GapMind for Amino acid biosynthesis

 

Aligments for a candidate for argB in Azospirillum brasilense Sp245

Align acetylglutamate kinase (EC 2.7.2.8) (characterized)
to candidate AZOBR_RS03285 AZOBR_RS03285 acetylglutamate kinase

Query= BRENDA::Q9HTN2
         (301 letters)



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

 Score =  325 bits (834), Expect = 6e-94
 Identities = 163/292 (55%), Positives = 215/292 (73%)

Query: 4   SRDDAAQVAKVLSEALPYIRRFVGKTLVIKYGGNAMESEELKAGFARDVVLMKAVGINPV 63
           +RD+    A+ LSEALPY+RR+ G+T VIKYGG+AM  + L   FARD+VL+K VGINPV
Sbjct: 5   TRDEWLAKARTLSEALPYMRRYAGRTFVIKYGGHAMGDDSLAEKFARDIVLLKQVGINPV 64

Query: 64  VVHGGGPQIGDLLKRLSIESHFIDGMRVTDAATMDVVEMVLGGQVNKDIVNLINRHGGSA 123
           VVHGGGPQIG +L+RL+I+S FIDG+RVTD  T++VVEMVL G +NK IV  IN  GG A
Sbjct: 65  VVHGGGPQIGQMLQRLAIKSSFIDGLRVTDKETVEVVEMVLAGSINKQIVAAINNAGGRA 124

Query: 124 IGLTGKDAELIRAKKLTVTRQTPEMTKPEIIDIGHVGEVTGVNVGLLNMLVKGDFIPVIA 183
           +GL+GKD  LI A+KL  T++ P+    +++D+G VGE   VN  ++  L + D IPVIA
Sbjct: 125 VGLSGKDGSLITARKLRRTQRDPDSNIEKVLDLGFVGEPYQVNPQIITSLAQSDIIPVIA 184

Query: 184 PIGVGSNGESYNINADLVAGKVAEALKAEKLMLLTNIAGLMDKQGQVLTGLSTEQVNELI 243
           PIG   NG++YNINAD  AG VA AL A +  LLT++AG++DK  +++  +S +Q    I
Sbjct: 185 PIGFDRNGDTYNINADTAAGAVASALGATRFFLLTDVAGVLDKNKELVPRMSLDQARAAI 244

Query: 244 ADGTIYGGMLPKIRCALEAVQGGVTSAHIIDGRVPNAVLLEIFTDSGVGTLI 295
           ADGT  GGM+PKI   ++AV+ GV +A I+DGRVP+A+LLEIFT+ G GTLI
Sbjct: 245 ADGTATGGMIPKIETCIDAVEQGVDAAVILDGRVPHALLLEIFTEGGAGTLI 296


Lambda     K      H
   0.318    0.138    0.381 

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: 281
Number of extensions: 10
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: 301
Length of database: 299
Length adjustment: 27
Effective length of query: 274
Effective length of database: 272
Effective search space:    74528
Effective search space used:    74528
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 48 (23.1 bits)

Align candidate AZOBR_RS03285 AZOBR_RS03285 (acetylglutamate kinase)
to HMM TIGR00761 (argB: acetylglutamate kinase (EC 2.7.2.8))

# hmmsearch :: search profile(s) against a sequence database
# HMMER 3.3.1 (Jul 2020); http://hmmer.org/
# Copyright (C) 2020 Howard Hughes Medical Institute.
# Freely distributed under the BSD open source license.
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# query HMM file:                  ../tmp/path.aa/TIGR00761.hmm
# target sequence database:        /tmp/gapView.14256.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00761  [M=231]
Accession:   TIGR00761
Description: argB: acetylglutamate kinase
Scores for complete sequences (score includes all domains):
   --- full sequence ---   --- best 1 domain ---    -#dom-
    E-value  score  bias    E-value  score  bias    exp  N  Sequence                                 Description
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
    6.3e-84  267.1   1.5    7.3e-84  266.9   1.5    1.0  1  lcl|FitnessBrowser__azobra:AZOBR_RS03285  AZOBR_RS03285 acetylglutamate ki


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__azobra:AZOBR_RS03285  AZOBR_RS03285 acetylglutamate kinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  266.9   1.5   7.3e-84   7.3e-84       1     231 []      30     273 ..      30     273 .. 0.98

  Alignments for each domain:
  == domain 1  score: 266.9 bits;  conditional E-value: 7.3e-84
                                 TIGR00761   1 tiViKiGGaais..elleelakdiaklrkegiklvivHGGgpeinelleklgievefvnglRvTdketl 67 
                                               t ViK+GG+a+    l e++a+di+ l+++gi++v+vHGGgp+i ++l++l+i+  f++glRvTdket+
  lcl|FitnessBrowser__azobra:AZOBR_RS03285  30 TFVIKYGGHAMGddSLAEKFARDIVLLKQVGINPVVVHGGGPQIGQMLQRLAIKSSFIDGLRVTDKETV 98 
                                               57*********88889***************************************************** PP

                                 TIGR00761  68 evvemvligkvnkelvallekhgikavGltgkDgqlltaekldke............dlgyvGeikkvn 124
                                               evvemvl+g++nk++va+++++g +avGl+gkDg+l+ta+kl +             dlg+vGe  +vn
  lcl|FitnessBrowser__azobra:AZOBR_RS03285  99 EVVEMVLAGSINKQIVAAINNAGGRAVGLSGKDGSLITARKLRRTqrdpdsniekvlDLGFVGEPYQVN 167
                                               ****************************************8887778999******************* PP

                                 TIGR00761 125 kelleallkagiipviaslaldeegqllNvnaDtaAaelAaaleAekLvlLtdvaGilegdkkslisel 193
                                               ++++ +l +++iipvia++++d +g+++N+naDtaA+++A+al+A +  lLtdvaG+l++ +k+l+ ++
  lcl|FitnessBrowser__azobra:AZOBR_RS03285 168 PQIITSLAQSDIIPVIAPIGFDRNGDTYNINADTAAGAVASALGATRFFLLTDVAGVLDK-NKELVPRM 235
                                               ************************************************************.666***** PP

                                 TIGR00761 194 eleeieqlikqavikgGmipKveaalealesgvkkvvi 231
                                               +l++++  i  + ++gGmipK+e +++a+e+gv ++vi
  lcl|FitnessBrowser__azobra:AZOBR_RS03285 236 SLDQARAAIADGTATGGMIPKIETCIDAVEQGVDAAVI 273
                                               **********************************9987 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (231 nodes)
Target sequences:                          1  (299 residues searched)
Passed MSV filter:                         1  (1); expected 0.0 (0.02)
Passed bias filter:                        1  (1); expected 0.0 (0.02)
Passed Vit filter:                         1  (1); expected 0.0 (0.001)
Passed Fwd filter:                         1  (1); expected 0.0 (1e-05)
Initial search space (Z):                  1  [actual number of targets]
Domain search space  (domZ):               1  [number of targets reported over threshold]
# CPU time: 0.00u 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 8.24
//
[ok]

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