GapMind for Amino acid biosynthesis

 

Alignments for a candidate for trpB in Pseudomonas stutzeri RCH2

Align candidate GFF63 Psest_0063 (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.28154.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   1.2e-198  645.8   0.4   1.4e-198  645.6   0.4    1.0  1  lcl|FitnessBrowser__psRCH2:GFF63  Psest_0063 tryptophan synthase, 


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__psRCH2:GFF63  Psest_0063 tryptophan synthase, beta subunit
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  645.6   0.4  1.4e-198  1.4e-198       1     384 [.      12     395 ..      12     396 .. 0.99

  Alignments for each domain:
  == domain 1  score: 645.6 bits;  conditional E-value: 1.4e-198
                         TIGR00263   1 gkfgefGGqyvpevllealeelekayekakkdeefkkeleellkeyagrptpltfaknlskklggakiylkredllh 77 
                                       g fg+fGGq+v+e+l++ ++el ++yekak+d++f +el ++ ++y gr++pl+fa++l+++ ggakiylkredl+h
  lcl|FitnessBrowser__psRCH2:GFF63  12 GLFGRFGGQFVAETLMPLINELAAEYEKAKSDPAFLEELAYFQRDYIGRASPLYFAERLTEQFGGAKIYLKREDLNH 88 
                                       67*************************************************************************** PP

                         TIGR00263  78 tGahkinnalgqallakrlGkkriiaetGaGqhGvatataaallglecevymGaedverqklnvfrmellgakvvpv 154
                                       tGahkinn +gq+llakr+Gk+riiaetGaG hGvatat+aa++g++c+vymG++d++rq+ nvfrm+llga+v+pv
  lcl|FitnessBrowser__psRCH2:GFF63  89 TGAHKINNCIGQILLAKRMGKQRIIAETGAGMHGVATATVAARFGMQCVVYMGTTDIDRQQANVFRMKLLGAEVIPV 165
                                       ***************************************************************************** PP

                         TIGR00263 155 tsGsktlkdavnealrdWvtsvedthyvlGsavGphPfPeivrefqsvigeevkeqilekegrlPdaviacvGGGsn 231
                                       t G+ tlkda+nealrdWvt+v++t+y++G+a+GphP+P++vr+fqsvig+ev+eqi++kegrlPd ++ac+GGGsn
  lcl|FitnessBrowser__psRCH2:GFF63 166 TAGTGTLKDAMNEALRDWVTNVHNTFYLIGTAAGPHPYPAMVRDFQSVIGNEVREQIMQKEGRLPDSLVACIGGGSN 242
                                       ***************************************************************************** PP

                         TIGR00263 232 aiGifaafiedeeveligveagGkGidtekhaatlskGkeGvlhGaktkllqdedGqieeahsvsaGldypgvgPeh 308
                                       aiG+f++f++de+v+++gvea+G+Gidt khaa+++ G +GvlhG++t llqd dGqi++ahs+saGldypgvgPeh
  lcl|FitnessBrowser__psRCH2:GFF63 243 AIGLFHPFLDDESVQIVGVEAAGHGIDTGKHAASMAGGAPGVLHGNRTFLLQDADGQITDAHSISAGLDYPGVGPEH 319
                                       ***************************************************************************** PP

                         TIGR00263 309 aalaetgraeyeaitdeealealkllskeeGiipalesshalaaleklapklkkdeivvvnlsGrGdkdletvaka 384
                                       a+l+e++r+ey+  td+ealea++++++ eGiipales+hala + k a+kl+kd+++vvnlsGrGdkd++tv+++
  lcl|FitnessBrowser__psRCH2:GFF63 320 AWLHEIKRVEYVPCTDDEALEAFHQCCRLEGIIPALESAHALAEAFKRAAKLPKDHLMVVNLSGRGDKDMQTVMHH 395
                                       *************************************************************************986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (403 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: 10.79
//
[ok]

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Apr 09 2024.

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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:

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