Alignments for a candidate for deoK in Ochrobactrum thiophenivorans DSM 7216

GapMind for catabolism of small carbon sources

Alignments for a candidate for deoK in Ochrobactrum thiophenivorans DSM 7216

Align deoxyribokinase monomer (EC 2.7.1.229) (characterized)
to candidate WP_094506690.1 CEV31_RS08740 ribokinase

Query= metacyc::MONOMER-20827
         (306 letters)



>NCBI__GCF_002252445.1:WP_094506690.1
          Length = 312

 Score =  355 bits (911), Expect = e-103
 Identities = 171/299 (57%), Positives = 230/299 (76%)

Query: 3   IAVIGSNMVDLITYTNQMPKEGETLEAPAFKIGCGGKGANQAVAAAKLNSKVLMLTKVGD 62
           I V+GSNMVDLITY N+MP  GETLEAP F+IGCGGKGANQAVAAA+L + V+M+T+VGD
Sbjct: 5   IGVVGSNMVDLITYVNRMPGPGETLEAPTFEIGCGGKGANQAVAAARLGADVMMVTRVGD 64

Query: 63  DIFADNTIRNLESWGINTTYVEKVPCTSSGVAPIFVNANSSNSILIIKGANKFLSPEDID 122
           D+FADNTIRNL ++G++T +V K+   SSGVAPIFV  +  NSILI+KGAN  L P ++D
Sbjct: 65  DVFADNTIRNLNNFGVDTRHVVKISGKSSGVAPIFVEPSGENSILIVKGANADLLPAEVD 124

Query: 123 RAAEDLKKCQLIVLQLEVQLETVYHAIEFGKKHGIEVLLNPAPALRELDMSYACKCDFFV 182
           +A+EDLK C LI++Q+EV +ETVYH I F  ++GIE +LNPAPA  +LD     +  F V
Sbjct: 125 KASEDLKTCGLILMQMEVPVETVYHTISFAAENGIETILNPAPAAADLDPERIRQVTFLV 184

Query: 183 PNETELEILTGMPVDTYDHIRAAARSLVDKGLNNIIVTMGEKGALWMTRDQEVHVPAFRV 242
           PNE+EL +L+G+P DT D I  AARSL+++G+  +IVT+G +GA  +T ++ V++P  +V
Sbjct: 185 PNESELALLSGLPTDTNDEIVIAARSLIERGIRTVIVTLGGRGARMITANEIVNIPPVKV 244

Query: 243 NAVDTSGAGDAFIGCFAHYYVQSGDVEAAMKKAVLFAAFSVTGKGTQSSYPSIEQFNEY 301
              DT+GAGDAFIG FA +Y ++G+VEA++KKA L+AA S+T  GTQ +Y S E+F  +
Sbjct: 245 TPKDTTGAGDAFIGSFARFYAETGEVEASLKKAALYAAHSITRPGTQKAYASAEEFETF 303


Lambda     K      H
   0.318    0.134    0.385 

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: 303
Number of extensions: 8
Number of successful extensions: 1
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: 306
Length of database: 312
Length adjustment: 27
Effective length of query: 279
Effective length of database: 285
Effective search space:    79515
Effective search space used:    79515
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 (21.7 bits)
S2: 48 (23.1 bits)

Align candidate WP_094506690.1 CEV31_RS08740 (ribokinase)
to HMM TIGR02152 (rbsK: ribokinase (EC 2.7.1.15))

# 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/TIGR02152.hmm
# target sequence database:        /tmp/gapView.539909.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02152  [M=298]
Accession:   TIGR02152
Description: D_ribokin_bact: ribokinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   3.6e-105  337.5   1.2   4.1e-105  337.3   1.2    1.0  1  NCBI__GCF_002252445.1:WP_094506690.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_002252445.1:WP_094506690.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  337.3   1.2  4.1e-105  4.1e-105       1     297 [.       5     301 ..       5     302 .. 0.99

  Alignments for each domain:
  == domain 1  score: 337.3 bits;  conditional E-value: 4.1e-105
                             TIGR02152   1 ivvvGSinvDlvlrvkrlpkpGetvkaeefkiaaGGKGANQAvaaarlgaevsmigkvGkDefgeellenlkk 73 
                                           i vvGS +vDl+++v+r+p pGet++a +f+i++GGKGANQAvaaarlga+v m+++vG+D f++++++nl++
  NCBI__GCF_002252445.1:WP_094506690.1   5 IGVVGSNMVDLITYVNRMPGPGETLEAPTFEIGCGGKGANQAVAAARLGADVMMVTRVGDDVFADNTIRNLNN 77 
                                           679********************************************************************** PP

                             TIGR02152  74 egidteyvkkvkktstGvAlilvdeegeNsIvvvaGaneeltpedvkaaeekikesdlvllQlEipletveea 146
                                            g+dt +v k++ +s+GvA i+v+ +geNsI++v+Gan++l p++v++a+e++k++ l+l+Q+E+p+etv++ 
  NCBI__GCF_002252445.1:WP_094506690.1  78 FGVDTRHVVKISGKSSGVAPIFVEPSGENSILIVKGANADLLPAEVDKASEDLKTCGLILMQMEVPVETVYHT 150
                                           ************************************************************************* PP

                             TIGR02152 147 lkiakkagvkvllnPAPaekkldeellslvdiivpNetEaeiLtgievedledaekaaekllekgvkaviitl 219
                                           +++a ++g++++lnPAPa+++ld e +++v+++vpNe+E+++L+g  +++ +++  aa+ l e+g+++vi+tl
  NCBI__GCF_002252445.1:WP_094506690.1 151 ISFAAENGIETILNPAPAAADLDPERIRQVTFLVPNESELALLSGLPTDTNDEIVIAARSLIERGIRTVIVTL 223
                                           ************************************************************************* PP

                             TIGR02152 220 GskGallvskdekklipalkvkavDttaAGDtFigalavaLaegksledavrfanaaaalsVtrkGaqssiPt 292
                                           G +Ga +++++e   ip++kv+  Dtt+AGD+Fig++a   ae+ ++e+++++a+ +aa s+tr G+q+++ +
  NCBI__GCF_002252445.1:WP_094506690.1 224 GGRGARMITANEIVNIPPVKVTPKDTTGAGDAFIGSFARFYAETGEVEASLKKAALYAAHSITRPGTQKAYAS 296
                                           ************************************************************************* PP

                             TIGR02152 293 keeve 297
                                           +ee+e
  NCBI__GCF_002252445.1:WP_094506690.1 297 AEEFE 301
                                           99986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (298 nodes)
Target sequences:                          1  (312 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: 00:00:00.01
# Mc/sec: 8.54
//
[ok]

This GapMind analysis is from Sep 24 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:

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

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