Alignments for a candidate for asp-kinase in Shewanella sp. ANA-3

GapMind for Amino acid biosynthesis

Alignments for a candidate for asp-kinase in Shewanella sp. ANA-3

Align homoserine dehydrogenase (EC 1.1.1.3); aspartate kinase (EC 2.7.2.4) (characterized)
to candidate 7023927 Shewana3_1139 bifunctional aspartokinase I/homeserine dehydrogenase I (RefSeq)

Query= BRENDA::P00561
         (820 letters)



>FitnessBrowser__ANA3:7023927
          Length = 822

 Score =  919 bits (2374), Expect = 0.0
 Identities = 476/821 (57%), Positives = 595/821 (72%), Gaps = 10/821 (1%)

Query: 1   MRVLKFGGTSVANAERFLRVADILESNARQGQVATVLSAPAKITNHLVAMIEKTISGQDA 60
           M+V+KFGGTS+AN +RF   ADI+   A+   VATVLSAPA +TN L+ M++  + G+D 
Sbjct: 1   MKVMKFGGTSLANWQRFSMAADIVAKAAKAEPVATVLSAPATVTNALLEMVDVAVKGEDY 60

Query: 61  LPNISDAERIFAELL-----TGLAAAQPGFPLAQLKTFVDQEFAQIKHVLHGISLLGQCP 115
            P I   ER+F  L      +GL+++Q     A L      + A+ +  L GI+LL +CP
Sbjct: 61  SPVIQHVERVFTSLYQDAVSSGLSSSQSEVLFAGLSV----QLARWQDRLRGITLLQECP 116

Query: 116 DSINAALICRGEKMSIAIMAGVLEARGHNVTVIDPVEKLLAVGHYLESTVDIAESTRRIA 175
           D + A ++  GE++S A+M  V+ A+G     +DP E  L  G  LES VDIA S  R  
Sbjct: 117 DGVRAEIVVAGERLSAALMEQVMLAKGITSAQLDPRELFLGRGRPLESVVDIAVSKPRFK 176

Query: 176 ASRIPADHMVLMAGFTAGNEKGELVVLGRNGSDYSAAVLAACLRADCCEIWTDVDGVYTC 235
              +    + +M GFTA +E G++V LGRNGSDYSAAVLAACL A  CEIWTDVDGVY  
Sbjct: 177 NLALDEKRVWVMPGFTAADEDGKVVTLGRNGSDYSAAVLAACLDASSCEIWTDVDGVYNT 236

Query: 236 DPRQVPDARLLKSMSYQEAMELSYFGAKVLHPRTITPIAQFQIPCLIKNTGNPQAPGTLI 295
           DPR V DA+LL  +SYQEAMELSYFGAKVLHP+TI PIAQF IPC IKN+ NP APGTL+
Sbjct: 237 DPRVVTDAKLLSQLSYQEAMELSYFGAKVLHPKTIAPIAQFHIPCYIKNSFNPDAPGTLV 296

Query: 296 GASRDEDELPVKGISNLNNMAMFSVSGPGMKGMVGMAARVFAAMSRARISVVLITQSSSE 355
               DE  L VK ISNL+N  MF VSGPGMKGMVGMA+R  AA+SR+ +SV LITQSS E
Sbjct: 297 SNQADESGLQVKAISNLDNQTMFDVSGPGMKGMVGMASRTLAAISRSGVSVSLITQSSCE 356

Query: 356 YSISFCVPQSDCVRAERAMQEEFYLELKEGLLEPLAVTERLAIISVVGDGMRTLRGISAK 415
           YSISFCV  SD  + + A+++EF LE+K  LLEP+ +   LAI+S++GDGMRT +G++A+
Sbjct: 357 YSISFCVATSDAAKVKSALEQEFELEIKSDLLEPIEMRHDLAIVSLIGDGMRTHKGVAAR 416

Query: 416 FFAALARANINIVAIAQGSSERSISVVVNNDDATTGVRVTHQMLFNTDQVIEVFVIGVGG 475
           FF ALA+A++NI+AIAQGSSERSIS V+        V   HQ  F+  Q ++VF++G G 
Sbjct: 417 FFQALAQASVNIIAIAQGSSERSISTVIEQRKTKHAVAACHQGFFDVQQYLDVFLVGCGN 476

