GapMind for Amino acid biosynthesis

 

Alignments for a candidate for thrB in Shewanella sp. ANA-3

Align homoserine kinase; EC 2.7.1.39 (characterized)
to candidate 7023928 Shewana3_1140 homoserine kinase (RefSeq)

Query= CharProtDB::CH_002113
         (310 letters)



>FitnessBrowser__ANA3:7023928
          Length = 312

 Score =  341 bits (875), Expect = 1e-98
 Identities = 169/305 (55%), Positives = 218/305 (71%), Gaps = 2/305 (0%)

Query: 4   VYAPASSANMSVGFDVLGAAVTPVDGALLGDVVTVEAAET-FSLNNLGRFADKLPSEPRE 62
           VYAPAS  N+ VGFD+LGAA+ P+DG+LLGD VT+ AA+   SL  +G +A KLPS P E
Sbjct: 5   VYAPASMGNVGVGFDLLGAALAPIDGSLLGDRVTIAAADAGVSLTQVGAWAHKLPSNPEE 64

Query: 63  NIVYQCWERFCQELGKQIP-VAMTLEKNMPIGSGLGSSACSVVAALMAMNEHCGKPLNDT 121
           NIV+QC   F + LGK+   VA+TLEKN+P+GSGLGSSA SVVAAL A+NEH  +P +  
Sbjct: 65  NIVHQCAVFFLKALGKENQGVALTLEKNLPVGSGLGSSASSVVAALYALNEHFERPYDKQ 124

Query: 122 RLLALMGELEGRISGSIHYDNVAPCFLGGMQLMIEENDIISQQVPGFDEWLWVLAYPGIK 181
            LL LMGE EG+ISGS+HYDNVAPC+LGGMQLM+     I + +P F +W WV+AYPGI 
Sbjct: 125 ALLELMGEFEGKISGSVHYDNVAPCYLGGMQLMLNVPGAICEPIPSFKQWYWVVAYPGIS 184

Query: 182 VSTAEARAILPAQYRRQDCIAHGRHLAGFIHACYSRQPELAAKLMKDVIAEPYRERLLPG 241
           +STA  R ++P QY +   I  GR+L+ F+HA Y +  +LA +++KDV+AEPYR   +PG
Sbjct: 185 LSTAMMRKLMPEQYDKSVAIDFGRYLSAFVHASYQQNAKLAIQVLKDVLAEPYRAAAIPG 244

Query: 242 FRQARQAVAEIGAVASGISGSGPTLFALCDKPETAQRVADWLGKNYLQNQEGFVHICRLD 301
           +  AR A+AE+G + +GISGSGPTLF++ D   TA     WL  +YL    GF H+CRLD
Sbjct: 245 YDNARAALAELGMLTTGISGSGPTLFSVTDNLVTANAAKAWLEAHYLTEAGGFAHVCRLD 304

Query: 302 TAGAR 306
             G R
Sbjct: 305 EQGTR 309


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: 302
Number of extensions: 9
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: 310
Length of database: 312
Length adjustment: 27
Effective length of query: 283
Effective length of database: 285
Effective search space:    80655
Effective search space used:    80655
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 7023928 Shewana3_1140 (homoserine kinase (RefSeq))
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.18485.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
    6.6e-92  293.5   0.0    7.4e-92  293.4   0.0    1.0  1  lcl|FitnessBrowser__ANA3:7023928  Shewana3_1140 homoserine kinase 


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__ANA3:7023928  Shewana3_1140 homoserine kinase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  293.4   0.0   7.4e-92   7.4e-92       1     300 [.       3     309 ..       3     312 .] 0.99

  Alignments for each domain:
  == domain 1  score: 293.4 bits;  conditional E-value: 7.4e-92
                         TIGR00191   1 lkvkvPassANlgpGfDvlGlalslvlellvtedvaqeskdk..sleaegegvekipkesdkNliyqvakkvlkklg 75 
                                       l+v++Pas  N+g+GfD lG+al +++++l+++ v+++++d+  sl+++g  ++k+p+++++N++ q+a+ +lk lg
  lcl|FitnessBrowser__ANA3:7023928   3 LTVYAPASMGNVGVGFDLLGAALAPIDGSLLGDRVTIAAADAgvSLTQVGAWAHKLPSNPEENIVHQCAVFFLKALG 79 
                                       68*********************************999999999********************************* PP

                         TIGR00191  76 krvkpvkltvekeiplgrGLGSSaaaivaaviaanelaglklskeelldlalllEg......HpDNvapallGGlql 146
                                       k+ ++v+lt+ek++p+g+GLGSSa+++vaa++a+ne+++ +++k+ ll+l+++ Eg      H+DNvap++lGG+ql
  lcl|FitnessBrowser__ANA3:7023928  80 KENQGVALTLEKNLPVGSGLGSSASSVVAALYALNEHFERPYDKQALLELMGEFEGkisgsvHYDNVAPCYLGGMQL 156
                                       ***************************************************************************** PP

                         TIGR00191 147 avkeddllevlkvPsgsklkvvlviPnievsTaeaRavLPkaysrqdlvfnlshlavlvtAlvskdkadllaiamkD 223
                                       +++    +++ ++Ps++++++v+++P+i++sTa  R+++P++y+ + ++  ++ l+ +v+A +++ +a+l+  ++kD
  lcl|FitnessBrowser__ANA3:7023928 157 MLNVPG-AICEPIPSFKQWYWVVAYPGISLSTAMMRKLMPEQYDKSVAIDFGRYLSAFVHASYQQ-NAKLAIQVLKD 231
                                       ****99.**********************************************************.*********** PP

                         TIGR00191 224 rvhqpyRekliPelteikqaakekgalgitlSGaGptilalaeeek.eekaqelleklakegieltvkvleldtdga 299
                                       ++++pyR+  iP++++ + a +e g+l++++SG+Gpt+++++++   ++ a+ +le ++     ++ +v++ld +g+
  lcl|FitnessBrowser__ANA3:7023928 232 VLAEPYRAAAIPGYDNARAALAELGMLTTGISGSGPTLFSVTDNLVtANAAKAWLEAHYLTEAGGFAHVCRLDEQGT 308
                                       ********************************************998999*************************98 PP

                         TIGR00191 300 e 300
                                       +
  lcl|FitnessBrowser__ANA3:7023928 309 R 309
                                       7 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (304 nodes)
Target sequences:                          1  (312 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 0.01s 00:00:00.02 Elapsed: 00:00:00.01
# Mc/sec: 7.30
//
[ok]

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Apr 09 2024.

Links

Downloads

Related tools

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