Alignments for a candidate for argB in Nitratiruptor tergarcus DSM 16512

GapMind for Amino acid biosynthesis

Alignments for a candidate for argB in Nitratiruptor tergarcus DSM 16512

Align acetylglutamate kinase (EC 2.7.2.8) (characterized)
to candidate WP_084276093.1 B8779_RS08125 acetylglutamate kinase

Query= BRENDA::Q9X2A4
         (282 letters)



>NCBI__GCF_900176045.1:WP_084276093.1
          Length = 284

 Score =  268 bits (686), Expect = 8e-77
 Identities = 141/279 (50%), Positives = 195/279 (69%), Gaps = 4/279 (1%)

Query: 2   RIDTVNVLLEALPYIKEFYGKTFVIKFGGSAMKQENAKKAFIQDIILLKYTGIKPIIVHG 61
           +I TV  LL++LP+IK+F  + FVIK+GGSA   +  K+ F QDI+LL   GIKP++VHG
Sbjct: 4   KIQTVQTLLDSLPFIKKFREEIFVIKYGGSAQTDQKLKEKFAQDILLLYTVGIKPVVVHG 63

Query: 62  GGPAISQMMKDLGIEPVFKNGHRVTDEKTMEIVEMVLVGKINKEIVMNLNLHGGRAVGIC 121
           GG  I++++  L I+  F +G RVT E+ MEIVEMVL G INKEIV  LN HG +A+GI 
Sbjct: 64  GGKRITEILTRLQIDTEFIDGQRVTTEEVMEIVEMVLSGDINKEIVSLLNNHGAKALGIS 123

Query: 122 GKDSKLIVAEKETKHGDIGYVGKVKKVNPEILHALIENDYIPVIAPVGIGED-GH-SYNI 179
           GKD+  I A +       GY G + +++P +++ L+E  +IPVIAP+      GH  YNI
Sbjct: 124 GKDAHFITA-RPKDFEKFGYTGVIDRIDPAVVYNLLEEQFIPVIAPIAASNKVGHPGYNI 182

Query: 180 NADTAAAEIAKSLMAEKLILLTDVDGVL-KDGKLISTLTPDEAEELIRDGTVTGGMIPKV 238
           NAD  A+++A SL A+K+I LTD  GVL K+GKLISTLT ++   L +DGT++GGMIPKV
Sbjct: 183 NADLCASKVAGSLKAKKIIFLTDTPGVLDKEGKLISTLTEEKIGLLKQDGTISGGMIPKV 242

Query: 239 ECAVSAVRGGVGAVHIINGGLEHAILLEIFSRKGIGTMI 277
           +  + A+  GV   HII+G +EH++LLEIF+ +GIGT +
Sbjct: 243 DACLEAIHSGVEKAHIIDGRIEHSLLLEIFTSEGIGTQV 281


Lambda     K      H
   0.318    0.140    0.393 

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: 270
Number of extensions: 13
Number of successful extensions: 4
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: 282
Length of database: 284
Length adjustment: 26
Effective length of query: 256
Effective length of database: 258
Effective search space:    66048
Effective search space used:    66048
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 (21.6 bits)
S2: 47 (22.7 bits)

Align candidate WP_084276093.1 B8779_RS08125 (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.10459.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
    1.3e-81  259.5   1.2    1.6e-81  259.3   1.2    1.1  1  lcl|NCBI__GCF_900176045.1:WP_084276093.1  B8779_RS08125 acetylglutamate ki


Domain annotation for each sequence (and alignments):
>> lcl|NCBI__GCF_900176045.1:WP_084276093.1  B8779_RS08125 acetylglutamate kinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  259.3   1.2   1.6e-81   1.6e-81       2     231 .]      26     258 ..      25     258 .. 0.97

  Alignments for each domain:
  == domain 1  score: 259.3 bits;  conditional E-value: 1.6e-81
                                 TIGR00761   2 iViKiGGaais..elleelakdiaklrkegiklvivHGGgpeinelleklgievefvnglRvTdketle 68 
                                                ViK+GG+a +  +l+e++a+di  l+ +gik+v+vHGGg+ i+e+l++l+i++ef++g+RvT++e++e
  lcl|NCBI__GCF_900176045.1:WP_084276093.1  26 FVIKYGGSAQTdqKLKEKFAQDILLLYTVGIKPVVVHGGGKRITEILTRLQIDTEFIDGQRVTTEEVME 94 
                                               69*******998899****************************************************** PP

                                 TIGR00761  69 vvemvligkvnkelvallekhgikavGltgkDgqlltaekldkedlgyvGeikkvnkelleallkagii 137
                                               +vemvl g++nke+v ll++hg+ka+G++gkD++ +ta+  d e+ gy+G+i++++++++ +ll++++i
  lcl|NCBI__GCF_900176045.1:WP_084276093.1  95 IVEMVLSGDINKEIVSLLNNHGAKALGISGKDAHFITARPKDFEKFGYTGVIDRIDPAVVYNLLEEQFI 163
                                               ********************************************************************* PP

                                 TIGR00761 138 pviaslald..eegqllNvnaDtaAaelAaaleAekLvlLtdvaGilegdkksliseleleeieqlikq 204
                                               pvia++a++    +  +N+naD +A+++A +l+A+k+++Ltd++G+l++ + +lis l+ e+i  l + 
  lcl|NCBI__GCF_900176045.1:WP_084276093.1 164 PVIAPIAASnkVGHPGYNINADLCASKVAGSLKAKKIIFLTDTPGVLDK-EGKLISTLTEEKIGLLKQD 231
                                               *******995233556*********************************.666**************** PP

                                 TIGR00761 205 avikgGmipKveaalealesgvkkvvi 231
                                               + i gGmipKv+a+lea++sgv+k++i
  lcl|NCBI__GCF_900176045.1:WP_084276093.1 232 GTISGGMIPKVDACLEAIHSGVEKAHI 258
                                               *************************98 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (231 nodes)
Target sequences:                          1  (284 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 0.01s 00:00:00.01 Elapsed: 00:00:00.00
# Mc/sec: 8.66
//
[ok]

This GapMind analysis is from Apr 10 2024. The underlying query database was built on Apr 09 2024.

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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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer
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

GapMind for Amino acid biosynthesis