Aligments for a candidate for hisC in Paraburkholderia bryophila 376MFSha3.1

GapMind for Amino acid biosynthesis

Aligments for a candidate for hisC in Paraburkholderia bryophila 376MFSha3.1

Align Histidinol-phosphate aminotransferase 2; EC 2.6.1.9; Imidazole acetol-phosphate transaminase 2 (uncharacterized)
to candidate H281DRAFT_01942 H281DRAFT_01942 histidinol-phosphate aminotransferase

Query= curated2:Q62FC0
         (356 letters)



>FitnessBrowser__Burk376:H281DRAFT_01942
          Length = 359

 Score =  532 bits (1370), Expect = e-156
 Identities = 265/356 (74%), Positives = 301/356 (84%)

Query: 1   MSRYWSDIVRQLEPYVPGEQPALAHPVKLNTNENPYPPSPRALDAIRRELGDTGEALRRY 60
           +SRYWSDIV +L PYVPGEQP LA PVKLNTNENPYPPSPR L+AIR+ELGD GE+LRRY
Sbjct: 1   LSRYWSDIVHRLTPYVPGEQPLLARPVKLNTNENPYPPSPRVLEAIRQELGDAGESLRRY 60

Query: 61  PDPVARRLRETVAAYHGIAPEQVFAGNGSDEVLAHAFQALLQHDRPLRFPDITYSFYPTY 120
           PDP A +LRETVAAYHGI  +QVFAGNGSDEVLA  FQALL+HD+PL FPDITYSFYPTY
Sbjct: 61  PDPTAFKLRETVAAYHGIRADQVFAGNGSDEVLALTFQALLKHDKPLLFPDITYSFYPTY 120

Query: 121 ARLYRVAYETVPLAGDFSIVVDDYLDDAGCVLFPNPNAPTGRALPLADIERIVAANPSSV 180
           ARL+ V Y+T+PL   F+I VDDY    G +LFPNPNAPTGR LPLADIER+V  +  SV
Sbjct: 121 ARLFEVDYQTIPLDDSFAINVDDYAIANGGILFPNPNAPTGRPLPLADIERLVKKSADSV 180

Query: 181 VVIDEAYVDFGAESAVSLIARYPNLLVVHTVSKARSLAGMRVGFAFGDAALIDALTRVKD 240
           VVIDEAYVDFGAESA+ LI RYPNLLVV TVSK+RSLAGMRVGFAFG+A LIDAL RVKD
Sbjct: 181 VVIDEAYVDFGAESAIGLIDRYPNLLVVQTVSKSRSLAGMRVGFAFGNAELIDALNRVKD 240

Query: 241 SFNSYPLDRLAQVATQASYEDEAWFQATRKQVIASRERLVGALAALGFDVVPSAANFVFA 300
           SFNSYPLDRLAQVA +A+YED+ WF+ T  +VIASRERL   L ALGFDVVPSAAN +FA
Sbjct: 241 SFNSYPLDRLAQVAARAAYEDDRWFRDTCAKVIASRERLSAGLTALGFDVVPSAANLLFA 300

Query: 301 RPRSHDAATLAAQLKQREIFVRHFKLPRIDQHLRITVGSDAECDALVAALRELLAA 356
           R  ++DAA L + L++REIFVRHF  PRIDQHLRI+VG+DAEC  L+ ALR++ +A
Sbjct: 301 RHEAYDAAMLVSLLREREIFVRHFNAPRIDQHLRISVGTDAECGVLLDALRDIFSA 356


Lambda     K      H
   0.322    0.136    0.400 

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: 507
Number of extensions: 15
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: 356
Length of database: 359
Length adjustment: 29
Effective length of query: 327
Effective length of database: 330
Effective search space:   107910
Effective search space used:   107910
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 (21.9 bits)
S2: 49 (23.5 bits)

