GapMind for catabolism of small carbon sources

 

Alignments for a candidate for rbsK in Collimonas pratensis Ter91

Align Ribokinase (EC 2.7.1.15) (characterized)
to candidate WP_061944912.1 CPter91_RS23405 ribokinase

Query= reanno::HerbieS:HSERO_RS11500
         (299 letters)



>NCBI__GCF_001584185.1:WP_061944912.1
          Length = 304

 Score =  357 bits (916), Expect = e-103
 Identities = 189/303 (62%), Positives = 234/303 (77%), Gaps = 7/303 (2%)

Query: 1   MIVIIGSVNMDLVLRVPRMPLPGETLAGDRFMTIPGGKGANQAVACARLAAPGTRVAMVA 60
           MIVIIGS+NMDLVLRVPRMP PGETL+G +F TIPGGKGANQAVA ARL+A   +VAM+A
Sbjct: 1   MIVIIGSINMDLVLRVPRMPHPGETLSGGQFRTIPGGKGANQAVAAARLSADSVKVAMIA 60

Query: 61  CVGDDAFGGQMRQSITACGIDDRYIDEVAGEATGIASIMVDANAQNSIVIAAGANGRLDV 120
           C+GDDAFG ++R ++ + GIDD ++  V+G A+G+ASI+VDA  QNSIV+AAGAN  L  
Sbjct: 61  CLGDDAFGAELRAALRSDGIDDSHVSTVSGSASGVASILVDAGGQNSIVLAAGANDALSP 120

Query: 121 ERIERARALIEQASIVLLQLEVPMATVIHSIELAHALGKTVVLNPAPAQALPRALLQKID 180
             I+ ARALIEQA I++LQLE P+ T+ H+I+LAH LGKTVVLNPAPAQ LP  LL +++
Sbjct: 121 AHIDAARALIEQARIIVLQLETPLPTIRHAIKLAHQLGKTVVLNPAPAQVLPADLLAQVE 180

Query: 181 YLILNEIEAAMLA--EEQSED----IPMLARKLHDLGARNVVVTLGEKGVYGSFADGQQR 234
           YLI NEIEAAMLA   E S D    I     KL   G+ NV+VTLG KGVY + + G + 
Sbjct: 181 YLIPNEIEAAMLAGLPEVSLDNDAAIDAAVAKLRANGSANVLVTLGSKGVYAALSSGSE- 239

Query: 235 HLPARKVQAVDTTAAGDTFIGGFIGAIAQGRDQFEAIAYAQAAAALSVTRVGAQTSIPTR 294
           H  A+ V+A+DTTAAGDTFIGGF+ A+A+GR + +AIA+ Q AAALSV R+GAQTSIP R
Sbjct: 240 HFAAQPVKAIDTTAAGDTFIGGFVAALAEGRSEADAIAFGQRAAALSVARIGAQTSIPYR 299

Query: 295 DEV 297
            E+
Sbjct: 300 HEL 302


Lambda     K      H
   0.320    0.135    0.374 

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: 251
Number of extensions: 8
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: 299
Length of database: 304
Length adjustment: 27
Effective length of query: 272
Effective length of database: 277
Effective search space:    75344
Effective search space used:    75344
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 (21.8 bits)
S2: 48 (23.1 bits)

Align candidate WP_061944912.1 CPter91_RS23405 (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.1441183.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
     2e-111  358.0   3.7   2.3e-111  357.9   3.7    1.0  1  NCBI__GCF_001584185.1:WP_061944912.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_001584185.1:WP_061944912.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  357.9   3.7  2.3e-111  2.3e-111       1     297 [.       2     303 ..       2     304 .] 0.97

  Alignments for each domain:
  == domain 1  score: 357.9 bits;  conditional E-value: 2.3e-111
                             TIGR02152   1 ivvvGSinvDlvlrvkrlpkpGetvkaeefkiaaGGKGANQAvaaarlg...aevsmigkvGkDefgeellen 70 
                                           iv++GSin+Dlvlrv+r+p+pGet+ + +f++++GGKGANQAvaaarl+    +v+mi+++G+D+fg+el+ +
  NCBI__GCF_001584185.1:WP_061944912.1   2 IVIIGSINMDLVLRVPRMPHPGETLSGGQFRTIPGGKGANQAVAAARLSadsVKVAMIACLGDDAFGAELRAA 74 
                                           89**********************************************977778******************* PP

                             TIGR02152  71 lkkegidteyvkkvkktstGvAlilvdeegeNsIvvvaGaneeltpedvkaaeekikesdlvllQlEipletv 143
                                           l+++gid ++v++v+ +++GvA ilvd  g+NsIv++aGan+ l+p++++aa++ i+++++++lQlE+pl t+
  NCBI__GCF_001584185.1:WP_061944912.1  75 LRSDGIDDSHVSTVSGSASGVASILVDAGGQNSIVLAAGANDALSPAHIDAARALIEQARIIVLQLETPLPTI 147
                                           ************************************************************************* PP

                             TIGR02152 144 eealkiakkagvkvllnPAPaekkldeellslvdiivpNetEaeiLtgie...vedledaekaaekllekgvk 213
                                           ++a+k+a++ g++v+lnPAPa + l+++ll++v++++pNe Ea++L g      ++ +++++a +kl+++g  
  NCBI__GCF_001584185.1:WP_061944912.1 148 RHAIKLAHQLGKTVVLNPAPA-QVLPADLLAQVEYLIPNEIEAAMLAGLPevsLDNDAAIDAAVAKLRANGSA 219
                                           *********************.56**********************99764447888999************* PP

                             TIGR02152 214 aviitlGskGallvskdekklipalkvkavDttaAGDtFigalavaLaegksledavrfanaaaalsVtrkGa 286
                                           +v++tlGskG++ + ++ ++++ a  vka+DttaAGDtFig++++aLaeg+s +da+ f+++aaalsV r+Ga
  NCBI__GCF_001584185.1:WP_061944912.1 220 NVLVTLGSKGVYAALSSGSEHFAAQPVKAIDTTAAGDTFIGGFVAALAEGRSEADAIAFGQRAAALSVARIGA 292
                                           ************************************************************************* PP

                             TIGR02152 287 qssiPtkeeve 297
                                           q+siP+++e+e
  NCBI__GCF_001584185.1:WP_061944912.1 293 QTSIPYRHELE 303
                                           *********97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (298 nodes)
Target sequences:                          1  (304 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: 13.05
//
[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