GapMind for Amino acid biosynthesis

 

Aligments for a candidate for trpB in Desulfovibrio vulgaris Hildenborough

Align candidate 209406 DVU0470 (tryptophan synthase, beta subunit)
to HMM TIGR00263 (trpB: tryptophan synthase, beta subunit (EC 4.2.1.20))

# 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/TIGR00263.hmm
# target sequence database:        /tmp/gapView.29834.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00263  [M=385]
Accession:   TIGR00263
Description: trpB: tryptophan synthase, beta subunit
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                       -----------
   6.2e-180  584.2   0.0     7e-180  584.1   0.0    1.0  1  lcl|MicrobesOnline__882:209406  DVU0470 tryptophan synthase, bet


Domain annotation for each sequence (and alignments):
>> lcl|MicrobesOnline__882:209406  DVU0470 tryptophan synthase, beta subunit
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  584.1   0.0    7e-180    7e-180       1     384 [.       4     386 ..       4     387 .. 0.99

  Alignments for each domain:
  == domain 1  score: 584.1 bits;  conditional E-value: 7e-180
                       TIGR00263   1 gkfgefGGqyvpevllealeelekayekakkdeefkkeleellkeyagrptpltfaknlskklggakiylkredllhtG 79 
                                     g+fg+fGG++vpe l++ l e+e+a +++   ++f++el++ll+++agr+tplt +++ls++lg + ++lkredllhtG
  lcl|MicrobesOnline__882:209406   4 GYFGDFGGRFVPELLMPPLMEIEAAMRDIMPTQAFRHELDDLLHNFAGRETPLTRCDTLSRELG-CTLWLKREDLLHTG 81 
                                     79*************************************************************8.************** PP

                       TIGR00263  80 ahkinnalgqallakrlGkkriiaetGaGqhGvatataaallglecevymGaedverqklnvfrmellgakvvpvtsGs 158
                                     ahk+nn+lgqalla+r+Gk+r++aetGaGqhGvata+aaa+lgl+c v+mGa dverq+ nv+rm+llga+vvpv+sG+
  lcl|MicrobesOnline__882:209406  82 AHKVNNTLGQALLARRMGKTRLVAETGAGQHGVATAAAAARLGLSCIVFMGAVDVERQSANVMRMKLLGAEVVPVESGT 160
                                     ******************************************************************************* PP

                       TIGR00263 159 ktlkdavnealrdWvtsvedthyvlGsavGphPfPeivrefqsvigeevkeqilekegrlPdaviacvGGGsnaiGifa 237
                                     +tlkda+ne+lr W+++  +thy+ G+a+GphPfP++vr+fq+vig+e+++q+le+ g lPd+v+acvGGGsnaiG+f+
  lcl|MicrobesOnline__882:209406 161 RTLKDAINETLRYWIAEQGSTHYCFGTAAGPHPFPTLVRDFQAVIGHETRRQMLERTGALPDMVVACVGGGSNAIGMFH 239
                                     ******************************************************************************* PP

                       TIGR00263 238 afiedeeveligveagGkGidtekhaatlskGkeGvlhGaktkllqdedGqieeahsvsaGldypgvgPehaalaetgr 316
                                     af++d +v+++gvea+G+G     ++a ++ G++GvlhG++t+llqd dGqi ++hsvsaGldypgvgPeha+l  tgr
  lcl|MicrobesOnline__882:209406 240 AFVDDADVRIVGVEAAGTGEPGCYNSAPINLGSPGVLHGNRTMLLQDGDGQILPSHSVSAGLDYPGVGPEHAHLGATGR 318
                                     ******************************************************************************* PP

                       TIGR00263 317 aeyeaitdeealealkllskeeGiipalesshalaaleklapklkkdeivvvnlsGrGdkdletvaka 384
                                     + y  +td++al+a+k+l++ eGiipalessha+a + +    l++   vvvnlsGrGdkd++ v+++
  lcl|MicrobesOnline__882:209406 319 VVYGMVTDTQALAAFKALTRAEGIIPALESSHAVAWVLENPHLLPQGGNVVVNLSGRGDKDMDIVREH 386
                                     ****************************************************************9986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (395 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: 00:00:00.02
# Mc/sec: 7.00
//
[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 against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer. 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. 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 preprint 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