GapMind for catabolism of small carbon sources

 

Finding step natA for L-histidine catabolism in Herbaspirillum aquaticum IEH 4430

4 candidates for natA: L-histidine ABC transporter, ATPase component 1 (NatA)

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
med CEJ45_RS01010 ABC transporter ATP-binding protein NatA aka BRAF aka SLR0467, component of Leucine/proline/alanine/serine/glycine (and possibly histidine) porter, NatABCDE (characterized) 44% 93% 210.7 ABC transporter ATP-binding protein-branched chain amino acid transport, component of The branched chain hydrophobic amino acid transporter, LivJFGHM 50% 246.9
med CEJ45_RS05575 branched-chain amino acid ABC transporter ATP-binding protein/permease NatA aka BRAF aka SLR0467, component of Leucine/proline/alanine/serine/glycine (and possibly histidine) porter, NatABCDE (characterized) 41% 99% 203 High-affinity branched-chain amino acid transport ATP-binding protein BraF, component of Branched chain amino acid uptake transporter. Transports alanine 48% 225.3
med CEJ45_RS04960 high-affinity branched-chain amino acid ABC transporter ATP-binding protein LivG NatA aka BRAF aka SLR0467, component of Leucine/proline/alanine/serine/glycine (and possibly histidine) porter, NatABCDE (characterized) 41% 94% 199.1 High-affinity branched-chain amino acid transport ATP-binding protein BraF, component of Branched chain amino acid uptake transporter. Transports alanine 65% 344.0
lo CEJ45_RS22550 ABC transporter ATP-binding protein NatA aka BRAF aka SLR0467, component of Leucine/proline/alanine/serine/glycine (and possibly histidine) porter, NatABCDE (characterized) 40% 94% 192.2 ABC transporter ATP-binding protein-branched chain amino acid transport, component of The branched chain hydrophobic amino acid transporter, LivJFGHM 49% 238.8

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.

Definition of step natA

Or cluster all characterized natA proteins

This GapMind analysis is from Sep 24 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:

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