GapMind for catabolism of small carbon sources

 

Alignments for a candidate for rbsK in Weissella oryzae SG25

Align Ribokinase; RK; EC 2.7.1.15 (characterized)
to candidate WP_027698937.1 TT13_RS04745 ribokinase

Query= SwissProt::A0A0H2WZY4
         (304 letters)



>NCBI__GCF_000691805.2:WP_027698937.1
          Length = 311

 Score =  273 bits (699), Expect = 3e-78
 Identities = 151/309 (48%), Positives = 203/309 (65%), Gaps = 8/309 (2%)

Query: 1   MTNKVVILGSTNVDQFLTVERYAQPGETLHVEEAQKAFGGGKGANQAIATARMQADTTFI 60
           M N + +LGSTN+D+ + V R+   GET+H         GGKG NQ +A AR    T  I
Sbjct: 1   MANVITVLGSTNIDKVVAVPRFGNSGETIHTPNHLVEAMGGKGLNQGVAVARSGVKTNMI 60

Query: 61  TKIGTDGVADFILEDFKVAHIDTSYIIKTAEAKTGQAFITVNAE-GQNTIYVYGGANMTM 119
           TK+G +     I ++  VA++ T +++++A  +TGQA+ITV+AE G N IY+YGGAN  M
Sbjct: 61  TKVGQEFD---IAKNMNVANLMTDHVMRSATEETGQAYITVSAETGDNLIYIYGGANADM 117

Query: 120 TPEDVINAKDAIINADFVVAQLEVPIPAIISAFEIAKAHGVTTVLNPAPAK---ALPNEL 176
           T  DV     AI  ++FV+AQLE  +  +I AF+IA  +GV T+LNPAP      LP EL
Sbjct: 118 TAADVREHTSAIAESEFVIAQLETSMETVIEAFKIAHENGVKTILNPAPMPEVGGLPAEL 177

Query: 177 LSLIDIIVPNETEAELLSGIKVTNEQSMKDNANYFLSIGIKTVLITLGKQGTYFATKNQS 236
           L+L DII PNE E  LL+ I++T+E SM +NA Y+   G+ TV+IT+G +G +F  KN  
Sbjct: 178 LALTDIIAPNEHETFLLTEIEITDEHSMIENAQYYFERGVDTVIITVGSEGAFFMRKNGD 237

Query: 237 QHI-EAYKVNAIDTTAAGDTFIGAFVSRLNKSQDNLADAIDFGNKASSLTVQKHGAQASI 295
           + I  A+K NA+DTTAAGDTFIGA  +RLN + DNLA+A+ +G  ASSLTV + GAQ SI
Sbjct: 238 EGIVPAFKTNAVDTTAAGDTFIGATSTRLNPALDNLAEAMRYGAAASSLTVSRAGAQPSI 297

Query: 296 PLLEEVNQV 304
           PL  EV  V
Sbjct: 298 PLEAEVLSV 306


Lambda     K      H
   0.314    0.130    0.352 

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: 298
Number of extensions: 20
Number of successful extensions: 5
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: 311
Length adjustment: 27
Effective length of query: 277
Effective length of database: 284
Effective search space:    78668
Effective search space used:    78668
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: 42 (22.0 bits)
S2: 48 (23.1 bits)

Align candidate WP_027698937.1 TT13_RS04745 (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.1419201.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
    2.8e-96  308.3   8.3    3.2e-96  308.1   8.3    1.0  1  NCBI__GCF_000691805.2:WP_027698937.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000691805.2:WP_027698937.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  308.1   8.3   3.2e-96   3.2e-96       1     296 [.       5     303 ..       5     305 .. 0.96

  Alignments for each domain:
  == domain 1  score: 308.1 bits;  conditional E-value: 3.2e-96
                             TIGR02152   1 ivvvGSinvDlvlrvkrlpkpGetvkaeefki.aaGGKGANQAvaaarlgaevsmigkvGkDefgeellenlk 72 
                                           i+v+GS+n+D v+ v+r+ + Get+++ ++ + a+GGKG NQ va+ar g +++mi+kvG+     ++ +n++
  NCBI__GCF_000691805.2:WP_027698937.1   5 ITVLGSTNIDKVVAVPRFGNSGETIHTPNHLVeAMGGKGLNQGVAVARSGVKTNMITKVGQEF---DIAKNMN 74 
                                           89*************************97655169*************************974...79999** PP

                             TIGR02152  73 kegidteyvkkvkktstGvAlilvd.eegeNsIvvvaGaneeltpedvkaaeekikesdlvllQlEipletve 144
                                             ++ t++v ++++++tG+A+i+v+ e+g+N I+++ Gan+++t++dv++++++i+es++v++QlE+++etv+
  NCBI__GCF_000691805.2:WP_027698937.1  75 VANLMTDHVMRSATEETGQAYITVSaETGDNLIYIYGGANADMTAADVREHTSAIAESEFVIAQLETSMETVI 147
                                           ************************73689******************************************** PP

                             TIGR02152 145 ealkiakkagvkvllnPAPaekk..ldeellslvdiivpNetEaeiLtgievedledaekaaekllekgvkav 215
                                           ea+kia+++gvk++lnPAP  +   l++ell+l+dii pNe+E+ +Lt+ie++d++++ ++a+++ e+gv++v
  NCBI__GCF_000691805.2:WP_027698937.1 148 EAFKIAHENGVKTILNPAPMPEVggLPAELLALTDIIAPNEHETFLLTEIEITDEHSMIENAQYYFERGVDTV 220
                                           ******************986533389********************************************** PP

                             TIGR02152 216 iitlGskGallvskd.ekklipalkvkavDttaAGDtFigalavaLaeg.ksledavrfanaaaalsVtrkGa 286
                                           iit+Gs+Ga++++k+ ++ ++pa+k +avDttaAGDtFiga ++ L+   ++l++a+r+++aa++l+V r+Ga
  NCBI__GCF_000691805.2:WP_027698937.1 221 IITVGSEGAFFMRKNgDEGIVPAFKTNAVDTTAAGDTFIGATSTRLNPAlDNLAEAMRYGAAASSLTVSRAGA 293
                                           **************99999*****************************999********************** PP

                             TIGR02152 287 qssiPtkeev 296
                                           q+siP ++ev
  NCBI__GCF_000691805.2:WP_027698937.1 294 QPSIPLEAEV 303
                                           *******998 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (298 nodes)
Target sequences:                          1  (311 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: 17.22
//
[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