GapMind for Amino acid biosynthesis

 

Aligments for a candidate for dapA in Echinicola vietnamensis KMM 6221, DSM 17526

Align 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7) (characterized)
to candidate Echvi_3959 Echvi_3959 dihydrodipicolinate synthase

Query= BRENDA::Q9JZR4
         (291 letters)



>lcl|FitnessBrowser__Cola:Echvi_3959 Echvi_3959 dihydrodipicolinate
           synthase
          Length = 286

 Score =  221 bits (562), Expect = 2e-62
 Identities = 116/279 (41%), Positives = 175/279 (62%), Gaps = 4/279 (1%)

Query: 4   GSLVALITPMNQDGSIHYEQLRDLIDWHIENGTDGIVAVGTTGESATLSVEEHTAVIEAV 63
           G+ VAL+TP +++G+I Y  L  +I+  I+ G D +V +GTTGE++T+S +E   ++ A 
Sbjct: 6   GTGVALVTPFDEEGNIDYNGLDKVIEHVIQGGADYLVVMGTTGEASTMSRKEKHDILAAA 65

Query: 64  VKHVAKRVPVIAGTGANNTVEAIALSQAAEKAGADYTLSVVPYYNKPSQEGIYQHFKTIA 123
           VK    R+P++ G GANNT  AI      + +G    LSV PYYNKP+QEGIYQH+  +A
Sbjct: 66  VKTNNGRLPIVYGIGANNTQAAIDEIDETDLSGVAALLSVSPYYNKPTQEGIYQHYIKVA 125

Query: 124 EATSIPMIIYNVPGRTVVSMTNDTILRLAEIPNIVGVKEASGNIGSNIELINRAPEGFVV 183
           +A+ +P+I+YNVPGRT+ ++T  T LRL+E P I+GVKEASG++   +++I + P  F++
Sbjct: 126 DASPVPIILYNVPGRTMSNITAATTLRLSEHPKIIGVKEASGDMVQCMDIIRKKPSDFLL 185

Query: 184 LSGDDHTALPFMLCGGHGVITVAANAAPKLFADMCRAALQGDIALARELNDRLIPIYDTM 243
           +SGDD         GGHG I+V ANA P +F  +C  + +  +A       RL+ I   M
Sbjct: 186 ISGDDMLTTSLKAIGGHGAISVLANAYPDIFKTICHGSAEESLA----ATFRLLDINAWM 241

Query: 244 FCEPSPAAPKWAVSALGRCEPHVRLPLVPLTENGQAKVR 282
           + E +P   K  +  +G C   VRLPL+  TE+   K++
Sbjct: 242 YVESNPVGVKNLLKHMGVCGDQVRLPLLRATESLDKKIK 280


Lambda     K      H
   0.317    0.133    0.386 

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: 226
Number of extensions: 8
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: 291
Length of database: 286
Length adjustment: 26
Effective length of query: 265
Effective length of database: 260
Effective search space:    68900
Effective search space used:    68900
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 Echvi_3959 Echvi_3959 (dihydrodipicolinate synthase)
to HMM TIGR00674 (dapA: 4-hydroxy-tetrahydrodipicolinate synthase (EC 4.3.3.7))

# 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/TIGR00674.hmm
# target sequence database:        /tmp/gapView.3210.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00674  [M=286]
Accession:   TIGR00674
Description: dapA: 4-hydroxy-tetrahydrodipicolinate synthase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                            -----------
    1.1e-93  299.2   0.1    1.2e-93  299.0   0.1    1.0  1  lcl|FitnessBrowser__Cola:Echvi_3959  Echvi_3959 dihydrodipicolinate s


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Cola:Echvi_3959  Echvi_3959 dihydrodipicolinate synthase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  299.0   0.1   1.2e-93   1.2e-93       4     283 ..       9     283 ..       6     286 .] 0.97

  Alignments for each domain:
  == domain 1  score: 299.0 bits;  conditional E-value: 1.2e-93
                            TIGR00674   4 tAliTPfkedgsvdfaalekliesqiekgvdaivvvGtTGEsatLsleEkkkvievavelvknrvpviaGtgsn 77 
                                          +Al+TPf+e+g++d++ l+k+ie+ i+ g d +vv+GtTGE+ t+s +Ek++++  av+++++r+p++ G+g+n
  lcl|FitnessBrowser__Cola:Echvi_3959   9 VALVTPFDEEGNIDYNGLDKVIEHVIQGGADYLVVMGTTGEASTMSRKEKHDILAAAVKTNNGRLPIVYGIGAN 82 
                                          7************************************************************************* PP

                            TIGR00674  78 ateeaieltkeaeklgvdgvlvvtPyYnkPtqeGlykhfkaiaeevelPiilYnvPsRtgvslepetvkrLaee 151
                                          +t+ ai+ ++e++ +gv+++l+v+PyYnkPtqeG+y+h+ ++a+++ +PiilYnvP+Rt  +++  t++rL+e+
  lcl|FitnessBrowser__Cola:Echvi_3959  83 NTQAAIDEIDETDLSGVAALLSVSPYYNKPTQEGIYQHYIKVADASPVPIILYNVPGRTMSNITAATTLRLSEH 156
                                          ************************************************************************** PP

                            TIGR00674 152 veivaiKeasgdlervseikaeakedfkvlsGdDaltleilalGakGviSVasnvapkelkemvkaalegdtee 225
                                          ++i+++Keasgd+ +++ i+++++ df + sGdD lt+++ a+G++G iSV++n  p+ +k +++  +e++ + 
  lcl|FitnessBrowser__Cola:Echvi_3959 157 PKIIGVKEASGDMVQCMDIIRKKPSDFLLISGDDMLTTSLKAIGGHGAISVLANAYPDIFKTICHGSAEESLAA 230
                                          **********************************************************9999999877777766 PP

                            TIGR00674 226 areihqkllklfkalfietNPipvKtalallgliekdelRlPLtelseekkeklkevl 283
                                                +ll++  ++++e+NP++vK +l+ +g++   ++RlPL  ++e+  +k+ke  
  lcl|FitnessBrowser__Cola:Echvi_3959 231 T----FRLLDINAWMYVESNPVGVKNLLKHMGVCGD-QVRLPLLRATESLDKKIKELA 283
                                          6....9****************************98.***************999865 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (286 nodes)
Target sequences:                          1  (286 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: 6.32
//
[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:

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 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