GapMind for Amino acid biosynthesis

 

Aligments for a candidate for dapF in Shewanella amazonensis SB2B

Align Diaminopimelate epimerase; DAP epimerase; PLP-independent amino acid racemase; EC 5.1.1.7 (characterized)
to candidate 6939151 Sama_3249 diaminopimelate epimerase (RefSeq)

Query= SwissProt::P0A6K1
         (274 letters)



>lcl|FitnessBrowser__SB2B:6939151 Sama_3249 diaminopimelate
           epimerase (RefSeq)
          Length = 275

 Score =  385 bits (989), Expect = e-112
 Identities = 186/274 (67%), Positives = 216/274 (78%)

Query: 1   MQFSKMHGLGNDFMVVDAVTQNVFFSPELIRRLADRHLGVGFDQLLVVEPPYDPELDFHY 60
           + F+KMHGLGNDFMVVD VTQNVFFSPE IRRLADR+ G+GFDQLL+VEPPYDP+LDFHY
Sbjct: 2   IHFTKMHGLGNDFMVVDGVTQNVFFSPEQIRRLADRNFGIGFDQLLLVEPPYDPDLDFHY 61

Query: 61  RIFNADGSEVAQCGNGARCFARFVRLKGLTNKRDIRVSTANGRMVLTVTDDDLVRVNMGE 120
           RIFNADGSEV QCGNGARCFARFVR KGLT K  I+VST+ G+M L +  D  V VNMG 
Sbjct: 62  RIFNADGSEVEQCGNGARCFARFVRNKGLTQKHKIKVSTSAGKMTLRLERDGGVTVNMGV 121

Query: 121 PNFEPSAVPFRANKAEKTYIMRAAEQTILCGVVSMGNPHCVIQVDDVDTAAVETLGPVLE 180
           P  +P+ +PF+A K EKTY++++A+QT LCG VSMGNPH V++VDD+  A V  +G  L 
Sbjct: 122 PILDPAQIPFKAKKFEKTYLLQSAQQTFLCGAVSMGNPHVVLEVDDITQAPVADVGAQLT 181

Query: 181 SHERFPERANIGFMQVVKREHIRLRVYERGAGETQACGSGACAAVAVGIQQGLLAEEVRV 240
            HERFP+  N+GFMQVV  +HI+LRVYERGA ET ACGSGACAA  VG  QG L   VRV
Sbjct: 182 RHERFPKGVNVGFMQVVAPDHIKLRVYERGAAETLACGSGACAAAVVGQLQGKLGSRVRV 241

Query: 241 ELPGGRLDIAWKGPGHPLYMTGPAVHVYDGFIHL 274
           +LPGG L I W+G G PL+MTGPA  VYDG I L
Sbjct: 242 DLPGGSLTINWEGEGKPLWMTGPAQQVYDGQIQL 275


Lambda     K      H
   0.323    0.140    0.425 

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: 277
Number of extensions: 6
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: 274
Length of database: 275
Length adjustment: 25
Effective length of query: 249
Effective length of database: 250
Effective search space:    62250
Effective search space used:    62250
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.5 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (22.0 bits)
S2: 47 (22.7 bits)

Align candidate 6939151 Sama_3249 (diaminopimelate epimerase (RefSeq))
to HMM TIGR00652 (dapF: diaminopimelate epimerase (EC 5.1.1.7))

# 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/TIGR00652.hmm
# target sequence database:        /tmp/gapView.28644.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00652  [M=270]
Accession:   TIGR00652
Description: DapF: diaminopimelate epimerase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   9.3e-102  326.0   0.0   1.1e-101  325.8   0.0    1.0  1  lcl|FitnessBrowser__SB2B:6939151  Sama_3249 diaminopimelate epimer


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__SB2B:6939151  Sama_3249 diaminopimelate epimerase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  325.8   0.0  1.1e-101  1.1e-101       1     269 [.       2     274 ..       2     275 .] 0.97

  Alignments for each domain:
  == domain 1  score: 325.8 bits;  conditional E-value: 1.1e-101
                         TIGR00652   1 meFlkmhGlgNdFvlvdevdeelvkeeaelvrkvcdrhtgvgaDgvllvep.sseeadvklrifNsDGSeaemCGNg 76 
                                       ++F+kmhGlgNdF++vd v+++++++ +e++r+++dr++g+g+D++llvep ++++ d+++rifN+DGSe+e+CGNg
  lcl|FitnessBrowser__SB2B:6939151   2 IHFTKMHGLGNDFMVVDGVTQNVFFS-PEQIRRLADRNFGIGFDQLLLVEPpYDPDLDFHYRIFNADGSEVEQCGNG 77 
                                       58***********************9.9**********************999************************ PP

                         TIGR00652  77 iRcfakfvyekglkekkelsvetlaglikveveeenkkvkvdmgepkfkkeeipltvekeeekeellalev.l...v 149
                                       +Rcfa+fv++kgl++k++++v+t ag++++ +e+++  v+v+mg p + +++ip++++k+e+++ l+ ++  +   +
  lcl|FitnessBrowser__SB2B:6939151  78 ARCFARFVRNKGLTQKHKIKVSTSAGKMTLRLERDG-GVTVNMGVPILDPAQIPFKAKKFEKTYLLQSAQQtFlcgA 153
                                       ************************************.************************977666655552579* PP

                         TIGR00652 150 vdvGnPHlvvfvedvekldleelgklleaheefpegvNvefvevkkedeiklrvyERGageTlaCGtGavAsavval 226
                                       v++GnPH+v+ v+d+ ++++ ++g++l  he+fp+gvNv f++v+ +d+iklrvyERGa eTlaCG+Ga+A+avv+ 
  lcl|FitnessBrowser__SB2B:6939151 154 VSMGNPHVVLEVDDITQAPVADVGAQLTRHERFPKGVNVGFMQVVAPDHIKLRVYERGAAETLACGSGACAAAVVGQ 230
                                       ***************************************************************************** PP

                         TIGR00652 227 klgktkkkvtvhleggeLeievkedg.kvyltGpavlvlegela 269
                                        +gk+ ++v+v l+gg+L+i+++ +g  +++tGpa++v++g+++
  lcl|FitnessBrowser__SB2B:6939151 231 LQGKLGSRVRVDLPGGSLTINWEGEGkPLWMTGPAQQVYDGQIQ 274
                                       **************************99*************975 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (270 nodes)
Target sequences:                          1  (275 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: 00:00:00.00
# Mc/sec: 9.25
//
[ok]

This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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 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