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 GFF1854 Psest_1893 glucokinase, proteobacterial type

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



>FitnessBrowser__psRCH2:GFF1854
          Length = 320

 Score =  395 bits (1016), Expect = e-115
 Identities = 195/314 (62%), Positives = 233/314 (74%)

Query: 1   MKLALVGDIGGTNARFALWRDQELHSIRVHATADHSSPEDAIKVYLKEEGLEIGDIGAVC 60
           M  ALVGDIGGTNARFALWRDQ +  IRV  TAD++SPE AI+ YL+E    +  + AVC
Sbjct: 1   MSTALVGDIGGTNARFALWRDQRIEQIRVLPTADYASPELAIRAYLREVDQPLDALEAVC 60

Query: 61  LSVAGPVSGDEFKFTNNHWRLSKTAFCKTLQVDELLLVNDFSAMALGMTRLKPDEFRVVC 120
           L+ AGPV GD F+FTNNHW+LS+ AFC+ L V ELLL+NDF+AMALGMTRL   E   VC
Sbjct: 61  LACAGPVGGDLFRFTNNHWQLSREAFCRELGVKELLLINDFTAMALGMTRLHDGERITVC 120

Query: 121 EGTPEPLRPAVVIGPGTGLGVGTLLDLGAGRFAALPGEGGHVDLPLSSPRETQLWQHIYT 180
           +G PEP RP +VIGPGTGLGV  LL L  G + ALPGEGGH+ LP+ S RE  +W H++ 
Sbjct: 121 QGEPEPGRPRLVIGPGTGLGVAGLLPLSGGGWRALPGEGGHICLPIGSEREAAIWAHLHR 180

Query: 181 EIGHVSAETALSGGGLPRLYRAICAVDGHTPVLETPEAITAAGLAGDPVAMEVLDQFSIW 240
             GHV+AE  LSG GL  LYRA CA+DG     ++P AIT A LAGD  A  VL+QF  W
Sbjct: 181 SQGHVNAEAVLSGPGLLTLYRACCALDGQQVEFDSPAAITKAALAGDAYATAVLEQFCRW 240

Query: 241 LGRVAGNNVLTTGGRGGVYIVGGVIPRFADFFINSGFAKSFADKGCMSDYFKGIPVWLVT 300
           LGR+ G+NVLT G RGGVYIVGGV+PRFA+ F+ SGF+++  +KG MS YF  +PVWLVT
Sbjct: 241 LGRIVGDNVLTLGARGGVYIVGGVVPRFAEMFLRSGFSEALREKGQMSRYFDRLPVWLVT 300

Query: 301 APYSGLTGAGVALE 314
           APY GL GAGVAL+
Sbjct: 301 APYPGLEGAGVALQ 314


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: 379
Number of extensions: 15
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: 320
Length adjustment: 28
Effective length of query: 290
Effective length of database: 292
Effective search space:    84680
Effective search space used:    84680
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 GFF1854 Psest_1893 (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.6322.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
    1.7e-81  259.9   0.0    1.9e-81  259.7   0.0    1.0  1  lcl|FitnessBrowser__psRCH2:GFF1854  Psest_1893 glucokinase, proteoba


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__psRCH2:GFF1854  Psest_1893 glucokinase, proteobacterial type
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  259.7   0.0   1.9e-81   1.9e-81       1     315 []       5     310 ..       5     310 .. 0.96

  Alignments for each domain:
  == domain 1  score: 259.7 bits;  conditional E-value: 1.9e-81
                           TIGR00749   1 lvgdiGGtnarlalvevapgeieqvktyssedfpsleavvrvyleeakvelkdpikgcfaiatPiigdfvrltnl 75 
                                         lvgdiGGtnar+al     ++ieq++++ + d+ s e ++r yl+e    l      c+a a+P+ gd+ r+tn+
  lcl|FitnessBrowser__psRCH2:GFF1854   5 LVGDIGGTNARFAL--WRDQRIEQIRVLPTADYASPELAIRAYLREVDQPLDALEAVCLACAGPVGGDLFRFTNN 77 
                                         89************..8899*******************************997799****************** PP

                           TIGR00749  76 dWalsieelkqelalaklelindfaavayailalkeedliqlggakveesaaiailGaGtGlGvatliqqsdgry 150
                                         +W+ls e   +el++++l lindf+a+a++++ l++ + i +   ++e++ +  ++G+GtGlGva l++ s g +
  lcl|FitnessBrowser__psRCH2:GFF1854  78 HWQLSREAFCRELGVKELLLINDFTAMALGMTRLHDGERITVCQGEPEPGRPRLVIGPGTGLGVAGLLPLSGGGW 152
                                         ***********************************99988888889***************************** PP

                           TIGR00749 151 kvlageGghvdfaPrseleillleylrkkygrvsaervlsGsGlvliyealskrkgerevsklskeelkekdise 225
                                         ++l+geGgh+ +   se e+ ++  l++  g+v ae vlsG+Gl ++y+a    +g++       e   +  i++
  lcl|FitnessBrowser__psRCH2:GFF1854 153 RALPGEGGHICLPIGSEREAAIWAHLHRSQGHVNAEAVLSGPGLLTLYRACCALDGQQ------VEFDSPAAITK 221
                                         ***************************************************9999543......2567899**** PP

                           TIGR00749 226 aalegsdvlarralelflsilGalagnlalklgarGGvyvaGGivPrfiellkkssfraafedkGrlkellasiP 300
                                         aal+g+   a   le f+  lG++ g+  l+lgarGGvy++GG+vPrf e++ +s+f +a+ +kG++  ++  +P
  lcl|FitnessBrowser__psRCH2:GFF1854 222 AALAGDA-YATAVLEQFCRWLGRIVGDNVLTLGARGGVYIVGGVVPRFAEMFLRSGFSEALREKGQMSRYFDRLP 295
                                         *****86.67899************************************************************** PP

                           TIGR00749 301 vqvvlkkkvGllGag 315
                                         v +v    +Gl Gag
  lcl|FitnessBrowser__psRCH2:GFF1854 296 VWLVTAPYPGLEGAG 310
                                         *************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (315 nodes)
Target sequences:                          1  (320 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: 10.22
//
[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