GapMind for catabolism of small carbon sources

 

Aligments for a candidate for astA in Pseudomonas fluorescens FW300-N2C3

Align Arginine N-succinyltransferase subunit alpha; ARUAI; EC 2.3.1.109; AOST; AST (uncharacterized)
to candidate AO356_01525 AO356_01525 arginine N-succinyltransferase

Query= curated2:P80357
         (338 letters)



>lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_01525 AO356_01525 arginine
           N-succinyltransferase
          Length = 338

 Score =  380 bits (976), Expect = e-110
 Identities = 192/338 (56%), Positives = 245/338 (72%)

Query: 1   MLVMRPAQAADLPQVQRLAADSPVGVTSLPDDAERLRDKILASEASFAAEVSYNGEESYF 60
           ML +RP Q ADLPQ+QRLA DS VGVTSLPDD  RL +KIL S ASFAA+    G E+YF
Sbjct: 1   MLALRPVQLADLPQLQRLARDSLVGVTSLPDDTRRLEEKILDSCASFAADAQGPGAENYF 60

Query: 61  FVLEDSASGELVGCSAIVASAGFSEPFYSFRNETFVHASRSLSIHNKIHVLSLCHDLTGN 120
           FVL+D  SG LVGCS I++S G +EPFYS RN  F   SR L+I + +  LSLC DL G 
Sbjct: 61  FVLQDLESGRLVGCSEILSSTGCNEPFYSLRNRPFSSESRELNIQHGVPALSLCQDLNGQ 120

Query: 121 SLLTSFYVQRDLVQSVYAELNSRGRLLFMASHPERFADAVVVEIVGYSDEQGESPFWNAV 180
           +LL  F++    V++  +EL SR RL+F+A+HP+RFA++V+ EIVG+S E G+SPFW+A+
Sbjct: 121 TLLRGFHIDAGRVRTPESELLSRARLMFIAAHPQRFAESVITEIVGFSSEDGQSPFWDAI 180

Query: 181 GRNFFDLNYIEAEKLSGLKSRTFLAELMPHYPIYVPLLPDAAQESMGQVHPRAQITFDIL 240
           G++FFDL Y+EAE+L GL+SRTFLAELMP YPIYVP+LP AAQ  +G+VHP  Q  FDIL
Sbjct: 181 GQHFFDLPYVEAERLCGLQSRTFLAELMPQYPIYVPMLPPAAQACIGRVHPDGQEAFDIL 240

Query: 241 MREGFETDNYIDIFDGGPTLHARTSGIRSIAQSRVVPVKIGEAPKSGRPYLVTNGQLQDF 300
            REGFET++Y+DIFDGGPTLHAR + IRSI QSR    +      +   YLV+N  L  +
Sbjct: 241 EREGFETNSYVDIFDGGPTLHARIANIRSITQSRTTTARQSPQIDARGLYLVSNEHLASY 300

Query: 301 RAVVLDLDWAPGKPVALSVEAAEALGVGEGASVRLVAV 338
           RA+V +LD     PVALS     AL + +GA +R++A+
Sbjct: 301 RAIVAELDVGADGPVALSPAMLTALDIQDGARIRVIAL 338


Lambda     K      H
   0.319    0.135    0.387 

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: 355
Number of extensions: 12
Number of successful extensions: 1
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: 338
Length of database: 338
Length adjustment: 28
Effective length of query: 310
Effective length of database: 310
Effective search space:    96100
Effective search space used:    96100
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 (21.8 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