GapMind for Amino acid biosynthesis

 

Aligments for a candidate for dapB in Caulobacter crescentus NA1000

Align dihydrodipicolinate reductase; EC 1.3.1.26 (characterized)
to candidate CCNA_03664 CCNA_03664 dihydrodipicolinate reductase

Query= CharProtDB::CH_002128
         (273 letters)



>lcl|FitnessBrowser__Caulo:CCNA_03664 CCNA_03664 dihydrodipicolinate
           reductase
          Length = 257

 Score =  181 bits (458), Expect = 2e-50
 Identities = 108/265 (40%), Positives = 151/265 (56%), Gaps = 18/265 (6%)

Query: 6   IRVAIAGAGGRMGRQLIQAALALEGVQLGAALEREGSSLLGSDAGELAGAGKTGVTVQSS 65
           +++AIAGA GRMGR + QA        + A  ER G      DAGE   A +T +    +
Sbjct: 5   VKIAIAGANGRMGRAVAQALEGRSDAVVAARFERPG------DAGEGLVARETALAAAEA 58

Query: 66  LDAVKDDFDVFIDFTRPEGTLNHLAFCRQHG-KGMVIGTTGFDEAGKQAIRDAAADIAIV 124
           +          IDFT PE ++        +G   +VIG+TGF +     I  AA  I IV
Sbjct: 59  V----------IDFTLPEASVALAEEAAANGGPALVIGSTGFSDEQLDRIDAAATKIVIV 108

Query: 125 FAANFSVGVNVMLKLLEKAAKVM-GDYTDIEIIEAHHRHKVDAPSGTALAMGEAIAHALD 183
            + N+S+GVN+++ L+ +AA  +     DIE+ EAHH+ K+DAPSGTAL +GEA A    
Sbjct: 109 RSGNYSLGVNMLMGLVRQAAAALPAQDWDIEVFEAHHKRKIDAPSGTALMLGEAAAEGRG 168

Query: 184 KDLKDCAVYSREGHTGERVPGTIGFATVRAGDIVGEHTAMFADIGERLEITHKASSRMTF 243
            +L   +   R+G TG R  G IGF+ VR G I+GEH+ +FA   E L ++H A  R  F
Sbjct: 169 INLAKVSDRGRDGVTGPRKDGDIGFSVVRGGGIIGEHSVIFAGESESLTLSHSAIDRGLF 228

Query: 244 ANGAVRSALWLSGKESGLFDMRDVL 268
           A GA+ +A+W+ GK  GL+DM+DVL
Sbjct: 229 ARGAIAAAVWVKGKPPGLYDMQDVL 253


Lambda     K      H
   0.319    0.135    0.383 

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: 214
Number of extensions: 21
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: 273
Length of database: 257
Length adjustment: 25
Effective length of query: 248
Effective length of database: 232
Effective search space:    57536
Effective search space used:    57536
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: 47 (22.7 bits)

Align candidate CCNA_03664 CCNA_03664 (dihydrodipicolinate reductase)
to HMM TIGR00036 (dapB: 4-hydroxy-tetrahydrodipicolinate reductase (EC 1.17.1.8))

# 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/TIGR00036.hmm
# target sequence database:        /tmp/gapView.27155.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00036  [M=270]
Accession:   TIGR00036
Description: dapB: 4-hydroxy-tetrahydrodipicolinate reductase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
    7.8e-70  221.4   0.7      3e-68  216.3   0.7    2.0  1  lcl|FitnessBrowser__Caulo:CCNA_03664  CCNA_03664 dihydrodipicolinate r


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Caulo:CCNA_03664  CCNA_03664 dihydrodipicolinate reductase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  216.3   0.7     3e-68     3e-68       2     270 .]       5     254 ..       4     254 .. 0.92

  Alignments for each domain:
  == domain 1  score: 216.3 bits;  conditional E-value: 3e-68
                             TIGR00036   2 ikvavaGaaGrmGrevikavkeaedlelvaalerkgsskqgkDiGelagigkvgvpveddleavkvlaekkad 74 
                                           +k+a+aGa GrmGr v +a++   d  ++a +er        D+Ge      v    e++l         +a+
  lcl|FitnessBrowser__Caulo:CCNA_03664   5 VKIAIAGANGRMGRAVAQALEGRSDAVVAARFER------PGDAGEGL----VAR--ETAL--------AAAE 57 
                                           69***********************999999996......34767622....222..2222........3568 PP

                             TIGR00036  75 vliDfttpeavlenvkialek.gvrlVvGTTGfseedlkelkdlaekkgvalviapNfaiGvnlllkllekaa 146
                                            +iDft+pea +  ++ a+++ g  lV+G TGfs+e+l ++ ++a k  + +v + N+++Gvn+l+ l+++aa
  lcl|FitnessBrowser__Caulo:CCNA_03664  58 AVIDFTLPEASVALAEEAAANgGPALVIGSTGFSDEQLDRIDAAATK--IVIVRSGNYSLGVNMLMGLVRQAA 128
                                           99***********998777662679**********************..***********************9 PP

                             TIGR00036 147 kvl..edvDiEiiElHHrhKkDaPSGTAlklaeiiakargkdlkeaaveeregltGerkkeeiGiaavRggdv 217
                                             l  +d+DiE+ E+HH+ K DaPSGTAl l+e+ a+ rg +l ++   +r+g+tG rk+ +iG++ vRgg++
  lcl|FitnessBrowser__Caulo:CCNA_03664 129 AALpaQDWDIEVFEAHHKRKIDAPSGTALMLGEAAAEGRGINLAKVSDRGRDGVTGPRKDGDIGFSVVRGGGI 201
                                           99866899********************************99******************************* PP

                             TIGR00036 218 vgehtvlFasdGerleitHkassRaafakGvvrairwledkeekvydledvld 270
                                           +geh+v+Fa++ e l+++H a +R  fa+G++ a+ w++ k  ++yd++dvl+
  lcl|FitnessBrowser__Caulo:CCNA_03664 202 IGEHSVIFAGESESLTLSHSAIDRGLFARGAIAAAVWVKGKPPGLYDMQDVLG 254
                                           ***************************************************96 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (270 nodes)
Target sequences:                          1  (257 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: 0.04u 0.00s 00:00:00.04 Elapsed: 00:00:00.04
# Mc/sec: 1.61
//
[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