GapMind for Amino acid biosynthesis

 

Aligments for a candidate for argA in Azospirillum brasilense Sp245

Align amino-acid N-acetyltransferase (EC 2.3.1.1); acetylglutamate kinase (EC 2.7.2.8) (characterized)
to candidate AZOBR_RS03285 AZOBR_RS03285 acetylglutamate kinase

Query= BRENDA::Q0ASS9
         (441 letters)



>lcl|FitnessBrowser__azobra:AZOBR_RS03285 AZOBR_RS03285
           acetylglutamate kinase
          Length = 299

 Score =  117 bits (293), Expect = 5e-31
 Identities = 95/297 (31%), Positives = 143/297 (48%), Gaps = 30/297 (10%)

Query: 16  LSHMRDGKEIREYLHRFSGIDQERFAVIKVGGAVIQDD--LPGLASALAFLQTVGLTPVV 73
           L+  R   E   Y+ R++G    R  VIK GG  + DD      A  +  L+ VG+ PVV
Sbjct: 10  LAKARTLSEALPYMRRYAG----RTFVIKYGGHAMGDDSLAEKFARDIVLLKQVGINPVV 65

Query: 74  VHGGGPQLDAALEAADIPTERVDGLRVTRDEAIPIIRDTLT-QANLALVDAIRDAGGRAA 132
           VHGGGPQ+   L+   I +  +DGLRVT  E + ++   L    N  +V AI +AGGRA 
Sbjct: 66  VHGGGPQIGQMLQRLAIKSSFIDGLRVTDKETVEVVEMVLAGSINKQIVAAINNAGGRAV 125

Query: 133 AVPRGVFEADIVDADK-----------------LGRVGEPRHIHLDLVGSAARAGQAAIL 175
            +     +  ++ A K                 LG VGEP  ++  ++ S A++    ++
Sbjct: 126 GLSGK--DGSLITARKLRRTQRDPDSNIEKVLDLGFVGEPYQVNPQIITSLAQSDIIPVI 183

Query: 176 ACLGETPDGTLVNINADVAVRALVHALQPYKVVFLTGTGGLLDEDGDILSSINLATDFGD 235
           A +G   +G   NINAD A  A+  AL   +   LT   G+LD++ +++  ++L  D   
Sbjct: 184 APIGFDRNGDTYNINADTAAGAVASALGATRFFLLTDVAGVLDKNKELVPRMSL--DQAR 241

Query: 236 LMQAD-WVNGGMRLKLEE-IKRLLDDLPLSSSVSITRPSELARELFTHAGSGTLIRR 290
              AD    GGM  K+E  I  +   +  +  +    P  L  E+FT  G+GTLI R
Sbjct: 242 AAIADGTATGGMIPKIETCIDAVEQGVDAAVILDGRVPHALLLEIFTEGGAGTLIGR 298


Lambda     K      H
   0.320    0.139    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: 294
Number of extensions: 16
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: 441
Length of database: 299
Length adjustment: 29
Effective length of query: 412
Effective length of database: 270
Effective search space:   111240
Effective search space used:   111240
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 Aug 03 2021. The underlying query database was built on Aug 03 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, or see changes to Amino acid biosynthesis since the publication.

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