GapMind for catabolism of small carbon sources

 

Aligments for a candidate for fahA in Caulobacter crescentus NA1000

Align fumarylacetoacetate (FAA) hydrolase (EC 3.7.1.2) (characterized)
to candidate CCNA_02614 CCNA_02614 fumarylacetoacetase superfamily protein

Query= reanno::psRCH2:GFF3447
         (327 letters)



>lcl|FitnessBrowser__Caulo:CCNA_02614 CCNA_02614 fumarylacetoacetase
           superfamily protein
          Length = 335

 Score =  399 bits (1025), Expect = e-116
 Identities = 213/338 (63%), Positives = 243/338 (71%), Gaps = 18/338 (5%)

Query: 1   MKLATLNQGRDGVLVVVSRDLAQAVKVPQIAATLQAALDDWNYCKPKLEAVYQRLNDGLE 60
           MKLA+L  GRDG LVVVS DLA       IA TLQAALD+W  C P L      L + LE
Sbjct: 1   MKLASLKGGRDGRLVVVSNDLAWFTDAGTIAPTLQAALDNWERCGPMLAG----LAESLE 56

Query: 61  EGAFA---FDQTACHSPLPRAYHWADGSAYVNHVELVRKARGAEMPESFWHDPLMYQGGA 117
            GA     F +    SPLPRAY W DGSAYVNHV+LVRKARGAEMPESFW DPLMYQG +
Sbjct: 57  HGAVPKERFHEHEALSPLPRAYQWVDGSAYVNHVQLVRKARGAEMPESFWTDPLMYQGAS 116

Query: 118 DAFIPPHSPIRLADEAWGIDLEGELAVITDDVPMGATPAEAASHIQLLMLVNDVSLRNLI 177
           D F+ P  PI LAD +WG DLEGE+AVI DDVP+GAT  EA + I+L+ML NDVSLRNLI
Sbjct: 117 DGFLAPRDPIPLADASWGCDLEGEVAVIVDDVPLGATREEALAAIRLVMLCNDVSLRNLI 176

Query: 178 PGELAKGFGFYQSKPSSSFSPVAVTPDELGETWRDGKVHRPLVSHINGELFGQPDAGTDM 237
           PGELAKGFGF QSKP+S+FSPVAV+PD LGE W+ GK+H  L+  ++G+ FG+ DAG DM
Sbjct: 177 PGELAKGFGFLQSKPASAFSPVAVSPDALGEAWKGGKLHGALLVELDGKDFGRADAGVDM 236

Query: 238 TFNFPTLVAHAARTRPLGAGTIIGSGTVSNYDRSAGS-----------SCLAEKRMLEVV 286
           TF+F TLVAHAA+TR L AGTI+GSGTVSN D   G            SCLAE R +E +
Sbjct: 237 TFDFGTLVAHAAKTRSLCAGTIVGSGTVSNRDADGGPGKPISEGGLGYSCLAEVRTVETL 296

Query: 287 EHGEAKTPFLKFGDRVRIEMFDAAGQSIFGAIDQQVER 324
            HG  KTPFL  GD +RIEM DA G SIFGAI+Q VER
Sbjct: 297 LHGAPKTPFLLGGDTIRIEMKDAKGHSIFGAIEQTVER 334


Lambda     K      H
   0.318    0.135    0.411 

Gapped
Lambda     K      H
   0.267   0.0410    0.140 


Matrix: BLOSUM62
Gap Penalties: Existence: 11, Extension: 1
Number of Sequences: 1
Number of Hits to DB: 395
Number of extensions: 14
Number of successful extensions: 3
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 1
Number of HSP's successfully gapped: 1
Length of query: 327
Length of database: 335
Length adjustment: 28
Effective length of query: 299
Effective length of database: 307
Effective search space:    91793
Effective search space used:    91793
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 49 (23.5 bits)

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