GapMind for catabolism of small carbon sources

 

Aligments for a candidate for astA in Marinobacter adhaerens HP15

Align Arginine N-succinyltransferase (EC 2.3.1.109) (characterized)
to candidate GFF3098 HP15_3041 arginine N-succinyltransferase, alpha chain

Query= reanno::Marino:GFF3098
         (339 letters)



>FitnessBrowser__Marino:GFF3098
          Length = 339

 Score =  683 bits (1762), Expect = 0.0
 Identities = 339/339 (100%), Positives = 339/339 (100%)

Query: 1   MWLVRPAEPDDLDQILAIAGTQCARLSSTLPKQGDALAYKIEQSLASFAGRISAEDDPPR 60
           MWLVRPAEPDDLDQILAIAGTQCARLSSTLPKQGDALAYKIEQSLASFAGRISAEDDPPR
Sbjct: 1   MWLVRPAEPDDLDQILAIAGTQCARLSSTLPKQGDALAYKIEQSLASFAGRISAEDDPPR 60

Query: 61  FLFVLEDTETGDIAGTAGIDAHAGNGQPFYSYRRDALIHASHELGVSRRVEVLYPSHSLT 120
           FLFVLEDTETGDIAGTAGIDAHAGNGQPFYSYRRDALIHASHELGVSRRVEVLYPSHSLT
Sbjct: 61  FLFVLEDTETGDIAGTAGIDAHAGNGQPFYSYRRDALIHASHELGVSRRVEVLYPSHSLT 120

Query: 121 DVSLLCSFSIRPELQGTDAFELLSRARILFIADHREWFTQRMAVEIQGVQLEDGSVPFWD 180
           DVSLLCSFSIRPELQGTDAFELLSRARILFIADHREWFTQRMAVEIQGVQLEDGSVPFWD
Sbjct: 121 DVSLLCSFSIRPELQGTDAFELLSRARILFIADHREWFTQRMAVEIQGVQLEDGSVPFWD 180

Query: 181 SLGRHFFDMDFETADQYSGQLSKTFIAELMPPNPIYVTLLSEAAQKAMGQPHQITVPNFE 240
           SLGRHFFDMDFETADQYSGQLSKTFIAELMPPNPIYVTLLSEAAQKAMGQPHQITVPNFE
Sbjct: 181 SLGRHFFDMDFETADQYSGQLSKTFIAELMPPNPIYVTLLSEAAQKAMGQPHQITVPNFE 240

Query: 241 LLQREGFQPGNYLDIFDAGPVLEARTDSLKTLVTSHPKELHGTNEDTGETCLIAAGEGEQ 300
           LLQREGFQPGNYLDIFDAGPVLEARTDSLKTLVTSHPKELHGTNEDTGETCLIAAGEGEQ
Sbjct: 241 LLQREGFQPGNYLDIFDAGPVLEARTDSLKTLVTSHPKELHGTNEDTGETCLIAAGEGEQ 300

Query: 301 FRCTLTPVAESLDDKLKVPVSTWNTLNRTAGDRVRIAPL 339
           FRCTLTPVAESLDDKLKVPVSTWNTLNRTAGDRVRIAPL
Sbjct: 301 FRCTLTPVAESLDDKLKVPVSTWNTLNRTAGDRVRIAPL 339


Lambda     K      H
   0.319    0.135    0.403 

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: 527
Number of extensions: 5
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: 339
Length of database: 339
Length adjustment: 28
Effective length of query: 311
Effective length of database: 311
Effective search space:    96721
Effective search space used:    96721
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