Query: 476 VGGALLEQLKRQQSWLKNKHIDLRVCGVANSKALLTNVHGLNLENWQEELAQAKEPFNLG 535
           VG  LLEQ+K Q S LK +HI +RVCG+ NS  +L +  G++L NWQ  LA +++P +L 
Sbjct: 477 VGAGLLEQIKHQASVLKEQHISIRVCGIVNSSKMLLDSAGIDLNNWQNLLADSQQPSDLS 536

Query: 536 RLIRLVKEYHLLNPVIVDCTSSQAVADQYADFLREGFHVVTPNKKANTSSMDYYHQLRYA 595
            L+  VKE  LLNPV+VDCTSS  V++QY + +  G HVVTPNKKANT    YY  LR  
Sbjct: 537 ALLAWVKEQQLLNPVLVDCTSSDQVSNQYLEVMNAGMHVVTPNKKANTRDYAYYQALRQT 596

Query: 596 AEKSRRKFLYDTNVGAGLPVIENLQNLLNAGDELMKFSGILSGSLSYIFGKLDEGMSFSE 655
           A K RR+FLY+TNVGAGLPVI+NL+ LL AGD+L KF+GILSGSLS+IFGKLDEGM+ SE
Sbjct: 597 ALKQRRQFLYETNVGAGLPVIDNLKKLLFAGDKLHKFNGILSGSLSFIFGKLDEGMTLSE 656

Query: 656 ATTLAREMGYTEPDPRDDLSGMDVARKLLILARETGRELELADIEIEPVLPAEFNAEGDV 715
           AT LARE  +TEPDPRDDLSGMDVARK+LILARE G +LEL+DI ++ VLP +F+  GDV
Sbjct: 657 ATKLAREKCFTEPDPRDDLSGMDVARKVLILAREVGLKLELSDIVVDSVLPDDFDDSGDV 716

Query: 716 AAFMANLSQLDDLFAARVAKARDEGKVLRYVGNIDEDGVCRVKIAEVDGNDPLFKVKNGE 775
            +FMA L++ D   AARVA+A+ +GKVLRYVG I E+G C V+I EVD  DPL+ VK GE
Sbjct: 717 ESFMARLTEADAAIAARVAEAKAQGKVLRYVGQI-EEGACYVRITEVDATDPLYSVKGGE 775

Query: 776 NALAFYSHYYQPLPLVLRGYGAGNDVTAAGVFADLLRTLSW 816
           NALAFYS YYQP+P VLRGYGAG +VTAAG FAD+LRTL+W
Sbjct: 776 NALAFYSRYYQPIPFVLRGYGAGTEVTAAGAFADVLRTLNW 816


Lambda     K      H
   0.319    0.135    0.384 

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: 1487
Number of extensions: 53
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: 820
Length of database: 822
Length adjustment: 42
Effective length of query: 778
Effective length of database: 780
Effective search space:   606840
Effective search space used:   606840
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: 56 (26.2 bits)

Align candidate 7023927 Shewana3_1139 (bifunctional aspartokinase I/homeserine dehydrogenase I (RefSeq))
to HMM TIGR00657 (aspartate kinase (EC 2.7.2.4))

# 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/TIGR00657.hmm
# target sequence database:        /tmp/gapView.9958.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00657  [M=442]
Accession:   TIGR00657
Description: asp_kinases: aspartate 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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   1.8e-129  418.6   0.4   2.3e-129  418.2   0.4    1.1  1  lcl|FitnessBrowser__ANA3:7023927  Shewana3_1139 bifunctional aspar


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__ANA3:7023927  Shewana3_1139 bifunctional aspartokinase I/homeserine dehydrogenase I (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  418.2   0.4  2.3e-129  2.3e-129       5     441 ..       3     461 ..       1     462 [. 0.92

