Alignments for a candidate for argB in Pseudomonas putida KT2440

GapMind for Amino acid biosynthesis

Alignments for a candidate for argB in Pseudomonas putida KT2440

Align acetylglutamate kinase (EC 2.7.2.8) (characterized)
to candidate PP_5289 PP_5289 Acetylglutamate kinase

Query= BRENDA::Q9HTN2
         (301 letters)



>FitnessBrowser__Putida:PP_5289
          Length = 301

 Score =  541 bits (1395), Expect = e-159
 Identities = 277/299 (92%), Positives = 289/299 (96%)

Query: 1   MTLSRDDAAQVAKVLSEALPYIRRFVGKTLVIKYGGNAMESEELKAGFARDVVLMKAVGI 60
           MTL RD A+ VA+VLSEALPYIRRFVGKTLVIKYGGNAMESEELK GFARD+VLMKAVGI
Sbjct: 1   MTLDRDAASHVAEVLSEALPYIRRFVGKTLVIKYGGNAMESEELKTGFARDIVLMKAVGI 60

Query: 61  NPVVVHGGGPQIGDLLKRLSIESHFIDGMRVTDAATMDVVEMVLGGQVNKDIVNLINRHG 120
           NPVVVHGGGPQIGDLLKRLSIESHFIDGMRVTD+ATMDVVEMVLGGQVNKDIVNLINRHG
Sbjct: 61  NPVVVHGGGPQIGDLLKRLSIESHFIDGMRVTDSATMDVVEMVLGGQVNKDIVNLINRHG 120

Query: 121 GSAIGLTGKDAELIRAKKLTVTRQTPEMTKPEIIDIGHVGEVTGVNVGLLNMLVKGDFIP 180
           GSAIGLTGKDAELIRA+KLTV+RQTPEMT PEIIDIGHVGEV  VN  LLNMLVKGDFIP
Sbjct: 121 GSAIGLTGKDAELIRARKLTVSRQTPEMTTPEIIDIGHVGEVVSVNTDLLNMLVKGDFIP 180

Query: 181 VIAPIGVGSNGESYNINADLVAGKVAEALKAEKLMLLTNIAGLMDKQGQVLTGLSTEQVN 240
           VIAPIGVG+NGESYNINADLVAGKVAEALKAEKLMLLTNIAGLMDKQGQVLTGL+TEQVN
Sbjct: 181 VIAPIGVGANGESYNINADLVAGKVAEALKAEKLMLLTNIAGLMDKQGQVLTGLTTEQVN 240

Query: 241 ELIADGTIYGGMLPKIRCALEAVQGGVTSAHIIDGRVPNAVLLEIFTDSGVGTLISNRK 299
           ELIADGTIYGGMLPKI+CAL+AVQGGV S+HIIDGRVPNAVLLEIFTDSGVGTLI+NRK
Sbjct: 241 ELIADGTIYGGMLPKIKCALDAVQGGVNSSHIIDGRVPNAVLLEIFTDSGVGTLITNRK 299


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: 469
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: 301
Length adjustment: 27
Effective length of query: 274
Effective length of database: 274
Effective search space:    75076
Effective search space used:    75076
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 PP_5289 PP_5289 (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.1471557.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                       -----------
    1.7e-83  265.7   7.1    2.1e-83  265.4   7.1    1.1  1  FitnessBrowser__Putida:PP_5289  


Domain annotation for each sequence (and alignments):
>> FitnessBrowser__Putida:PP_5289  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  265.4   7.1   2.1e-83   2.1e-83       1     231 []      29     272 ..      29     272 .. 0.98

  Alignments for each domain:
  == domain 1  score: 265.4 bits;  conditional E-value: 2.1e-83
                       TIGR00761   1 tiViKiGGaais..elleelakdiaklrkegiklvivHGGgpeinelleklgievefvnglRvTdketlevvemvligk 77 
                                     t+ViK+GG+a++  el++ +a+di+ ++++gi++v+vHGGgp+i  ll++l ie +f++g+RvTd +t++vvemvl g+
  FitnessBrowser__Putida:PP_5289  29 TLVIKYGGNAMEseELKTGFARDIVLMKAVGINPVVVHGGGPQIGDLLKRLSIESHFIDGMRVTDSATMDVVEMVLGGQ 107
                                     68*********9999**************************************************************** PP

                       TIGR00761  78 vnkelvallekhgikavGltgkDgqlltaekldke............dlgyvGeikkvnkelleallkagiipviasla 144
                                     vnk +v+l+++hg +a+GltgkD++l+ a+kl+++            d+g+vGe+ +vn++ll+ l+k ++ipvia+++
  FitnessBrowser__Putida:PP_5289 108 VNKDIVNLINRHGGSAIGLTGKDAELIRARKLTVSrqtpemttpeiiDIGHVGEVVSVNTDLLNMLVKGDFIPVIAPIG 186
                                     ******************************99998899***************************************** PP

                       TIGR00761 145 ldeegqllNvnaDtaAaelAaaleAekLvlLtdvaGilegdkksliseleleeieqlikqavikgGmipKveaaleale 223
                                     + ++g+ +N+naD +A+++A+al+AekL+lLt++aG+++++++ +++ l++e++++li  + i+gGm pK+++al+a++
  FitnessBrowser__Putida:PP_5289 187 VGANGESYNINADLVAGKVAEALKAEKLMLLTNIAGLMDKQGQ-VLTGLTTEQVNELIADGTIYGGMLPKIKCALDAVQ 264
                                     ****************************************555.*********************************** PP

                       TIGR00761 224 sgvkkvvi 231
                                     +gv++++i
  FitnessBrowser__Putida:PP_5289 265 GGVNSSHI 272
                                     *****998 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (231 nodes)
Target sequences:                          1  (301 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: 18.14
//
[ok]

This GapMind analysis is from Jul 25 2024. The underlying query database was built on Jul 25 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