Align candidate H281DRAFT_01942 H281DRAFT_01942 (histidinol-phosphate aminotransferase)
to HMM TIGR01141 (hisC: histidinol-phosphate transaminase (EC 2.6.1.9))

# 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/TIGR01141.hmm
# target sequence database:        /tmp/gapView.12366.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01141  [M=349]
Accession:   TIGR01141
Description: hisC: histidinol-phosphate transaminase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                    -----------
    1.3e-93  299.6   0.0    1.5e-93  299.4   0.0    1.0  1  lcl|FitnessBrowser__Burk376:H281DRAFT_01942  H281DRAFT_01942 histidinol-phosp


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Burk376:H281DRAFT_01942  H281DRAFT_01942 histidinol-phosphate aminotransferase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  299.4   0.0   1.5e-93   1.5e-93       4     349 .]       9     353 ..       6     353 .. 0.94

  Alignments for each domain:
  == domain 1  score: 299.4 bits;  conditional E-value: 1.5e-93
                                    TIGR01141   4 ikklepYqpgarelgekevvkLnsnEnPfgpsekvkealkeelk....klhrYpdpqalelkeala 65 
                                                  ++ l+pY+pg++ l     vkLn+nEnP++ps++v+ea+++el     +l+rYpdp a++l+e++a
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942   9 VHRLTPYVPGEQPLLA-RPVKLNTNENPYPPSPRVLEAIRQELGdageSLRRYPDPTAFKLRETVA 73 
                                                  7889*****9888777.5*************************888889***************** PP

                                    TIGR01141  66 kylgveeenillgnGsdelielliraflepgdavlvleptysmYevsakiagaevkevplkedgqe 131
                                                  +y g+ ++++++gnGsde++ l ++a+l+  +  l+++ tys Y+++a++ +++++++pl++++  
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942  74 AYHGIRADQVFAGNGSDEVLALTFQALLKHDKPLLFPDITYSFYPTYARLFEVDYQTIPLDDSFAI 139
                                                  ***************************************************************988 PP

                                    TIGR01141 132 dleavleaakekvklvflasPnnPtGnllkreeiekvleevedalVVvDeAYieFseeasvlella 197
                                                  ++++ + a +     + + +Pn+PtG  l  ++ie+++++++d +VV+DeAY++F  e s++ l+ 
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942 140 NVDDYAIA-NG---GILFPNPNAPTGRPLPLADIERLVKKSADSVVVIDEAYVDFGAE-SAIGLID 200
                                                  99888832.22...35679*********************99***************7.******* PP

                                    TIGR01141 198 eypnlvvlrTlSKafgLAglRvGyaianaeiiealekvrapyn...vsslaleaavaalrdsdkie 260
                                                  +ypnl+v++T+SK+ +LAg+RvG+a++nae+i+al++v++++n   +++la+ aa aa++d++ ++
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942 201 RYPNLLVVQTVSKSRSLAGMRVGFAFGNAELIDALNRVKDSFNsypLDRLAQVAARAAYEDDRWFR 266
                                                  ***************************************87543339******************* PP

                                    TIGR01141 261 ktveevkkererlleelkkleglevyeSkaNFvlikvke.daeelleallekgiivRdlksaegll 325
                                                  +t ++v+++rerl ++l++l g++v++S aN ++++ ++ da+ l+  l e++i vR++++    +
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942 267 DTCAKVIASRERLSAGLTAL-GFDVVPSAANLLFARHEAyDAAMLVSLLREREIFVRHFNAP--RI 329
                                                  ********************.8**************99999******************944..68 PP

                                    TIGR01141 326 eeclRitvGtreenerllealkei 349
                                                  +++lRi+vGt+ e+  ll+al++i
  lcl|FitnessBrowser__Burk376:H281DRAFT_01942 330 DQHLRISVGTDAECGVLLDALRDI 353
                                                  ********************9975 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (349 nodes)
Target sequences:                          1  (359 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: 7.83
//
[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:

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, 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

GapMind for Amino acid biosynthesis