GapMind for catabolism of small carbon sources

 

Alignments for a candidate for arcC in Pseudomonas putida KT2440

Align Carbamate kinase; EC 2.7.2.2 (characterized, see rationale)
to candidate PP_0999 PP_0999 carbamate kinase

Query= uniprot:P13982
         (310 letters)



>FitnessBrowser__Putida:PP_0999
          Length = 309

 Score =  493 bits (1268), Expect = e-144
 Identities = 247/310 (79%), Positives = 272/310 (87%), Gaps = 1/310 (0%)

Query: 1   MRIVVALGGNALLRRGEPMTADNQRENVRIAAEQIAKVAPGNELVIAHGNGPQVGLLALQ 60
           MRIVVALGGNALLRRGEPMTADNQR N+R A EQIAK+ PGNELVIAHGNGPQVGLL+LQ
Sbjct: 1   MRIVVALGGNALLRRGEPMTADNQRANIRTATEQIAKIHPGNELVIAHGNGPQVGLLSLQ 60

Query: 61  GAAYDKVSPYPLDVLGAETEGMIGYMIEQEMGNLLPFEVPFATILTQVEVDGKDPAFQNP 120
             +Y     YPLDVLGAETEGMIGYMIEQE+GNLL FEVPFAT+LTQVEVD  DPAF++P
Sbjct: 61  ALSYKPDEAYPLDVLGAETEGMIGYMIEQELGNLLAFEVPFATLLTQVEVDANDPAFKDP 120

Query: 121 TKPIGPVYSREEAERLAAEKGWSIAPDGDKFRRVVPSPRPKRIFEIRPVKWLLEKGTIVI 180
           TK IGPVYS+EEAERLA EKGW +  DGDK+RRVV SP+PKRIFEIRP+KWLLEK +IVI
Sbjct: 121 TKFIGPVYSKEEAERLAKEKGWVVKADGDKYRRVVASPKPKRIFEIRPIKWLLEKSSIVI 180

Query: 181 CAGGGGIPTMYDEAGKKLSGVEAVIDKDLCSSLLAQELVADILIIATDVDAAYVDWGKPT 240
           CAGGGGIPTMYDE  +KL G+EAVIDKDLCS+LLA++L AD+LIIATDVDAAY+DWGKPT
Sbjct: 181 CAGGGGIPTMYDE-NRKLKGIEAVIDKDLCSALLAEQLEADLLIIATDVDAAYIDWGKPT 239

Query: 241 QKAIAQAHPDELERLGFAAGSMGPKVQAAIEFARATGKDAVIGSLADIVAITEGKAGTRV 300
           +KAIAQAHPD LE LGFAAGSMGPKVQAA +FAR TGK AVI SL +I  I +GKAGTRV
Sbjct: 240 RKAIAQAHPDALETLGFAAGSMGPKVQAACDFARNTGKVAVISSLENIEDIVKGKAGTRV 299

Query: 301 STRKAGIEYR 310
           ST K GI YR
Sbjct: 300 STEKPGISYR 309


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: 381
Number of extensions: 11
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: 309
Length adjustment: 27
Effective length of query: 283
Effective length of database: 282
Effective search space:    79806
Effective search space used:    79806
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 PP_0999 PP_0999 (carbamate kinase)
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.11054.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
     1e-133  431.1   0.1   1.2e-133  430.9   0.1    1.0  1  lcl|FitnessBrowser__Putida:PP_0999  PP_0999 carbamate kinase


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Putida:PP_0999  PP_0999 carbamate kinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  430.9   0.1  1.2e-133  1.2e-133       1     308 [.       1     300 [.       1     301 [. 0.98

  Alignments for each domain:
  == domain 1  score: 430.9 bits;  conditional E-value: 1.2e-133
                           TIGR00746   1 kkvvvaLGGnallqrgekasaeeqrknvekaakqlvklakrgyelvithGngPqvGalllqneaadsvpakPldv 75 
                                         +++vvaLGGnall+rge ++a++qr n+++a++q++k++  g+elvi+hGngPqvG l lq   ++  +a+Pldv
  lcl|FitnessBrowser__Putida:PP_0999   1 MRIVVALGGNALLRRGEPMTADNQRANIRTATEQIAKIHP-GNELVIAHGNGPQVGLLSLQALSYKPDEAYPLDV 74 
                                         589*************************************.********************************** PP

                           TIGR00746  76 lgaesqgliGYllqqalkeelakeglekkvatvltqvivdekDeaFqnPtkpigpfydeeeakrlaaekgailke 150
                                         lgae++g+iGY+++q+l + la   +e ++at+ltqv+vd++D+aF++Ptk+igp+y++eea+rla+ekg+ +k 
  lcl|FitnessBrowser__Putida:PP_0999  75 LGAETEGMIGYMIEQELGNLLA---FEVPFATLLTQVEVDANDPAFKDPTKFIGPVYSKEEAERLAKEKGWVVKA 146
                                         **********************...************************************************99 PP

                           TIGR00746 151 dagrgwRrvvpsPkPkeiveaeviktLvekgvivissgGGGvPvvkdgke.lkGveaviDkDlasekLaeevnaD 224
                                          +g+++Rrvv+sPkPk+i+e++ ik+L+ek  ivi++gGGG+P+++d+++ lkG+eaviDkDl+s++Lae+++aD
  lcl|FitnessBrowser__Putida:PP_0999 147 -DGDKYRRVVASPKPKRIFEIRPIKWLLEKSSIVICAGGGGIPTMYDENRkLKGIEAVIDKDLCSALLAEQLEAD 220
                                         .9******************************************9987655************************ PP

                           TIGR00746 225 ilviltdvdavyvnygkpdekkleevkveeleelakdgefaaGsmgPkveaaiefvesrgkkaiitslekiveal 299
                                          l+i+tdvda+y+++gkp+ k++++++++ le+l     faaGsmgPkv+aa +f++++gk a+i+sle+i++++
  lcl|FitnessBrowser__Putida:PP_0999 221 LLIIATDVDAAYIDWGKPTRKAIAQAHPDALETLG----FAAGSMGPKVQAACDFARNTGKVAVISSLENIEDIV 291
                                         ***********************************....************************************ PP

                           TIGR00746 300 egkaGtvvv 308
                                         +gkaGt+v+
  lcl|FitnessBrowser__Putida:PP_0999 292 KGKAGTRVS 300
                                         *******97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (309 nodes)
Target sequences:                          1  (309 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 0.01s 00:00:00.02 Elapsed: 00:00:00.01
# Mc/sec: 7.22
//
[ok]

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

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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:

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:

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:

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:

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