GapMind for catabolism of small carbon sources

 

Alignments for a candidate for rbsK in Trichormus variabilis ATCC 29413

Align Ribokinase (EC 2.7.1.15) (characterized)
to candidate WP_011317140.1 AVA_RS01255 ribokinase

Query= reanno::pseudo5_N2C3_1:AO356_00950
         (304 letters)



>NCBI__GCF_000204075.1:WP_011317140.1
          Length = 307

 Score =  227 bits (578), Expect = 3e-64
 Identities = 131/299 (43%), Positives = 175/299 (58%), Gaps = 1/299 (0%)

Query: 5   VVVIGSLNMDLVTRAPRLPRGGETLIGESFATIPGGKGANQAVAAARLGAQVSMVGCVGD 64
           ++V GS+N+DLV  AP+LP  GETL+GE F  +PGGKGANQAVA A+LG    MVG VG 
Sbjct: 3   IIVFGSINIDLVATAPKLPIAGETLLGEDFFKVPGGKGANQAVAVAKLGVPTQMVGRVGA 62

Query: 65  DAYGEQLRGALLAEGIDCQAVRVEQ-GSSGVALIVVDDNSQNAIVIVAGANGALTAEVLD 123
             +G +L   L   G+    + V++  SSGVA+I V  + +N IV++ GANG +    ++
Sbjct: 63  HGFGAELMENLQDAGVQTDNIFVDETASSGVAMITVAHDGENQIVVIPGANGRVNQADVE 122

Query: 124 GVDDVLQSADVIICQLEVPDATVGHALKRGRALGKIVILNPAPASHALPADWYACIDYLI 183
            +  +L +A  ++ QLE+P   V  A +  R+    VIL+PAPA   LPA+ Y  ID + 
Sbjct: 123 RLSYILPTATALLLQLEIPITAVIAAAQAARSNNITVILDPAPAPSDLPAELYPLIDIIT 182

Query: 184 PNESEAAVLSGLAVDSLETAEAAAAHLIAAGAGKVIVTLGAQGLMFANGASFEHFPAPRV 243
           PNE EA  + G  VD  E A  AA  L+  G    IV LGA+G++ A        PA  V
Sbjct: 183 PNEVEAGQIVGFPVDGEEAARKAAGVLLQRGVKSAIVKLGAKGVVCATDKETFFVPAFFV 242

Query: 244 KAVDTTAAGDTFVGGFAAALACGKSEVDAIRFGQVAAALSVTRAGAQPSIPTLLEVQAF 302
             VDT AAGD F GG A AL  G S   A+ +G  A AL+ T+ GAQ S+P  L  +AF
Sbjct: 243 DTVDTVAAGDAFNGGLATALYSGLSLHQAVIWGAAAGALAATKLGAQTSLPDKLTFEAF 301


Lambda     K      H
   0.318    0.133    0.377 

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: 253
Number of extensions: 12
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: 304
Length of database: 307
Length adjustment: 27
Effective length of query: 277
Effective length of database: 280
Effective search space:    77560
Effective search space used:    77560
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_011317140.1 AVA_RS01255 (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.10507.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
   1.3e-101  325.9   4.8   1.4e-101  325.7   4.8    1.0  1  lcl|NCBI__GCF_000204075.1:WP_011317140.1  AVA_RS01255 ribokinase


Domain annotation for each sequence (and alignments):
>> lcl|NCBI__GCF_000204075.1:WP_011317140.1  AVA_RS01255 ribokinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  325.7   4.8  1.4e-101  1.4e-101       1     294 [.       3     296 ..       3     300 .. 0.99

  Alignments for each domain:
  == domain 1  score: 325.7 bits;  conditional E-value: 1.4e-101
                                 TIGR02152   1 ivvvGSinvDlvlrvkrlpkpGetvkaeefkiaaGGKGANQAvaaarlgaevsmigkvGkDefgeelle 69 
                                               i+v+GSin+Dlv+++++lp +Get+ +e+f +++GGKGANQAva+a+lg  ++m+g+vG   fg+el+e
  lcl|NCBI__GCF_000204075.1:WP_011317140.1   3 IIVFGSINIDLVATAPKLPIAGETLLGEDFFKVPGGKGANQAVAVAKLGVPTQMVGRVGAHGFGAELME 71 
                                               89******************************************************************* PP

                                 TIGR02152  70 nlkkegidteyvkkvkktstGvAlilvdeegeNsIvvvaGaneeltpedvkaaeekikesdlvllQlEi 138
                                               nl++ g++t+++  ++++s+GvA+i+v+++geN+Ivv+ Gan +++++dv++ +  + +++ +llQlEi
  lcl|NCBI__GCF_000204075.1:WP_011317140.1  72 NLQDAGVQTDNIFVDETASSGVAMITVAHDGENQIVVIPGANGRVNQADVERLSYILPTATALLLQLEI 140
                                               ********************************************************************* PP

                                 TIGR02152 139 pletveealkiakkagvkvllnPAPaekkldeellslvdiivpNetEaeiLtgievedledaekaaekl 207
                                               p+ +v++a+++a++++++v+l+PAPa ++l++el+ l+dii+pNe Ea +++g  v+ +e+a+kaa  l
  lcl|NCBI__GCF_000204075.1:WP_011317140.1 141 PITAVIAAAQAARSNNITVILDPAPAPSDLPAELYPLIDIITPNEVEAGQIVGFPVDGEEAARKAAGVL 209
                                               ********************************************************************* PP

                                 TIGR02152 208 lekgvkaviitlGskGallvskdekklipalkvkavDttaAGDtFigalavaLaegksledavrfanaa 276
                                               l++gvk  i++lG+kG+++++ +e+ ++pa+ v++vDt+aAGD+F+g+la+aL +g sl++av  ++aa
  lcl|NCBI__GCF_000204075.1:WP_011317140.1 210 LQRGVKSAIVKLGAKGVVCATDKETFFVPAFFVDTVDTVAAGDAFNGGLATALYSGLSLHQAVIWGAAA 278
                                               ********************************************************************* PP

                                 TIGR02152 277 aalsVtrkGaqssiPtke 294
                                                al+ t++Gaq+s+P k 
  lcl|NCBI__GCF_000204075.1:WP_011317140.1 279 GALAATKLGAQTSLPDKL 296
                                               ***************875 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (298 nodes)
Target sequences:                          1  (307 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: 11.26
//
[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:

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