GapMind for Amino acid biosynthesis

 

Aligments for a candidate for thrB in Escherichia coli BW25113

Align homoserine kinase; EC 2.7.1.39 (characterized)
to candidate 14148 b0003 homoserine kinase (NCBI)

Query= CharProtDB::CH_002113
         (310 letters)



>lcl|FitnessBrowser__Keio:14148 b0003 homoserine kinase (NCBI)
          Length = 310

 Score =  626 bits (1614), Expect = 0.0
 Identities = 310/310 (100%), Positives = 310/310 (100%)

Query: 1   MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEP 60
           MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEP
Sbjct: 1   MVKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETFSLNNLGRFADKLPSEP 60

Query: 61  RENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLND 120
           RENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLND
Sbjct: 61  RENIVYQCWERFCQELGKQIPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLND 120

Query: 121 TRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGI 180
           TRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGI
Sbjct: 121 TRLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGI 180

Query: 181 KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLP 240
           KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLP
Sbjct: 181 KVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLP 240

Query: 241 GFRQARQAVAEIGAVASGISGSGPTLFALCDKPETAQRVADWLGKNYLQNQEGFVHICRL 300
           GFRQARQAVAEIGAVASGISGSGPTLFALCDKPETAQRVADWLGKNYLQNQEGFVHICRL
Sbjct: 241 GFRQARQAVAEIGAVASGISGSGPTLFALCDKPETAQRVADWLGKNYLQNQEGFVHICRL 300

Query: 301 DTAGARVLEN 310
           DTAGARVLEN
Sbjct: 301 DTAGARVLEN 310


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: 463
Number of extensions: 5
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: 310
Length adjustment: 27
Effective length of query: 283
Effective length of database: 283
Effective search space:    80089
Effective search space used:    80089
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 14148 b0003 (homoserine kinase (NCBI))
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.25190.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                       -----------
   2.2e-126  406.8   0.0   2.5e-126  406.6   0.0    1.0  1  lcl|FitnessBrowser__Keio:14148  b0003 homoserine kinase (NCBI)


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Keio:14148  b0003 homoserine kinase (NCBI)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  406.6   0.0  2.5e-126  2.5e-126       1     303 [.       2     309 ..       2     310 .] 0.99

  Alignments for each domain:
  == domain 1  score: 406.6 bits;  conditional E-value: 2.5e-126
                       TIGR00191   1 lkvkvPassANlgpGfDvlGlalslvlellvtedvaqeskdk.sleaegegvekipkesdkNliyqvakkvlkklgkrv 78 
                                     +kv++PassAN+++GfDvlG+a+++v+++l++++v++e++++ sl++ g++++k+p+e+++N++yq++++++++lgk+ 
  lcl|FitnessBrowser__Keio:14148   2 VKVYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAETfSLNNLGRFADKLPSEPRENIVYQCWERFCQELGKQ- 79 
                                     69****************************************9***********************************. PP

                       TIGR00191  79 kpvkltvekeiplgrGLGSSaaaivaaviaanelaglklskeelldlalllEg......HpDNvapallGGlqlavked 151
                                      pv++t+ek++p+g+GLGSSa+++vaa++a+ne++g++l++++ll+l+++lEg      H+DNvap++lGG+ql+++e+
  lcl|FitnessBrowser__Keio:14148  80 IPVAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLNDTRLLALMGELEGrisgsiHYDNVAPCFLGGMQLMIEEN 158
                                     ******************************************************************************* PP

                       TIGR00191 152 dllevlkvPsgsklkvvlviPnievsTaeaRavLPkaysrqdlvfnlshlavlvtAlvskdkadllaiamkDrvhqpyR 230
                                     d +++++vP ++++ +vl++P+i+vsTaeaRa+LP++y+rqd++++++hla++++A++s+ +++l+a++mkD++++pyR
  lcl|FitnessBrowser__Keio:14148 159 D-IISQQVPGFDEWLWVLAYPGIKVSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSR-QPELAAKLMKDVIAEPYR 235
                                     *.**********************************************************.****************** PP

                       TIGR00191 231 ekliPelteikqaakekgalgitlSGaGptilalaeeek.eekaqelleklakegieltvkvleldtdgaevek 303
                                     e+l+P++++ +qa++e ga+++++SG+Gpt++al+++ + +++++++l k++ +++e++v++++ldt+ga+v++
  lcl|FitnessBrowser__Keio:14148 236 ERLLPGFRQARQAVAEIGAVASGISGSGPTLFALCDKPEtAQRVADWLGKNYLQNQEGFVHICRLDTAGARVLE 309
                                     ***************************************9*******************************986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (304 nodes)
Target sequences:                          1  (310 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: 00:00:00.01
# Mc/sec: 9.28
//
[ok]

This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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 the paper from 2019 on GapMind for amino acid biosynthesis, the paper from 2022 on GapMind for carbon sources, or view the source code, or see changes to Amino acid biosynthesis since the publication.

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