GapMind for Amino acid biosynthesis

 

Aligments for a candidate for dapA in Bacteroides thetaiotaomicron VPI-5482

Align 4-hydroxy-tetrahydrodipicolinate synthase; HTPA synthase; EC 4.3.3.7 (characterized)
to candidate 350423 BT0895 dihydrodipicolinate synthase (NCBI ptt file)

Query= SwissProt::Q9X1K9
         (294 letters)



>FitnessBrowser__Btheta:350423
          Length = 297

 Score =  251 bits (642), Expect = 1e-71
 Identities = 130/289 (44%), Positives = 185/289 (64%), Gaps = 4/289 (1%)

Query: 3   RGVGTAIVTPFKNGE-LDLESYERLVRYQLENGVNALIVLGTTGESPTVNEDEREKLVSR 61
           +G+G A++TPFK  E +D ++  RLV Y L+N  + L VLGTT E+PT+ E+E++ +   
Sbjct: 7   KGMGVALITPFKEDESVDYDALMRLVDYLLQNNADFLCVLGTTAETPTLTEEEKKTIKKM 66

Query: 62  TLEIVDGKIPVIVGAGTNSTEKTLKLVKQAEKLGANGVLVVTPYYNKPTQEGLYQHYKYI 121
            ++ V+G+IP+++G G N+T   ++ +K  +  G + +L V PYYNKP+QEG+YQHYK I
Sbjct: 67  VIDRVNGRIPILLGVGGNNTRAIVETLKNDDFTGVDAILSVVPYYNKPSQEGIYQHYKAI 126

Query: 122 SERTDLGIVVYNVPGRTGVNVLPETAARIAADLKNVVGIKEANPDIDQIDRTVSLTKQAR 181
           SE T+L IV+YNVPGRTGVN+  ET  RIA +  NV+ IKEA+ +I Q+D    + K   
Sbjct: 127 SEATELPIVLYNVPGRTGVNMTAETTLRIARNFSNVIAIKEASGNITQMD---DIIKNKP 183

Query: 182 SDFMVWSGNDDRTFYLLCAGGDGVISVVSNVAPKQMVELCAEYFSGNLEKSREVHRKLRP 241
            +F V SG+D  TF L+  G  GVISV+ N  P++   +      G+   +  +H +   
Sbjct: 184 DNFNVISGDDGITFPLITLGAVGVISVIGNAFPREFSRMTRLALQGDFANALTIHHRFTE 243

Query: 242 LMKALFVETNPIPVKAALNLMGFIENELRLPLVPASEKTVELLRNVLKE 290
           L   LFV+ NP  VK+ LN MG IEN+LRLPLVP    T E +R VL E
Sbjct: 244 LFDLLFVDGNPAGVKSMLNAMGMIENKLRLPLVPTRITTFEAIRKVLNE 292


Lambda     K      H
   0.316    0.135    0.378 

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: 267
Number of extensions: 16
Number of successful extensions: 3
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: 294
Length of database: 297
Length adjustment: 26
Effective length of query: 268
Effective length of database: 271
Effective search space:    72628
Effective search space used:    72628
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 (21.5 bits)
S2: 48 (23.1 bits)

Align candidate 350423 BT0895 (dihydrodipicolinate synthase (NCBI ptt file))
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.11946.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                          -----------
   1.6e-102  328.2   0.1   1.8e-102  328.0   0.1    1.0  1  lcl|FitnessBrowser__Btheta:350423  BT0895 dihydrodipicolinate synth


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Btheta:350423  BT0895 dihydrodipicolinate synthase (NCBI ptt file)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  328.0   0.1  1.8e-102  1.8e-102       4     285 ..      11     292 ..       8     293 .. 0.99

  Alignments for each domain:
  == domain 1  score: 328.0 bits;  conditional E-value: 1.8e-102
                          TIGR00674   4 tAliTPfkedgsvdfaalekliesqiekgvdaivvvGtTGEsatLsleEkkkvievavelvknrvpviaGtgsnat 79 
                                        +AliTPfked+svd++al +l++++++++ d + v+GtT E++tL+ eEkk++ +++++ v++r+p++ G+g+n+t
  lcl|FitnessBrowser__Btheta:350423  11 VALITPFKEDESVDYDALMRLVDYLLQNNADFLCVLGTTAETPTLTEEEKKTIKKMVIDRVNGRIPILLGVGGNNT 86 
                                        8*************************************************************************** PP

                          TIGR00674  80 eeaieltkeaeklgvdgvlvvtPyYnkPtqeGlykhfkaiaeevelPiilYnvPsRtgvslepetvkrLaeeve.i 154
                                        +  +e  k  + +gvd++l+v+PyYnkP+qeG+y+h+kai e++elPi+lYnvP+Rtgv+++ et++r+a++ + +
  lcl|FitnessBrowser__Btheta:350423  87 RAIVETLKNDDFTGVDAILSVVPYYNKPSQEGIYQHYKAISEATELPIVLYNVPGRTGVNMTAETTLRIARNFSnV 162
                                        ***********************************************************************9988* PP

                          TIGR00674 155 vaiKeasgdlervseikaeakedfkvlsGdDaltleilalGakGviSVasnvapkelkemvkaalegdteeareih 230
                                        +aiKeasg+++++  i++ ++++f+v sGdD +t ++++lGa GviSV++n  p+e++ m + al+gd+++a+ ih
  lcl|FitnessBrowser__Btheta:350423 163 IAIKEASGNITQMDDIIKNKPDNFNVISGDDGITFPLITLGAVGVISVIGNAFPREFSRMTRLALQGDFANALTIH 238
                                        **************************************************************************** PP

                          TIGR00674 231 qkllklfkalfietNPipvKtalallgliekdelRlPLtelseekkeklkevlke 285
                                        +++++lf+ lf++ NP +vK +l+++g+ie+ +lRlPL+++   + e +++vl+e
  lcl|FitnessBrowser__Btheta:350423 239 HRFTELFDLLFVDGNPAGVKSMLNAMGMIEN-KLRLPLVPTRITTFEAIRKVLNE 292
                                        *******************************.*****************999986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (286 nodes)
Target sequences:                          1  (297 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: 7.65
//
[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