GapMind for catabolism of small carbon sources

 

Protein Ga0059261_0355 in Sphingomonas koreensis DSMZ 15582

Annotation: Ga0059261_0355 glucokinase, proteobacterial type

Length: 323 amino acids

Source: Korea 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 med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
D-cellobiose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
D-glucose catabolism glk med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
D-glucose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
lactose catabolism glk med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
lactose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
D-maltose catabolism glk med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
D-maltose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
sucrose catabolism glk med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
sucrose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
trehalose catabolism glk med Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized) 62% 99% 407.9
trehalose catabolism glk hi glk: glucokinase (EC 2.7.1.2) (TIGR00749) 100% 240
N-acetyl-D-glucosamine catabolism nagK med Glucose kinase (characterized, see rationale) 34% 93% 172.6 glucokinase (EC 2.7.1.1; EC 2.7.1.2; EC 2.7.1.8) 34% 164.5
D-glucosamine (chitosamine) catabolism nagK med Glucose kinase (characterized, see rationale) 34% 93% 172.6 glucokinase (EC 2.7.1.1; EC 2.7.1.2; EC 2.7.1.8) 34% 164.5
D-glucosamine (chitosamine) catabolism glc-kinase med glucokinase (EC 2.7.1.1; EC 2.7.1.2; EC 2.7.1.8) (characterized) 34% 96% 164.5 Glucokinase (EC 2.7.1.2) 34% 154.5

Sequence Analysis Tools

View Ga0059261_0355 at FitnessBrowser

PaperBLAST (search for papers about homologs of this protein)

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

Search PFam (including for weak hits, up to E = 1)

Predict protein localization: PSORTb (Gram negative bacteria)

Predict transmembrane helices: TMHMM

Check the SEED with FIGfam search

Fitness BLAST: loading...

Sequence

VEVVAVDIGGTHARFAIAEVEGGRVVSIGEPVTQKTAEHGSFQLAWQASARALGREMPRA
AAIAIASPINDELIKLTNNPWIIRPPLIKERLEVDSYSLINDFGAVGHAVAQLPSEHFLH
ICGPDAPFAEKGAITVCGPGTGLGVAQVFRTGPLSYHVISTEGGHMDFAPLDGIEDSIVK
RLRSTYTRVSAERIVAGPGIVPIYETLAEIEGKRTHRLNDKEIWTLAFEGKDSLAMAALD
RFCLSLGAVAGDLALAHGPTGVVIAGGLGLKLKDHLVNSGFGQRFIAKGRFQALMSSIPV
KLITHPQPGLYGAAAAYAQEHTQ

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 against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer. 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. 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, 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