Alignments for a candidate for aroD in Cupriavidus basilensis 4G11

GapMind for Amino acid biosynthesis

Alignments for a candidate for aroD in Cupriavidus basilensis 4G11

Align Catabolic 3-dehydroquinase; cDHQase; 3-dehydroquinate dehydratase; EC 4.2.1.10 (characterized)
to candidate RR42_RS32450 RR42_RS32450 3-dehydroquinate dehydratase

Query= SwissProt::P05147
         (153 letters)



>FitnessBrowser__Cup4G11:RR42_RS32450
          Length = 150

 Score =  189 bits (479), Expect = 2e-53
 Identities = 92/140 (65%), Positives = 109/140 (77%), Gaps = 1/140 (0%)

Query: 3   KSILLINGPNLNLLGTREPHIYGSTTLSDVEESSKGHAASLGASLQTFQSNHEGAIVDRI 62
           KS+L++NGPNLNLLGTREP IYGS TL+DVE S +  A  LG SL  FQSNHEGAIVDRI
Sbjct: 2   KSVLVLNGPNLNLLGTREPQIYGSATLADVEASLRQQAGHLGLSLACFQSNHEGAIVDRI 61

Query: 63  HAARGN-TDAIIINPGAYTHTSVAIRDALLGVEIPFIELHVSNVHAREPFRHHSYFSDKA 121
           HAAR      I+INPGA+THTSVAIRDA  GV IPF+E+H+SNVH RE FRHHSY SD A
Sbjct: 62  HAARTEGVSFILINPGAFTHTSVAIRDAFAGVAIPFVEVHISNVHKREAFRHHSYLSDIA 121

Query: 122 SGIIVGLGVYGYKVAVEHVA 141
             ++ G G+ GY +A++ +A
Sbjct: 122 EAVMAGFGIQGYGLALQFIA 141


Lambda     K      H
   0.317    0.134    0.382 

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: 101
Number of extensions: 3
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: 153
Length of database: 150
Length adjustment: 17
Effective length of query: 136
Effective length of database: 133
Effective search space:    18088
Effective search space used:    18088
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 (21.7 bits)
S2: 42 (20.8 bits)

Align candidate RR42_RS32450 RR42_RS32450 (3-dehydroquinate dehydratase)
to HMM TIGR01088 (aroQ: 3-dehydroquinate dehydratase, type II (EC 4.2.1.10))

# 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/TIGR01088.hmm
# target sequence database:        /tmp/gapView.11990.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01088  [M=141]
Accession:   TIGR01088
Description: aroQ: 3-dehydroquinate dehydratase, type II
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
    5.1e-64  200.3   0.2    5.8e-64  200.1   0.2    1.0  1  lcl|FitnessBrowser__Cup4G11:RR42_RS32450  RR42_RS32450 3-dehydroquinate de


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Cup4G11:RR42_RS32450  RR42_RS32450 3-dehydroquinate dehydratase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  200.1   0.2   5.8e-64   5.8e-64       2     140 ..       4     143 ..       3     144 .. 0.98

  Alignments for each domain:
  == domain 1  score: 200.1 bits;  conditional E-value: 5.8e-64
                                 TIGR01088   2 ilvlnGPnlnlLGkrepkvyGsltleeieelleeaakelevevevfqsnsegelidkihealeq.vdgi 69 
                                               +lvlnGPnlnlLG+rep++yGs tl ++e+ l+++a +l++++ +fqsn+eg ++d+ih a  + v++i
  lcl|FitnessBrowser__Cup4G11:RR42_RS32450   4 VLVLNGPNLNLLGTREPQIYGSATLADVEASLRQQAGHLGLSLACFQSNHEGAIVDRIHAARTEgVSFI 72 
                                               89***********************************************************9888**** PP

                                 TIGR01088  70 vinpaalthtsvalrDalaavslPvvevhlsnvhareefrkksvlaevakGvivGlGakgyklalealv 138
                                               +inp+a+thtsva+rDa a v++P+vevh+snvh+re fr++s+l+++a+ v+ G+G++gy lal++++
  lcl|FitnessBrowser__Cup4G11:RR42_RS32450  73 LINPGAFTHTSVAIRDAFAGVAIPFVEVHISNVHKREAFRHHSYLSDIAEAVMAGFGIQGYGLALQFIA 141
                                               ******************************************************************998 PP

                                 TIGR01088 139 ea 140
                                                +
  lcl|FitnessBrowser__Cup4G11:RR42_RS32450 142 AK 143
                                               65 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (141 nodes)
Target sequences:                          1  (150 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: 0.00u 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 6.65
//
[ok]

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

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer
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

GapMind for Amino acid biosynthesis