GapMind for catabolism of small carbon sources

 

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

Align arginine N-succinyltransferase (EC 2.3.1.109) (characterized)
to candidate AO356_01525 AO356_01525 arginine N-succinyltransferase

Query= BRENDA::P80358
         (340 letters)



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

 Score =  219 bits (557), Expect = 1e-61
 Identities = 124/337 (36%), Positives = 188/337 (55%), Gaps = 3/337 (0%)

Query: 1   MIVRPVTSADLPALIELARSTGTGLTTLPANEQRLQHRVSWAEKAFRGEAER-GDADYLF 59
           + +RPV  ADLP L  LAR +  G+T+LP + +RL+ ++  +  +F  +A+  G  +Y F
Sbjct: 2   LALRPVQLADLPQLQRLARDSLVGVTSLPDDTRRLEEKILDSCASFAADAQGPGAENYFF 61

Query: 60  VLED-DAGKVVGISAIAGAVGLREPWYNYRVGLTVSASQELNIHREIPTLFLANDLTGNS 118
           VL+D ++G++VG S I  + G  EP+Y+ R     S S+ELNI   +P L L  DL G +
Sbjct: 62  VLQDLESGRLVGCSEILSSTGCNEPFYSLRNRPFSSESRELNIQHGVPALSLCQDLNGQT 121

Query: 119 ELCSLFLHADHRSGLNGKLLSRARFLFIAEFRHLFGDKLIAEMRGMSDEEGRSPFWESLG 178
            L    + A        +LLSRAR +FIA     F + +I E+ G S E+G+SPFW+++G
Sbjct: 122 LLRGFHIDAGRVRTPESELLSRARLMFIAAHPQRFAESVITEIVGFSSEDGQSPFWDAIG 181

Query: 179 RHFFKMEFSQADYLTGVGNKAFIAELMPKFPLYTCFLSEEARGVIGRVHPNTEPALAMLK 238
           +HFF + + +A+ L G+ ++ F+AELMP++P+Y   L   A+  IGRVHP+ + A  +L+
Sbjct: 182 QHFFDLPYVEAERLCGLQSRTFLAELMPQYPIYVPMLPPAAQACIGRVHPDGQEAFDILE 241

Query: 239 AEGFSYQGYVDIFDAGPAIEAETDKIRAIAESQNLVLAVGTPGDDAEPYLIHNRKREDCR 298
            EGF    YVDIFD GP + A    IR+I +S+          D    YL+ N      R
Sbjct: 242 REGFETNSYVDIFDGGPTLHARIANIRSITQSRTTTARQSPQIDARGLYLVSNEHLASYR 301

Query: 299 ITAAPARAAA-GTLVVDPLTAKRLRLSAGASVRAVPL 334
              A     A G + + P     L +  GA +R + L
Sbjct: 302 AIVAELDVGADGPVALSPAMLTALDIQDGARIRVIAL 338


Lambda     K      H
   0.320    0.136    0.398 

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: 263
Number of extensions: 12
Number of successful extensions: 2
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: 340
Length of database: 338
Length adjustment: 28
Effective length of query: 312
Effective length of database: 310
Effective search space:    96720
Effective search space used:    96720
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