Alignments for a candidate for cysE in Marinobacter adhaerens HP15

GapMind for Amino acid biosynthesis

Alignments for a candidate for cysE in Marinobacter adhaerens HP15

Align Serine acetyltransferase; SAT; EC 2.3.1.30 (characterized)
to candidate GFF1521 HP15_1485 serine O-acetyltransferase

Query= SwissProt::Q06750
         (217 letters)



>FitnessBrowser__Marino:GFF1521
          Length = 257

 Score =  217 bits (553), Expect = 1e-61
 Identities = 116/225 (51%), Positives = 154/225 (68%), Gaps = 17/225 (7%)

Query: 3   FRMLKEDIDTVFDQDPAARSYFEVILTYSGLHAIWAHRIAHALYKRKFYFLARLISQVSR 62
           F  L+EDI++VF +DPAAR+ FEV+  Y GLHA+  HR +H L+     +LAR IS ++R
Sbjct: 2   FERLREDINSVFHRDPAARNTFEVLTNYPGLHALLFHRFSHWLWSLGLKWLARTISTIAR 61

Query: 63  FFTGIEIHPGATIGRRFFIDHGMGVVIGETCEIGNNVTVFQGVTLGGTGKEKGKRHPTIK 122
           + TGIEIHPGATIGRRFFIDHGMGVVIGET  IG++VT++QGVTLGGT   KGKRHPTI 
Sbjct: 62  WLTGIEIHPGATIGRRFFIDHGMGVVIGETTVIGDDVTLYQGVTLGGTSWNKGKRHPTIG 121

Query: 123 DDALIATGAKVLGSITVGEGSKIGAGSVVLHDVPDFSTVVGIPGRVVVQ---NGKKVRRD 179
           +  ++  GAK+LG   VG G+KIG+ SVV   VP+ +TVVGIPGRV+V+        R++
Sbjct: 122 NSVVVGAGAKILGPFEVGAGAKIGSNSVVTKAVPEGATVVGIPGRVIVKRQGEDDARRKE 181

Query: 180 LNH----------QDLPDPVADRFKSLEQQILELKAELEDRKERI 214
           +            +++PDPVA   +SL    L+    ++DR E +
Sbjct: 182 MEERMGFDAYGVTEEMPDPVARAMRSL----LDHMHAVDDRIENM 222


Lambda     K      H
   0.323    0.141    0.413 

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: 245
Number of extensions: 10
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: 217
Length of database: 257
Length adjustment: 23
Effective length of query: 194
Effective length of database: 234
Effective search space:    45396
Effective search space used:    45396
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.9 bits)
S2: 46 (22.3 bits)

Align candidate GFF1521 HP15_1485 (serine O-acetyltransferase)
to HMM TIGR01172 (cysE: serine O-acetyltransferase (EC 2.3.1.30))

# 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/TIGR01172.hmm
# target sequence database:        /tmp/gapView.26827.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01172  [M=162]
Accession:   TIGR01172
Description: cysE: serine O-acetyltransferase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
    7.7e-81  256.0   0.3    9.8e-81  255.6   0.3    1.1  1  lcl|FitnessBrowser__Marino:GFF1521  HP15_1485 serine O-acetyltransfe


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Marino:GFF1521  HP15_1485 serine O-acetyltransferase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  255.6   0.3   9.8e-81   9.8e-81       2     162 .]       6     166 ..       5     166 .. 0.99

  Alignments for each domain:
  == domain 1  score: 255.6 bits;  conditional E-value: 9.8e-81
                           TIGR01172   2 kedlkavlerDPaaesalevlllykglhallayrlahalykrklkllarllselvrvltgvdihPaakigrgvli 76 
                                         +ed+++v++rDPaa++++evl +y+glhall +r++h+l++ +lk+lar +s+++r+ltg++ihP+a+igr+++i
  lcl|FitnessBrowser__Marino:GFF1521   6 REDINSVFHRDPAARNTFEVLTNYPGLHALLFHRFSHWLWSLGLKWLARTISTIARWLTGIEIHPGATIGRRFFI 80 
                                         79************************************************************************* PP

                           TIGR01172  77 DhatGvviGetavigddvsiyqgvtLGgtgkekgkRhPtvkegvvigagakvLGnievgenakiGansvvlkdvp 151
                                         Dh++GvviGet+vigddv++yqgvtLGgt+++kgkRhPt+++ vv+gagak+LG++evg++akiG+nsvv+k vp
  lcl|FitnessBrowser__Marino:GFF1521  81 DHGMGVVIGETTVIGDDVTLYQGVTLGGTSWNKGKRHPTIGNSVVVGAGAKILGPFEVGAGAKIGSNSVVTKAVP 155
                                         *************************************************************************** PP

                           TIGR01172 152 aeatvvGvpar 162
                                         ++atvvG+p+r
  lcl|FitnessBrowser__Marino:GFF1521 156 EGATVVGIPGR 166
                                         *********97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (162 nodes)
Target sequences:                          1  (257 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: 9.29
//
[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:

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