Alignments for a candidate for arcC in Escherichia coli BW25113

GapMind for catabolism of small carbon sources

Alignments for a candidate for arcC in Escherichia coli BW25113

Align Carbamate kinase; EC 2.7.2.2 (characterized, see rationale)
to candidate 14658 b0521 predicted carbamate kinase (NCBI)

Query= uniprot:P13982
         (310 letters)



>FitnessBrowser__Keio:14658
          Length = 297

 Score =  290 bits (742), Expect = 3e-83
 Identities = 155/299 (51%), Positives = 199/299 (66%), Gaps = 6/299 (2%)

Query: 3   IVVALGGNALLRRGEPMTADNQRENVRIAAEQIAKVAPGNELVIAHGNGPQVGLLALQGA 62
           +VVALGGNALL+RGE +TA+NQ  N+  A   +A++A    L I HGNGPQVGLLALQ  
Sbjct: 4   LVVALGGNALLQRGEALTAENQYRNIASAVPALARLARSYRLAIVHGNGPQVGLLALQNL 63

Query: 63  AYDKVSPYPLDVLGAETEGMIGYMIEQEMGNLLPFEVPFATILTQVEVDGKDPAFQNPTK 122
           A+ +V PYPLDVL AE++GMIGYM+ Q + +  P   P  T+LT++EV   DPAF  P K
Sbjct: 64  AWKEVEPYPLDVLVAESQGMIGYMLAQSL-SAQPQMPPVTTVLTRIEVSPDDPAFLQPEK 122

Query: 123 PIGPVYSREEAERLAAEKGWSIAPDGDKFRRVVPSPRPKRIFEIRPVKWLLEKGTIVICA 182
            IGPVY  EE E L A  GW +  DG   RRVV SP+P++I +   ++ LL++G +VIC+
Sbjct: 123 FIGPVYQPEEQEALEAAYGWQMKRDGKYLRRVVASPQPRKILDSEAIELLLKEGHVVICS 182

Query: 183 GGGGIPTMYDEAGKKLSGVEAVIDKDLCSSLLAQELVADILIIATDVDAAYVDWGKPTQK 242
           GGGG+P   D AG      EAVIDKDL ++LLA+++ AD L+I TD DA Y +WG P Q+
Sbjct: 183 GGGGVPVTDDGAGS-----EAVIDKDLAAALLAEQINADGLVILTDADAVYENWGTPQQR 237

Query: 243 AIAQAHPDELERLGFAAGSMGPKVQAAIEFARATGKDAVIGSLADIVAITEGKAGTRVS 301
           AI  A PDEL     A GSMGP V A   + R+ GK A IG+L+ I     G+AGT +S
Sbjct: 238 AIRHATPDELAPFAKADGSMGPNVTAVSGYVRSRGKPAWIGALSRIEETLAGEAGTCIS 296


Lambda     K      H
   0.317    0.136    0.393 

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: 274
Number of extensions: 12
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: 310
Length of database: 297
Length adjustment: 27
Effective length of query: 283
Effective length of database: 270
Effective search space:    76410
Effective search space used:    76410
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 (21.6 bits)
S2: 48 (23.1 bits)

Align candidate 14658 b0521 (predicted carbamate kinase (NCBI))
to HMM TIGR00746 (arcC: carbamate kinase (EC 2.7.2.2))

# 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.carbon/TIGR00746.hmm
# target sequence database:        /tmp/gapView.3430480.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00746  [M=309]
Accession:   TIGR00746
Description: arcC: carbamate kinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                   -----------
   6.9e-132  425.1   0.0   7.7e-132  424.9   0.0    1.0  1  FitnessBrowser__Keio:14658  


Domain annotation for each sequence (and alignments):
>> FitnessBrowser__Keio:14658  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  424.9   0.0  7.7e-132  7.7e-132       1     308 [.       2     296 ..       2     297 .] 0.98

  Alignments for each domain:
  == domain 1  score: 424.9 bits;  conditional E-value: 7.7e-132
                   TIGR00746   1 kkvvvaLGGnallqrgekasaeeqrknvekaakqlvklakrgyelvithGngPqvGalllqneaadsvpakPldvlgaesqgl 83 
                                 k++vvaLGGnallqrge+++ae+q++n+++a+++l++la+ +y+l+i+hGngPqvG l+lqn a+++v+++Pldvl+aesqg+
  FitnessBrowser__Keio:14658   2 KTLVVALGGNALLQRGEALTAENQYRNIASAVPALARLAR-SYRLAIVHGNGPQVGLLALQNLAWKEVEPYPLDVLVAESQGM 83 
                                 689***********************************99.****************************************** PP

                   TIGR00746  84 iGYllqqalkeelakeglekkvatvltqvivdekDeaFqnPtkpigpfydeeeakrlaaekgailkedagrgwRrvvpsPkPk 166
                                 iGY+l+q+l+ +++   ++ +v+tvlt+++v+++D+aF +P+k+igp+y++ee+++l+a++g+++k+ +g+++Rrvv+sP+P+
  FitnessBrowser__Keio:14658  84 IGYMLAQSLS-AQP---QMPPVTTVLTRIEVSPDDPAFLQPEKFIGPVYQPEEQEALEAAYGWQMKR-DGKYLRRVVASPQPR 161
                                 *********9.444...89************************************************.9************** PP

                   TIGR00746 167 eiveaeviktLvekgvivissgGGGvPvvkdgkelkGveaviDkDlasekLaeevnaDilviltdvdavyvnygkpdekklee 249
                                 +i+++e+i+ L+++g++vi+sgGGGvPv++dg+   G+eaviDkDla+++Lae++naD lviltd+davy+n+g+p+++++++
  FitnessBrowser__Keio:14658 162 KILDSEAIELLLKEGHVVICSGGGGVPVTDDGA---GSEAVIDKDLAAALLAEQINADGLVILTDADAVYENWGTPQQRAIRH 241
                                 *****************************8876...6********************************************** PP

                   TIGR00746 250 vkveeleelakdgefaaGsmgPkveaaiefvesrgkkaiitslekivealegkaGtvvv 308
                                 ++++el+ +a    +a+GsmgP+v+a++ +v+srgk a+i++l++i+e+l+g+aGt+++
  FitnessBrowser__Keio:14658 242 ATPDELAPFA----KADGSMGPNVTAVSGYVRSRGKPAWIGALSRIEETLAGEAGTCIS 296
                                 **********....99*****************************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (309 nodes)
Target sequences:                          1  (297 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: 16.92
//
[ok]

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

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

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 catabolism of small carbon sources