GapMind for catabolism of small carbon sources

 

Protein 3608428 in Dinoroseobacter shibae DFL-12

Annotation: Dshi_1825 phosphate acetyltransferase (RefSeq)

Length: 341 amino acids

Source: Dino 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
4-hydroxybenzoate catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
4-hydroxybenzoate catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
L-lactate catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
L-lactate catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
acetate catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
acetate catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
2'-deoxyinosine catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
2'-deoxyinosine catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
2-deoxy-D-ribose catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
2-deoxy-D-ribose catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
ethanol catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
ethanol catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
L-threonine catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
L-threonine catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
thymidine catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
thymidine catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340
L-tryptophan catabolism pta hi phosphate acetyltransferase (EC 2.3.1.8) (characterized) 56% 97% 334.7
L-tryptophan catabolism pta hi pta: phosphate acetyltransferase (EC 2.3.1.8) (TIGR00651) 100% 340

Sequence Analysis Tools

View 3608428 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

MKPLQMILANAARSDRKIALSEGEDPRVVAAAVQARKQRVARVVLVGDRATIVARLAEAG
GAELDGIDVHDPREDLHRAEMAATYHQLRKHKGVTEADAEAAILNPHVYAALLVRLGHAD
GTLGGATATTAEIVRTAIQVIGTAPGAKMVSSFFLMLLCKDHHEKKGGLVFADAGLVIDP
TAAEMAEIGRASAASLVQLTGETPRVAMLSFSTRGSASGDKVSKVVEATEIFRQLAPEVT
VDGELQFDAAFVPEVATAKAPDSAIGGSANVFVFPNLDTGNIAYKIAQRIGGAVAIGPIL
QGLALPANDLSRGCSAEDVLHMIATTAAQCQDVAPHHAAAR

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