking on links to Curated BLAST for each step definition (in the per-step page).

For more information, see the paper from 2019 on GapMind for amino acid biosynthesis, the paper from 2022 on GapMind for carbon sources, or view the source code.

If you notice any errors or omissions in the step descriptions, or any questionable results, please let us know

by Morgan Price, Arkin group, Lawrence Berkeley National Laboratory