  Alignments for each domain:
  == domain 1  score: 418.2 bits;  conditional E-value: 2.3e-129
                         TIGR00657   5 VqKFGGtSvgnverikkvakivkkekekgnqvvVVvSAmagvTdaLvelaekvsseee....keliekirekhleal 77 
                                       V+KFGGtS++n +r++ +a+iv k+++ + +v++V+SA+a vT+aL+e+++ + ++e+     + +e+++++ ++ +
  lcl|FitnessBrowser__ANA3:7023927   3 VMKFGGTSLANWQRFSMAADIVAKAAKAE-PVATVLSAPATVTNALLEMVDVAVKGEDyspvIQHVERVFTSLYQDA 78 
                                       9************************9666.**********************9999998666566666666665555 PP

                         TIGR00657  78 eela.sqalkeklkallekeleevkk...............ereldlilsvGEklSaallaaaleelgvkavsllga 138
                                        +   s   + +++ l +   +++ +               +  +++i+  GE+lSaal+ +++ ++g+ +++ l++
  lcl|FitnessBrowser__ANA3:7023927  79 VSSGlS---SSQSEVLFAGLSVQLARwqdrlrgitllqecpDGVRAEIVVAGERLSAALMEQVMLAKGITSAQ-LDP 151
                                       444444...455555555555555555669999***********************************76665.699 PP

                         TIGR00657 139 eagiltdsefgrAkvleeikterlek.lleegiivvvaGFiGatekgeittLGRGGSDltAallAaalkAdeveiyt 214
                                       ++  l  ++ ++++v + +++ r ++ +l+e+ + v+ GF++a+e+g+++tLGR+GSD++Aa+lAa+l+A+ +ei+t
  lcl|FitnessBrowser__ANA3:7023927 152 RELFLGRGRPLESVVDIAVSKPRFKNlALDEKRVWVMPGFTAADEDGKVVTLGRNGSDYSAAVLAACLDASSCEIWT 228
                                       9999**********888888887766268999********************************************* PP

                         TIGR00657 215 DVdGiytaDPrivpeArrldeisyeEalELaslGakvLhprtlepamrakipivvkstfnpeaeGTlivakskseee 291
                                       DVdG+y +DPr+v +A++l ++sy+Ea+EL+++GakvLhp+t+ p++++ ip+ +k++fnp+a+GTl+ ++ + e+ 
  lcl|FitnessBrowser__ANA3:7023927 229 DVDGVYNTDPRVVTDAKLLSQLSYQEAMELSYFGAKVLHPKTIAPIAQFHIPCYIKNSFNPDAPGTLVSNQAD-ESG 304
                                       ***********************************************************************98.666 PP

                         TIGR00657 292 pavkalsldknqalvsvsgttmk..pgilaevfgalaeakvnvdlilqsssetsisfvvdkedadkakellk...kk 363
                                        +vka+s+ +nq++++vsg++mk  +g++++ + a+++ +v+v li+qss e+sisf+v ++da k k++l+   + 
  lcl|FitnessBrowser__ANA3:7023927 305 LQVKAISNLDNQTMFDVSGPGMKgmVGMASRTLAAISRSGVSVSLITQSSCEYSISFCVATSDAAKVKSALEqefEL 381
                                       **********************************************************************9977777 PP

                         TIGR00657 364 vkeekaleevevekklalvslvGagmksapgvaakifeaLaeeniniemis..sseikisvvvdekdaekavealhe 438
                                       + + + le++e+ ++la+vsl+G+gm++++gvaa++f+aLa++ +ni +i+  sse++is+v+++++ ++av a h+
  lcl|FitnessBrowser__ANA3:7023927 382 EIKSDLLEPIEMRHDLAIVSLIGDGMRTHKGVAARFFQALAQASVNIIAIAqgSSERSISTVIEQRKTKHAVAACHQ 458
                                       88999************************************************************************ PP

                         TIGR00657 439 klv 441
                                        ++
  lcl|FitnessBrowser__ANA3:7023927 459 GFF 461
                                       987 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (442 nodes)
Target sequences:                          1  (822 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: 0.02u 0.01s 00:00:00.03 Elapsed: 00:00:00.03
# Mc/sec: 12.06
//
[ok]

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

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer
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

GapMind for Amino acid biosynthesis