Alignments for a candidate for cysE in Salinicoccus carnicancri Crm

GapMind for Amino acid biosynthesis

Alignments for a candidate for cysE in Salinicoccus carnicancri Crm

Align Serine acetyltransferase; SAT; EC 2.3.1.30 (characterized)
to candidate WP_017549984.1 C792_RS0113455 serine O-acetyltransferase

Query= SwissProt::Q06750
         (217 letters)



>NCBI__GCF_000330705.1:WP_017549984.1
          Length = 218

 Score =  275 bits (704), Expect = 4e-79
 Identities = 134/212 (63%), Positives = 163/212 (76%), Gaps = 2/212 (0%)

Query: 3   FRMLKEDIDTVFDQDPAARSYFEVILTYSGLHAIWAHRIAHALYKRKFYFLARLISQVSR 62
           FR + EDID V + DPAA++  EV  TYSGLHA+W+H +AH LY++ F   AR+ISQVSR
Sbjct: 2   FRRINEDIDMVLELDPAAKNRLEVFFTYSGLHAVWSHLLAHRLYRKNFTTSARIISQVSR 61

Query: 63  FFTGIEIHPGATIGRRFFIDHGMGVVIGETCEIGNNVTVFQGVTLGGTGKEKGKRHPTIK 122
           F TGIEIHPGA +GRR FIDHGMG VIGETC IGNNVT++QGVTLGGTGKE+ KRHP + 
Sbjct: 62  FVTGIEIHPGAQVGRRLFIDHGMGTVIGETCRIGNNVTIYQGVTLGGTGKEEKKRHPDVD 121

Query: 123 DDALIATGAKVLGSITVGEGSKIGAGSVVLHDVPDFSTVVGIPGRVVVQNGKKVR--RDL 180
           D+ LIA GAKVLG+I + E SK+GA SVVL+DVP  STVVGIPG VV Q G+KV+  RDL
Sbjct: 122 DNVLIAAGAKVLGNIRIRENSKVGANSVVLYDVPKDSTVVGIPGHVVKQAGEKVKNARDL 181

Query: 181 NHQDLPDPVADRFKSLEQQILELKAELEDRKE 212
           N  DLPDP+ D    LE +I + ++E+ +  E
Sbjct: 182 NQTDLPDPILDMILGLEDEIKDFRSEVRNEVE 213


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: 207
Number of extensions: 7
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: 218
Length adjustment: 22
Effective length of query: 195
Effective length of database: 196
Effective search space:    38220
Effective search space used:    38220
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: 45 (21.9 bits)

Align candidate WP_017549984.1 C792_RS0113455 (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.2800565.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
    1.4e-77  245.4   0.7    1.6e-77  245.1   0.7    1.1  1  NCBI__GCF_000330705.1:WP_017549984.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000330705.1:WP_017549984.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  245.1   0.7   1.6e-77   1.6e-77       1     161 [.       5     165 ..       5     166 .. 0.99

  Alignments for each domain:
  == domain 1  score: 245.1 bits;  conditional E-value: 1.6e-77
                             TIGR01172   1 ikedlkavlerDPaaesalevlllykglhallayrlahalykrklkllarllselvrvltgvdihPaakigrg 73 
                                           i+ed+++vle DPaa+++lev+++y+glha++++ lah+ly++++ + ar++s+++r++tg++ihP+a++gr+
  NCBI__GCF_000330705.1:WP_017549984.1   5 INEDIDMVLELDPAAKNRLEVFFTYSGLHAVWSHLLAHRLYRKNFTTSARIISQVSRFVTGIEIHPGAQVGRR 77 
                                           689********************************************************************** PP

                             TIGR01172  74 vliDhatGvviGetavigddvsiyqgvtLGgtgkekgkRhPtvkegvvigagakvLGnievgenakiGansvv 146
                                           ++iDh++G viGet+ ig++v+iyqgvtLGgtgke+ kRhP+v ++v+i+agakvLGni++ en+k+Gansvv
  NCBI__GCF_000330705.1:WP_017549984.1  78 LFIDHGMGTVIGETCRIGNNVTIYQGVTLGGTGKEEKKRHPDVDDNVLIAAGAKVLGNIRIRENSKVGANSVV 150
                                           ************************************************************************* PP

                             TIGR01172 147 lkdvpaeatvvGvpa 161
                                           l dvp+++tvvG+p+
  NCBI__GCF_000330705.1:WP_017549984.1 151 LYDVPKDSTVVGIPG 165
                                           **************8 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (162 nodes)
Target sequences:                          1  (218 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: 11.03
//
[ok]

This GapMind analysis is from Jul 26 2024. The underlying query database was built on Jul 25 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 2024 update 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 original 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