Aligments for a candidate for proB in Pseudomonas fluorescens FW300-N2E3

GapMind for Amino acid biosynthesis

Aligments for a candidate for proB in Pseudomonas fluorescens FW300-N2E3

Align glutamate 5-kinase (EC 2.7.2.11) (characterized)
to candidate AO353_14115 AO353_14115 gamma-glutamyl kinase

Query= BRENDA::P0A7B5
         (367 letters)



>FitnessBrowser__pseudo3_N2E3:AO353_14115
          Length = 372

 Score =  303 bits (775), Expect = 6e-87
 Identities = 163/366 (44%), Positives = 231/366 (63%), Gaps = 1/366 (0%)

Query: 1   MSDSQTLVVKLGTSVLTGGSRRLNRAHIVELVRQCAQLHAAGHRIVIVTSGAIAAGREHL 60
           ++ +Q  VVK+G+++LT   + L+RA +   V Q   LH AG  +V+V+SGA+AAG   L
Sbjct: 5   VTGAQRWVVKIGSALLTADGKGLDRAAMSVWVEQMVALHEAGVELVLVSSGAVAAGMSRL 64

Query: 61  GYPELPATIASKQLLAAVGQSRLIQLWEQLFSIYGIHVGQMLLTRADMEDRERFLNARDT 120
           G+   P+ +   Q  AA+GQ  L+Q WE  F+ +G H  Q+LLT  D+ DR+R+LNAR T
Sbjct: 65  GWTARPSAMHELQAAAAIGQMGLVQAWESSFAEHGRHTAQILLTHDDLSDRKRYLNARST 124

Query: 121 LRALLDNNIVPVINENDAVATAEIKVGDNDNLSALAAILAGADKLLLLTDQKGLYTADPR 180
           LRAL+D  ++PVINEND V T EI+ GDND L+AL A L  AD L++LTD+ G++ ADPR
Sbjct: 125 LRALVDLKVIPVINENDTVVTDEIRFGDNDTLAALVANLVEADLLVILTDRDGMFDADPR 184

Query: 181 SNPQAELIKDVYGIDDALRAIAGDSVSGLGTGGMSTKLQAADVACRAGIDTIIAAGSKPG 240
           +NP A+LI +    D AL A+AG +   LG GGM TKL+AA +A R+G  TII  G    
Sbjct: 185 NNPDAKLIYEARADDPALDAVAGGTGGALGRGGMQTKLRAARLAARSGAHTIIVGGRLER 244

Query: 241 VIGDVMEGISVGTLFHAQATPLENRKRWIFG-APPAGEITVDEGATAAILERGSSLLPKG 299
           V+  +  G  +GTL   +   L  RK+W+ G     G + +DEGA  A+     SLLP G
Sbjct: 245 VLDRLKAGERIGTLLSPERGLLAARKQWLAGHLQTRGTLVLDEGAVTALSRGNKSLLPVG 304

Query: 300 IKSVTGNFSRGEVIRICNLEGRDIAHGVSRYNSDALRRIAGHHSQEIDAILGYEYGPVAV 359
           +K V G+F RGE++     +GR+IA G++ Y++   ++I G  S+ I  +LGY   P  V
Sbjct: 305 VKLVQGSFRRGEMVVCVAPDGREIARGLANYSALEAQKIIGQSSEAIVGLLGYMAEPELV 364

Query: 360 HRDDMI 365
           HRD++I
Sbjct: 365 HRDNLI 370


Lambda     K      H
   0.318    0.135    0.384 

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: 360
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: 367
Length of database: 372
Length adjustment: 30
Effective length of query: 337
Effective length of database: 342
Effective search space:   115254
Effective search space used:   115254
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: 49 (23.5 bits)

Align candidate AO353_14115 AO353_14115 (gamma-glutamyl kinase)
to HMM TIGR01027 (proB: glutamate 5-kinase (EC 2.7.2.11))

# 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/TIGR01027.hmm
# target sequence database:        /tmp/gapView.24653.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01027  [M=363]
Accession:   TIGR01027
Description: proB: glutamate 5-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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                     -----------
   2.9e-134  433.7   0.3   3.3e-134  433.5   0.3    1.0  1  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115  AO353_14115 gamma-glutamyl kinas


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115  AO353_14115 gamma-glutamyl kinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  433.5   0.3  3.3e-134  3.3e-134       2     362 ..      10     370 ..       9     371 .. 0.99

  Alignments for each domain:
  == domain 1  score: 433.5 bits;  conditional E-value: 3.3e-134
                                     TIGR01027   2 riVvKlGsssLteesgklkrsklaelveqvaklkkaGhevvivsSGavaaGleaLglperpkkla 66 
                                                   r VvK+Gs++Lt++ + l+r+ ++  veq+ +l++aG e+v+vsSGavaaG+++Lg + rp  ++
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115  10 RWVVKIGSALLTADGKGLDRAAMSVWVEQMVALHEAGVELVLVSSGAVAAGMSRLGWTARPSAMH 74 
                                                   78*************************************************************** PP

                                     TIGR01027  67 ekQalaaVGQgrLmklyeklfsqyglkvaQiLLtradlskrerylNarntleellelgvvpivNE 131
                                                   e Qa+aa+GQ  L++++e++f+++g+++aQiLLt++dls+r+rylNar+tl++l++l+v+p++NE
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115  75 ELQAAAAIGQMGLVQAWESSFAEHGRHTAQILLTHDDLSDRKRYLNARSTLRALVDLKVIPVINE 139
                                                   ***************************************************************** PP

                                     TIGR01027 132 NDtvaveeikfGDNDtLsalvaalveAdlLvlltdvdgLydadprtnpdAklieeveeieeelka 196
                                                   NDtv ++ei+fGDNDtL+alva+lveAdlLv+ltd dg++dadpr+npdAkli e ++ + +l+a
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115 140 NDTVVTDEIRFGDNDTLAALVANLVEADLLVILTDRDGMFDADPRNNPDAKLIYEARADDPALDA 204
                                                   ***************************************************************** PP

                                     TIGR01027 197 vagssgssvGTGGmrtKleaaelAsragveviiasgekpekiadlledaavgtlfeakkkklknr 261
                                                   vag++g ++G GGm+tKl aa+lA+r+g ++ii+ g+ +  + +l +++ +gtl+ +++  l +r
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115 205 VAGGTGGALGRGGMQTKLRAARLAARSGAHTIIVGGRLERVLDRLKAGERIGTLLSPERGLLAAR 269
                                                   **************************************999************************ PP

                                     TIGR01027 262 kqwilaaseakGkiivdegaeeallekgksLlpagvvevegnFsrgevveilaeegqeigkglvn 326
                                                   kqw++ +++++G++++dega++al++ +ksLlp+gv  v+g+F+rge+v ++a++g+ei++gl+n
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115 270 KQWLAGHLQTRGTLVLDEGAVTALSRGNKSLLPVGVKLVQGSFRRGEMVVCVAPDGREIARGLAN 334
                                                   ***************************************************************** PP

                                     TIGR01027 327 ysseelekikglkseeiedvLgyekkeevvhrdnlv 362
                                                   ys+ e +ki g++se i  +Lgy  + e vhrdnl+
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_14115 335 YSALEAQKIIGQSSEAIVGLLGYMAEPELVHRDNLI 370
                                                   **********************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (363 nodes)
Target sequences:                          1  (372 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: 0.01u 0.01s 00:00:00.02 Elapsed: 00:00:00.01
# Mc/sec: 8.76
//
[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:

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, 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

GapMind for Amino acid biosynthesis