GapMind for catabolism of small carbon sources

 

Alignments for a candidate for glk in Pseudomonas stutzeri RCH2

Align Glucokinase (EC 2.7.1.2) (characterized)
to candidate GFF836 Psest_0850 glucokinase, proteobacterial type

Query= reanno::WCS417:GFF4431
         (318 letters)



>FitnessBrowser__psRCH2:GFF836
          Length = 319

 Score =  412 bits (1058), Expect = e-120
 Identities = 201/318 (63%), Positives = 238/318 (74%)

Query: 1   MKLALVGDIGGTNARFALWRDQELHSIRVHATADHSSPEDAIKVYLKEEGLEIGDIGAVC 60
           M+LALVGDIGGTNARFALWRD  L S+RV A AD ++PE A++ YL   GL  G + A C
Sbjct: 1   MRLALVGDIGGTNARFALWRDSRLESVRVLAAADFATPEMAVEYYLASLGLAPGSVEAAC 60

Query: 61  LSVAGPVSGDEFKFTNNHWRLSKTAFCKTLQVDELLLVNDFSAMALGMTRLKPDEFRVVC 120
           L+ AGPV G++F FTNNHWRL+++ FC  LQ+ ELLL+NDF+AMALGMTR+     R++C
Sbjct: 61  LACAGPVKGEQFTFTNNHWRLTRSDFCGALQMGELLLINDFAAMALGMTRVGEAGRRMIC 120

Query: 121 EGTPEPLRPAVVIGPGTGLGVGTLLDLGAGRFAALPGEGGHVDLPLSSPRETQLWQHIYT 180
            G  EP  PA+VIGPGTGLGV  LL LG G + ALPGEGGHVDLP++   E  LWQ ++ 
Sbjct: 121 AGEAEPDAPALVIGPGTGLGVAGLLPLGGGSWRALPGEGGHVDLPVADAHEAALWQMLFA 180

Query: 181 EIGHVSAETALSGGGLPRLYRAICAVDGHTPVLETPEAITAAGLAGDPVAMEVLDQFSIW 240
           ++GHV AE  LSGGGL  LYR +C V G  P L +P  +TAA LAGD VA+  L+QF +W
Sbjct: 181 QLGHVRAEDVLSGGGLLLLYRTVCTVAGLAPRLASPAEVTAAALAGDHVAVATLEQFCVW 240

Query: 241 LGRVAGNNVLTTGGRGGVYIVGGVIPRFADFFINSGFAKSFADKGCMSDYFKGIPVWLVT 300
           LGRVAGNNVLT G RGGVYIVGGV+PRFADFF  SGFA+ F  KGCMS Y   +PVWLVT
Sbjct: 241 LGRVAGNNVLTLGARGGVYIVGGVVPRFADFFAASGFARGFTSKGCMSRYLGDVPVWLVT 300

Query: 301 APYSGLTGAGVALEQAFA 318
           A + GL GAGVALEQA A
Sbjct: 301 AEFPGLEGAGVALEQALA 318


Lambda     K      H
   0.320    0.139    0.429 

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: 371
Number of extensions: 11
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: 318
Length of database: 319
Length adjustment: 27
Effective length of query: 291
Effective length of database: 292
Effective search space:    84972
Effective search space used:    84972
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: 48 (23.1 bits)

Align candidate GFF836 Psest_0850 (glucokinase, proteobacterial type)
to HMM TIGR00749 (glk: glucokinase (EC 2.7.1.2))

# 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.carbon/TIGR00749.hmm
# target sequence database:        /tmp/gapView.22962.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00749  [M=315]
Accession:   TIGR00749
Description: glk: glucokinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                          -----------
    3.2e-82  262.3   0.1    3.7e-82  262.1   0.1    1.0  1  lcl|FitnessBrowser__psRCH2:GFF836  Psest_0850 glucokinase, proteoba


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__psRCH2:GFF836  Psest_0850 glucokinase, proteobacterial type
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  262.1   0.1   3.7e-82   3.7e-82       1     315 []       5     310 ..       5     310 .. 0.96

  Alignments for each domain:
  == domain 1  score: 262.1 bits;  conditional E-value: 3.7e-82
                          TIGR00749   1 lvgdiGGtnarlalvevapgeieqvktyssedfpsleavvrvyleeakvelkdpikgcfaiatPiigdfvrltnld 76 
                                        lvgdiGGtnar+al      ++e+v+++ + df   e +v +yl       +    +c+a a+P+ g+   +tn++
  lcl|FitnessBrowser__psRCH2:GFF836   5 LVGDIGGTNARFAL--WRDSRLESVRVLAAADFATPEMAVEYYLASLGLAPGSVEAACLACAGPVKGEQFTFTNNH 78 
                                        89************..677889***********************99999999779******************** PP

                          TIGR00749  77 WalsieelkqelalaklelindfaavayailalkeedliqlggakveesaaiailGaGtGlGvatliqqsdgrykv 152
                                        W l+  +    l + +l lindfaa+a++++ ++e    ++ + ++e++a+  ++G+GtGlGva l++ + g++++
  lcl|FitnessBrowser__psRCH2:GFF836  79 WRLTRSDFCGALQMGELLLINDFAAMALGMTRVGEAGRRMICAGEAEPDAPALVIGPGTGLGVAGLLPLGGGSWRA 154
                                        **************************************************************************** PP

                          TIGR00749 153 lageGghvdfaPrseleillleylrkkygrvsaervlsGsGlvliyealskrkgerevsklskeelkekdiseaal 228
                                        l+geGghvd+   +  e+ l+++l +++g+v ae vlsG Gl l+y+ +           l      + +++ aal
  lcl|FitnessBrowser__psRCH2:GFF836 155 LPGEGGHVDLPVADAHEAALWQMLFAQLGHVRAEDVLSGGGLLLLYRTVCTVA------GLAPRLASPAEVTAAAL 224
                                        ************************************************99876......45555569********* PP

                          TIGR00749 229 egsdvlarralelflsilGalagnlalklgarGGvyvaGGivPrfiellkkssfraafedkGrlkellasiPvqvv 304
                                        +g++v a  +le f++ lG++agn  l+lgarGGvy++GG+vPrf +++ +s+f  +f  kG +  +l+++Pv +v
  lcl|FitnessBrowser__psRCH2:GFF836 225 AGDHV-AVATLEQFCVWLGRVAGNNVLTLGARGGVYIVGGVVPRFADFFAASGFARGFTSKGCMSRYLGDVPVWLV 299
                                        **987.5689****************************************************************** PP

                          TIGR00749 305 lkkkvGllGag 315
                                          + +Gl Gag
  lcl|FitnessBrowser__psRCH2:GFF836 300 TAEFPGLEGAG 310
                                        *********97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (315 nodes)
Target sequences:                          1  (319 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: 9.02
//
[ok]

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 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:

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