Alignments for a candidate for tpiA in Sulfurihydrogenibium azorense Az-Fu1

GapMind for Amino acid biosynthesis

Alignments for a candidate for tpiA in Sulfurihydrogenibium azorense Az-Fu1

Align Triosephosphate isomerase; TIM; TPI; Triose-phosphate isomerase; EC 5.3.1.1 (characterized)
to candidate WP_012673751.1 SULAZ_RS07450 triose-phosphate isomerase

Query= SwissProt::Q4MQ55
         (251 letters)



>NCBI__GCF_000021545.1:WP_012673751.1
          Length = 250

 Score =  212 bits (539), Expect = 7e-60
 Identities = 108/243 (44%), Positives = 156/243 (64%), Gaps = 2/243 (0%)

Query: 5   IIAGNWKMNKTLSEAVSFVEEVKGQIPAASAVDAVVCSPALFLERLVAATEGTDLQVGAQ 64
           +IA NWKMNKT++E++ ++E  K  +     V+ ++      L  +    E T++ +GAQ
Sbjct: 4   LIAANWKMNKTVAESIDYIEIFKDLVKEVEGVEIMIAPSFTALSSVSILLEKTNISLGAQ 63

Query: 65  NMHFEKNGAFTGEISPVALSDLKVGYVVLGHSERREMFAETDESVNKKTIAAFEHGLTPI 124
           NM + + GA+TGEISP+ L++L V YV+LGHSERR +F E DE +NKK + A E GL PI
Sbjct: 64  NMFYVERGAYTGEISPIMLTELNVKYVILGHSERRHIFGEKDELINKKVLTAVEFGLRPI 123

Query: 125 VCCGETLEERESGKTFDLVAGQVTKALAGLTEEQVKATVIAYEPIWAIGTGKSSSSADAN 184
           +C GETLEERE GKT ++V  Q+   +AGL E ++    IAYEP+WAIGTG +++   A 
Sbjct: 124 LCVGETLEERELGKTMNVVERQIRAGIAGL-EREISLIDIAYEPVWAIGTGVNATVEQAQ 182

Query: 185 EVCAHIRKVVAEAVSPEAAEAVRIQYGGSVKPENIKEYMAQSDIDGALVGGASLEPASFL 244
           EV   IR ++ + +S    +  RI YGGSV  +N  E +   D++G LVG ASL+P  F 
Sbjct: 183 EVHHFIRNLIND-ISKGNDKDTRILYGGSVNEKNASELIKAPDVEGFLVGTASLDPQKFY 241

Query: 245 GLL 247
            ++
Sbjct: 242 KII 244


Lambda     K      H
   0.313    0.129    0.360 

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: 168
Number of extensions: 8
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: 251
Length of database: 250
Length adjustment: 24
Effective length of query: 227
Effective length of database: 226
Effective search space:    51302
Effective search space used:    51302
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.2 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 42 (21.9 bits)
S2: 46 (22.3 bits)

Align candidate WP_012673751.1 SULAZ_RS07450 (triose-phosphate isomerase)
to HMM TIGR00419 (tpiA: triose-phosphate isomerase (EC 5.3.1.1))

# 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/TIGR00419.hmm
# target sequence database:        /tmp/gapView.25505.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00419  [M=228]
Accession:   TIGR00419
Description: tim: triose-phosphate isomerase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
    1.8e-66  210.2   0.4    2.1e-66  210.0   0.4    1.0  1  lcl|NCBI__GCF_000021545.1:WP_012673751.1  SULAZ_RS07450 triose-phosphate i


Domain annotation for each sequence (and alignments):
>> lcl|NCBI__GCF_000021545.1:WP_012673751.1  SULAZ_RS07450 triose-phosphate isomerase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  210.0   0.4   2.1e-66   2.1e-66       1     227 [.       4     237 ..       4     238 .. 0.95

  Alignments for each domain:
  == domain 1  score: 210.0 bits;  conditional E-value: 2.1e-66
                                 TIGR00419   1 lviinfKlnesvgkvelevaklaeevaseagvevavappfvdldvvkdeve.seiqvaAqnvdavksGa 68 
                                               l+  n+K+n +v +    +   ++ v +++gve+ +ap+f  l+ v+  +e ++i+++Aqn+  v+ Ga
  lcl|NCBI__GCF_000021545.1:WP_012673751.1   4 LIAANWKMNKTVAESIDYIEIFKDLVKEVEGVEIMIAPSFTALSSVSILLEkTNISLGAQNMFYVERGA 72 
                                               6889****************9999***********************9999899*************** PP

                                 TIGR00419  69 ftGeisAemlkdlGakgvligHsErRsllkeadeliekkvarlkelglksvvCvgetleereaartinn 137
                                               +tGeis  ml +l +k+v++gHsErR ++ e deli+kkv ++ e gl++++Cvgetleere ++t+n+
  lcl|NCBI__GCF_000021545.1:WP_012673751.1  73 YTGEISPIMLTELNVKYVILGHSERRHIFGEKDELINKKVLTAVEFGLRPILCVGETLEERELGKTMNV 141
                                               ********************************************************************* PP

                                 TIGR00419 138 vattaaa.aA.....lepdvvAvEPveliGtGkpvskAeaevveksvrdhlkkvskevaesvrvlyGas 200
                                               v ++  a +A     ++   +A+EPv++iGtG+ ++  +a++v++++r+ ++ +sk   +++r+lyG+s
  lcl|NCBI__GCF_000021545.1:WP_012673751.1 142 VERQIRAgIAglereISLIDIAYEPVWAIGTGVNATVEQAQEVHHFIRNLINDISKGNDKDTRILYGGS 210
                                               *99865535576655555669************************************************ PP

                                 TIGR00419 201 vtaaedaelaaqldvdGvLlasavlka 227
                                               v+++++ el+  +dv+G+L+++a+l +
  lcl|NCBI__GCF_000021545.1:WP_012673751.1 211 VNEKNASELIKAPDVEGFLVGTASLDP 237
                                               ************************976 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (228 nodes)
Target sequences:                          1  (250 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: 7.87
//
[ok]

This GapMind analysis is from Apr 10 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