GapMind for catabolism of small carbon sources

 

Alignments for a candidate for glk in Sinorhizobium meliloti 1021

Align Glucokinase; EC 2.7.1.2; Glucose kinase (uncharacterized)
to candidate SMc02835 SMc02835 glucokinase

Query= curated2:B9JYQ5
         (340 letters)



>FitnessBrowser__Smeli:SMc02835
          Length = 339

 Score =  457 bits (1177), Expect = e-133
 Identities = 225/338 (66%), Positives = 268/338 (79%), Gaps = 1/338 (0%)

Query: 4   PHDNDH-MPFPVLVGDIGGTNARFWILMDAHAAPKEFANIHTADFPTIDQAIQDCILDKS 62
           P+ ++H  PFP+L+GDIGGTNARF +L DA+  PK+ A I T DF TI++A+Q  ILDK+
Sbjct: 2   PNASEHSFPFPILIGDIGGTNARFALLTDAYGEPKQLAPIRTGDFATIEEAMQKGILDKT 61

Query: 63  GFQPRSAILAVAGPIKDDEIPLTNCPWVIRPKAMIADLGFDDVLVVNDFEAQALAAASLG 122
             QPRSAILAVAGPIK DEIPLTN  WVIRPK M+A LG +DVLV+NDFEAQALA A+  
Sbjct: 62  SVQPRSAILAVAGPIKGDEIPLTNAGWVIRPKDMLAGLGLEDVLVINDFEAQALAIAAPA 121

Query: 123 RNDREPIGPLTETSLNSRVILGPGTGLGVGGLLYTHHTWFPVPGEGGHVDIGPRSDRDWQ 182
             D   IG       +SRV+LGPGTGLGV GL+Y  HTW PVPGEGGHVDIGPR++RD++
Sbjct: 122 DQDVVQIGGGAVRPFHSRVVLGPGTGLGVAGLVYAQHTWIPVPGEGGHVDIGPRTERDFR 181

Query: 183 IFPHIERIEGRISGEQILCGRGILHLYNAICAADGIEPVWTDPADVTQHALKGNDPVCVE 242
           I+P +E IEGR++GEQILCGRGI++LY A+CAA+G E V  D A VT  AL G D   VE
Sbjct: 182 IWPFLEPIEGRMAGEQILCGRGIMNLYRAVCAANGEEAVLADQAAVTTSALSGADAAAVE 241

Query: 243 TMTLFVTYLGRIAGDMALVFMARGGVFLSGGISQKIIPLLKSPVFRAAFEDKAPHTEMMK 302
           T++LF TYLGR+AGDMAL+FMARGGVFL+GGISQKI+P L  P FRAAFEDKAPH+ +M+
Sbjct: 242 TVSLFATYLGRVAGDMALIFMARGGVFLAGGISQKILPALTKPEFRAAFEDKAPHSALMR 301

Query: 303 TIPTFVAIHPQAALSGLAAYARTPSSYGVKHEGRRWQR 340
           TIPTF  IHP AALSGLAA+ARTP  +GV  EGRRW+R
Sbjct: 302 TIPTFAVIHPMAALSGLAAFARTPRDFGVAMEGRRWRR 339


Lambda     K      H
   0.322    0.140    0.445 

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: 440
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: 340
Length of database: 339
Length adjustment: 28
Effective length of query: 312
Effective length of database: 311
Effective search space:    97032
Effective search space used:    97032
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 (21.9 bits)
S2: 49 (23.5 bits)

Align candidate SMc02835 SMc02835 (glucokinase)
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.2446.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
    3.4e-73  232.6   0.1    4.1e-73  232.3   0.1    1.0  1  lcl|FitnessBrowser__Smeli:SMc02835  SMc02835 glucokinase


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Smeli:SMc02835  SMc02835 glucokinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  232.3   0.1   4.1e-73   4.1e-73       1     313 [.      14     317 ..      14     319 .. 0.95

  Alignments for each domain:
  == domain 1  score: 232.3 bits;  conditional E-value: 4.1e-73
                           TIGR00749   1 lvgdiGGtnarlalvevapgeieqvktyssedfpsleavvrv.yleeakvelkdpikgcfaiatPiigdfvrltn 74 
                                         l+gdiGGtnar+al+  a ge +q+   ++ df  +e++++   l+++ v+   p  + +a+a+Pi gd + ltn
  lcl|FitnessBrowser__Smeli:SMc02835  14 LIGDIGGTNARFALLTDAYGEPKQLAPIRTGDFATIEEAMQKgILDKTSVQ---PRSAILAVAGPIKGDEIPLTN 85 
                                         79**********************************999987255655554...5679***************** PP

                           TIGR00749  75 ldWalsieelkqelalaklelindfaavayailalkeedliqlggakveesaaiailGaGtGlGvatliqqsdgr 149
                                           W +  +++   l+l+ + +indf a+a+ai+a  ++d++q+gg  v +  +  +lG+GtGlGva l+  ++  
  lcl|FitnessBrowser__Smeli:SMc02835  86 AGWVIRPKDMLAGLGLEDVLVINDFEAQALAIAAPADQDVVQIGGGAVRPFHSRVVLGPGTGLGVAGLVY-AQHT 159
                                         *********************************************************************9.9*** PP

                           TIGR00749 150 ykvlageGghvdfaPrseleillleylrkkygrvsaervlsGsGlvliyealskrkgerevsklskeelkekdis 224
                                         +  ++geGghvd  Pr e ++ ++ +l    gr++ e++l G G++++y+a+  ++ge+ v  l      +  ++
  lcl|FitnessBrowser__Smeli:SMc02835 160 WIPVPGEGGHVDIGPRTERDFRIWPFLEPIEGRMAGEQILCGRGIMNLYRAVCAANGEEAV--LA----DQAAVT 228
                                         *****************************99*************************98865..44....45679* PP

                           TIGR00749 225 eaalegsdvlarralelflsilGalagnlalklgarGGvyvaGGivPrfiellkkssfraafedkGrlkellasi 299
                                          +al g d+ a ++++lf + lG++ag++al + arGGv++aGGi  ++++ l k  fraafedk    +l+ +i
  lcl|FitnessBrowser__Smeli:SMc02835 229 TSALSGADAAAVETVSLFATYLGRVAGDMALIFMARGGVFLAGGISQKILPALTKPEFRAAFEDKAPHSALMRTI 303
                                         *************************************************************************** PP

                           TIGR00749 300 PvqvvlkkkvGllG 313
                                         P   v++  + l G
  lcl|FitnessBrowser__Smeli:SMc02835 304 PTFAVIHPMAALSG 317
                                         *******9998887 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (315 nodes)
Target sequences:                          1  (339 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 0.00s 00:00:00.01 Elapsed: 00:00:00.01
# Mc/sec: 8.35
//
[ok]

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

Links

Downloads

Related tools

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