Alignments for a candidate for deoD in Escherichia coli BW25113

GapMind for catabolism of small carbon sources

Alignments for a candidate for deoD in Escherichia coli BW25113

Align purine-nucleoside phosphorylase (EC 2.4.2.1) (characterized)
to candidate 18405 b4384 purine nucleoside phosphorylase (NCBI)

Query= BRENDA::P0ABP8
         (239 letters)



>FitnessBrowser__Keio:18405
          Length = 239

 Score =  476 bits (1226), Expect = e-139
 Identities = 239/239 (100%), Positives = 239/239 (100%)

Query: 1   MATPHINAEMGDFADVVLMPGDPLRAKYIAETFLEDAREVNNVRGMLGFTGTYKGRKISV 60
           MATPHINAEMGDFADVVLMPGDPLRAKYIAETFLEDAREVNNVRGMLGFTGTYKGRKISV
Sbjct: 1   MATPHINAEMGDFADVVLMPGDPLRAKYIAETFLEDAREVNNVRGMLGFTGTYKGRKISV 60

Query: 61  MGHGMGIPSCSIYTKELITDFGVKKIIRVGSCGAVLPHVKLRDVVIGMGACTDSKVNRIR 120
           MGHGMGIPSCSIYTKELITDFGVKKIIRVGSCGAVLPHVKLRDVVIGMGACTDSKVNRIR
Sbjct: 61  MGHGMGIPSCSIYTKELITDFGVKKIIRVGSCGAVLPHVKLRDVVIGMGACTDSKVNRIR 120

Query: 121 FKDHDFAAIADFDMVRNAVDAAKALGIDARVGNLFSADLFYSPDGEMFDVMEKYGILGVE 180
           FKDHDFAAIADFDMVRNAVDAAKALGIDARVGNLFSADLFYSPDGEMFDVMEKYGILGVE
Sbjct: 121 FKDHDFAAIADFDMVRNAVDAAKALGIDARVGNLFSADLFYSPDGEMFDVMEKYGILGVE 180

Query: 181 MEAAGIYGVAAEFGAKALTICTVSDHIRTHEQTTAAERQTTFNDMIKIALESVLLGDKE 239
           MEAAGIYGVAAEFGAKALTICTVSDHIRTHEQTTAAERQTTFNDMIKIALESVLLGDKE
Sbjct: 181 MEAAGIYGVAAEFGAKALTICTVSDHIRTHEQTTAAERQTTFNDMIKIALESVLLGDKE 239


Lambda     K      H
   0.322    0.138    0.401 

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: 9
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: 239
Length of database: 239
Length adjustment: 23
Effective length of query: 216
Effective length of database: 216
Effective search space:    46656
Effective search space used:    46656
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 18405 b4384 (purine nucleoside phosphorylase (NCBI))
to HMM TIGR00107 (deoD: purine nucleoside phosphorylase (EC 2.4.2.1))

# 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/TIGR00107.hmm
# target sequence database:        /tmp/gapView.24204.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00107  [M=232]
Accession:   TIGR00107
Description: deoD: purine nucleoside phosphorylase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                       -----------
   8.5e-132  423.7   0.5   9.5e-132  423.6   0.5    1.0  1  lcl|FitnessBrowser__Keio:18405  b4384 purine nucleoside phosphor


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Keio:18405  b4384 purine nucleoside phosphorylase (NCBI)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  423.6   0.5  9.5e-132  9.5e-132       1     230 [.       5     234 ..       5     236 .. 0.99

  Alignments for each domain:
  == domain 1  score: 423.6 bits;  conditional E-value: 9.5e-132
                       TIGR00107   1 hinakkgdiadvvllpGdPlrakyiaekfledakevnevrgmlgftGkykgkkisvmGhGmGipsisiyskelikeyev 79 
                                     hina++gd+advvl+pGdPlrakyiae+fleda+evn+vrgmlgftG+ykg+kisvmGhGmGips+siy+keli++++v
  lcl|FitnessBrowser__Keio:18405   5 HINAEMGDFADVVLMPGDPLRAKYIAETFLEDAREVNNVRGMLGFTGTYKGRKISVMGHGMGIPSCSIYTKELITDFGV 83 
                                     9****************************************************************************** PP

                       TIGR00107  80 kkiirvGsCGairkkvklkdviialkastdskvnrvrfvevdlaaiadfelvklakeaakkkgldvkvGnvfsadlfys 158
                                     kkiirvGsCGa+ ++vkl+dv+i+++a+tdskvnr+rf+++d+aaiadf++v++a++aak++g+d++vGn+fsadlfys
  lcl|FitnessBrowser__Keio:18405  84 KKIIRVGSCGAVLPHVKLRDVVIGMGACTDSKVNRIRFKDHDFAAIADFDMVRNAVDAAKALGIDARVGNLFSADLFYS 162
                                     ******************************************************************************* PP

                       TIGR00107 159 tdkevldllekygvlavemeaaalyavaaelgkkaltlltvsdhlvthealtaeerqktfkdmielalesvs 230
                                     +d e++d++ekyg+l+vemeaa++y+vaae+g+kalt++tvsdh++the++ta+erq+tf+dmi++alesv+
  lcl|FitnessBrowser__Keio:18405 163 PDGEMFDVMEKYGILGVEMEAAGIYGVAAEFGAKALTICTVSDHIRTHEQTTAAERQTTFNDMIKIALESVL 234
                                     **********************************************************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (232 nodes)
Target sequences:                          1  (239 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: 10.01
//
[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:

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