GapMind for Amino acid biosynthesis

 

Alignments for a candidate for thrB in Klebsiella variicola At-22

Align homoserine kinase; EC 2.7.1.39 (characterized)
to candidate WP_012542912.1 KVAR_RS21885 homoserine kinase

Query= CharProtDB::CH_002113
         (310 letters)



>NCBI__GCF_000025465.1:WP_012542912.1
          Length = 309

 Score =  563 bits (1451), Expect = e-165
 Identities = 274/308 (88%), Positives = 291/308 (94%)

Query: 1   MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEP 60
           MVKVYAPASSANMSVGFDVLGAAVTPVDG LLGD VTVEAAE FSL+NLGRFA KLP+ P
Sbjct: 1   MVKVYAPASSANMSVGFDVLGAAVTPVDGTLLGDNVTVEAAEQFSLHNLGRFASKLPTAP 60

Query: 61  RENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLND 120
           +ENIVYQCWE FCQE+GK +PV MTLEKNMPIGSGLGSSACSVVAAL+AMNE CGKPLN+
Sbjct: 61  QENIVYQCWESFCQEIGKTVPVTMTLEKNMPIGSGLGSSACSVVAALVAMNEFCGKPLNE 120

Query: 121 TRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGI 180
           TR+LALMGE+EGRISGSIHYDNVAPC+LGGMQLMIEEN IISQQVPGFDEWLWVLAYPGI
Sbjct: 121 TRMLALMGEMEGRISGSIHYDNVAPCYLGGMQLMIEENGIISQQVPGFDEWLWVLAYPGI 180

Query: 181 KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLP 240
           KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACY+RQP+LAAKLMKDVIAEPYR +LLP
Sbjct: 181 KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYTRQPQLAAKLMKDVIAEPYRTKLLP 240

Query: 241 GFRQARQAVAEIGAVASGISGSGPTLFALCDKPETAQRVADWLGKNYLQNQEGFVHICRL 300
           GF +ARQA  EIGA A GISGSGPTLFALCDKP+TAQRVADWLG +YLQNQEGFVHICRL
Sbjct: 241 GFSEARQATMEIGAQACGISGSGPTLFALCDKPDTAQRVADWLGAHYLQNQEGFVHICRL 300

Query: 301 DTAGARVL 308
           DTAGARV+
Sbjct: 301 DTAGARVV 308


Lambda     K      H
   0.321    0.136    0.412 

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: 428
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: 310
Length of database: 309
Length adjustment: 27
Effective length of query: 283
Effective length of database: 282
Effective search space:    79806
Effective search space used:    79806
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_012542912.1 KVAR_RS21885 (homoserine kinase)
to HMM TIGR00191 (thrB: homoserine kinase (EC 2.7.1.39))

# 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.aa/TIGR00191.hmm
# target sequence database:        /tmp/gapView.168071.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00191  [M=304]
Accession:   TIGR00191
Description: thrB: homoserine kinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   6.2e-123  395.4   0.0     7e-123  395.3   0.0    1.0  1  NCBI__GCF_000025465.1:WP_012542912.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000025465.1:WP_012542912.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  395.3   0.0    7e-123    7e-123       1     302 [.       2     308 ..       2     309 .] 0.99

  Alignments for each domain:
  == domain 1  score: 395.3 bits;  conditional E-value: 7e-123
                             TIGR00191   1 lkvkvPassANlgpGfDvlGlalslvlellvtedvaqeskdk.sleaegegvekipkesdkNliyqvakkvlk 72 
                                           +kv++PassAN+++GfDvlG+a+++v++ l++++v++e++++ sl++ g++++k+p+ +++N++yq+++ +++
  NCBI__GCF_000025465.1:WP_012542912.1   2 VKVYAPASSANMSVGFDVLGAAVTPVDGTLLGDNVTVEAAEQfSLHNLGRFASKLPTAPQENIVYQCWESFCQ 74 
                                           69*************************************9999****************************** PP

                             TIGR00191  73 klgkrvkpvkltvekeiplgrGLGSSaaaivaaviaanelaglklskeelldlalllEg......HpDNvapa 139
                                           + gk   pv +t+ek++p+g+GLGSSa+++vaa++a+ne++g++l+++++l+l++++Eg      H+DNvap+
  NCBI__GCF_000025465.1:WP_012542912.1  75 EIGKT-VPVTMTLEKNMPIGSGLGSSACSVVAALVAMNEFCGKPLNETRMLALMGEMEGrisgsiHYDNVAPC 146
                                           *****.9****************************************************************** PP

                             TIGR00191 140 llGGlqlavkeddllevlkvPsgsklkvvlviPnievsTaeaRavLPkaysrqdlvfnlshlavlvtAlvskd 212
                                           +lGG+ql+++e+  +++++vP ++++ +vl++P+i+vsTaeaRa+LP++y+rqd++++++hla++++A++++ 
  NCBI__GCF_000025465.1:WP_012542912.1 147 YLGGMQLMIEENG-IISQQVPGFDEWLWVLAYPGIKVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYTR- 217
                                           *************.**********************************************************. PP

                             TIGR00191 213 kadllaiamkDrvhqpyRekliPelteikqaakekgalgitlSGaGptilalaeeek.eekaqelleklakeg 284
                                           +++l+a++mkD++++pyR+kl+P+++e +qa+ e ga + ++SG+Gpt++al+++ + +++++++l  ++ ++
  NCBI__GCF_000025465.1:WP_012542912.1 218 QPQLAAKLMKDVIAEPYRTKLLPGFSEARQATMEIGAQACGISGSGPTLFALCDKPDtAQRVADWLGAHYLQN 290
                                           ************************************************************************* PP

                             TIGR00191 285 ieltvkvleldtdgaeve 302
                                           +e++v++++ldt+ga+v+
  NCBI__GCF_000025465.1:WP_012542912.1 291 QEGFVHICRLDTAGARVV 308
                                           ***************996 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (304 nodes)
Target sequences:                          1  (309 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: 15.59
//
[ok]

This GapMind analysis is from Jul 25 2024. The underlying query database was built on Jul 25 2024.

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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