GapMind for catabolism of small carbon sources

 

Protein PP_1011 in Pseudomonas putida KT2440

Annotation: PP_1011 glucokinase

Length: 319 amino acids

Source: Putida in FitnessBrowser

Candidate for 9 steps in catabolism of small carbon sources

Pathway Step Score Similar to Id. Cov. Bits Other hit Other id. Other bits
D-cellobiose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
D-cellobiose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
D-glucose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
D-glucose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
lactose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
lactose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
D-maltose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
D-maltose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
sucrose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
sucrose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
trehalose catabolism glk hi Glucokinase (EC 2.7.1.2) (characterized) 69% 100% 449.9
trehalose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 261.5
D-glucosamine (chitosamine) catabolism glc-kinase med glucokinase (EC 2.7.1.1; EC 2.7.1.2; EC 2.7.1.8) (characterized) 41% 99% 234.2 Glucokinase (EC 2.7.1.2) 69% 449.9
N-acetyl-D-glucosamine catabolism nagK lo Glucose kinase (characterized, see rationale) 33% 93% 147.9 Glucokinase (EC 2.7.1.2) 69% 449.9
D-glucosamine (chitosamine) catabolism nagK lo Glucose kinase (characterized, see rationale) 33% 93% 147.9 Glucokinase (EC 2.7.1.2) 69% 449.9

Sequence Analysis Tools

View PP_1011 at FitnessBrowser

PaperBLAST (search for papers about homologs of this protein)

Search CDD (the Conserved Domains Database, which includes COG and superfam)

Predict protein localization: PSORTb (Gram negative bacteria)

Predict transmembrane helices and signal peptides: Phobius

Check the SEED with FIGfam search

Fitness BLAST: loading...

Sequence

MKHLLVGDIGGTNARFALWRDNQLHEVNVFATVDYTNPEQAIEAYLESQGIARGGLAAVC
LAVAGPVDGDEFRFTNNHWRLSRTAFCKTLQVERLLLINDFTAMALGMTRLREGEFREVC
PGQADPSRPALVIGPGTGLGVGSLLRLGEQLWKALPGEGGHVDLPVGNAREAAIHQQIHS
QIGHVSAEAVLSGGGLVRLYQAICALDGDTPRHKTPAHITDAALGGEPRALAVVEQFCRF
LGRVAGNNVLTLGARGGVYIVGGVIPRFAELFLRSGFAASFADKGCMSGYFTGVPVWLVT
AEFSGLEGAGVALQQALDH

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