Alignments for a candidate for asp-kinase in Thermodesulforhabdus norvegica DSM 9990

GapMind for Amino acid biosynthesis

Alignments for a candidate for asp-kinase in Thermodesulforhabdus norvegica DSM 9990

Align Aspartate kinase; Aspartokinase; EC 2.7.2.4 (characterized)
to candidate WP_093393134.1 BM091_RS02160 aspartate kinase

Query= SwissProt::Q88EI9
         (411 letters)



>NCBI__GCF_900114975.1:WP_093393134.1
          Length = 419

 Score =  448 bits (1152), Expect = e-130
 Identities = 231/405 (57%), Positives = 305/405 (75%), Gaps = 2/405 (0%)

Query: 1   MALIVQKFGGTSVGSIERIEQVAEKVKKHREAGDDLVVVLSAMSGETNRLIDLAKQITDQ 60
           M+LIVQK+GGTSV ++ERI+ VA KV + +  G D+VVVLSA +GET+RLI LA +++  
Sbjct: 1   MSLIVQKYGGTSVANVERIKAVARKVYQRKREGHDIVVVLSARAGETDRLISLAHEVSPN 60

Query: 61  PVPRELDVIVSTGEQVTIALLTMALIKRGVPAVSYTGNQVRILTDSSHNKARILQIDDQK 120
           P PRELD+++STGEQVTIAL  MA+   G  A+S TG Q  I+TD  + +ARI  I+   
Sbjct: 61  PDPRELDMLLSTGEQVTIALFCMAMKDLGQKAISLTGYQAGIMTDDHYGEARITSINTAI 120

Query: 121 IRADLKEGRVVVVAGFQGVDEHGSITTLGRGGSDTTGVALAAALKADECQIYTDVDGVYT 180
           I+  LK+G VV VAGFQG D H +ITTLGRGGSDTT VALAAAL+AD C+IYTDV+GV+T
Sbjct: 121 IKEYLKDGYVVAVAGFQGYDPHHNITTLGRGGSDTTAVALAAALRADICEIYTDVEGVFT 180

Query: 181 TDPRVVPQARRLEKITFEEMLEMASLGSKVLQIRSVEFAGKYNVPLRVLHSFKEGPGTLI 240
           TDP +   AR+L KI++EEMLEMASLG+KVL  R+VEF  K+N+P+ V  SFK+ PGTL+
Sbjct: 181 TDPNICSNARKLSKISYEEMLEMASLGAKVLHARAVEFGMKFNIPILVCSSFKDVPGTLV 240

Query: 241 TIDEEESMEQPIISGIAFNRDEAKLTIRGVPDTPGVAFKILGPISASNIEVDMIVQNVAH 300
           T  E++ ME+ ++SG+ + ++  ++T+  VPD PG+A +I GP+  + I VDMI+Q  + 
Sbjct: 241 T-GEDQDMEKYVVSGVTYTKNVGRITVTDVPDVPGMAARIFGPVGEAGINVDMIIQGSSG 299

Query: 301 -DNTTDFTFTVHRNEYEKAQSVLENTAREIGAREVIGDTKIAKVSIVGVGMRSHAGVASC 359
                + +FTV ++ YEKA  ++   AR+IGA EV G+ +IAKVSIVGVGM+SH+GVA  
Sbjct: 300 IPGKANISFTVSKSNYEKAMELVREIARDIGAGEVHGNDRIAKVSIVGVGMKSHSGVAGK 359

Query: 360 MFEALAKESINIQMISTSEIKVSVVLEEKYLELAVRALHTAFDLD 404
           MF ALA E+INI MISTSEIK+SVV++EKY ELAVR LH  F+LD
Sbjct: 360 MFSALAAENINIMMISTSEIKISVVIDEKYTELAVRVLHDTFELD 404


Lambda     K      H
   0.316    0.133    0.358 

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: 492
Number of extensions: 21
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: 411
Length of database: 419
Length adjustment: 31
Effective length of query: 380
Effective length of database: 388
Effective search space:   147440
Effective search space used:   147440
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.6 bits)
S2: 50 (23.9 bits)

Align candidate WP_093393134.1 BM091_RS02160 (aspartate kinase)
to HMM TIGR00656 (aspartate kinase, monofunctional class (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/TIGR00656.hmm
# target sequence database:        /tmp/gapView.2972643.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00656  [M=407]
Accession:   TIGR00656
Description: asp_kin_monofn: aspartate kinase, monofunctional class
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   6.3e-144  465.8   7.7   7.1e-144  465.7   7.7    1.0  1  NCBI__GCF_900114975.1:WP_093393134.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_900114975.1:WP_093393134.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  465.7   7.7  7.1e-144  7.1e-144       1     406 [.       1     403 [.       1     404 [. 0.98

  Alignments for each domain:
  == domain 1  score: 465.7 bits;  conditional E-value: 7.1e-144
                             TIGR00656   1 veliVqKFGGtsvgsserikkaakivlkelkegkkvvVVvSAmskvtdelvelaellklleaisdeisprerd 73 
                                           ++liVqK+GGtsv+++erik++a++v ++++eg++ vVV+SA +++td+l++la      + +s ++ pre d
  NCBI__GCF_900114975.1:WP_093393134.1   1 MSLIVQKYGGTSVANVERIKAVARKVYQRKREGHDIVVVLSARAGETDRLISLA------HEVSPNPDPRELD 67 
                                           679***************************************************......89*********** PP

                             TIGR00656  74 elvsvGEllssallssalrelgvkaealdgkeagilTddefgnAkikelateerLlelLeegiivvvaGFiGa 146
                                           +l+s+GE++++al+ +a+++lg+ka++l+g +agi+Tdd++g+A+i++++t   + e L++g++v vaGF+G 
  NCBI__GCF_900114975.1:WP_093393134.1  68 MLLSTGEQVTIALFCMAMKDLGQKAISLTGYQAGIMTDDHYGEARITSINT-AIIKEYLKDGYVVAVAGFQGY 139
                                           ***************************************************.99******************* PP

                             TIGR00656 147 teeGeiTtLGRGGSDltAallaaalkAdrveiyTDVeGvyttDPrvveeakkidkisyeEalelAtlGakvlh 219
                                           + + +iTtLGRGGSD+tA++laaal Ad++eiyTDVeGv+ttDP++ ++a+k+ kisyeE+le+A+lGakvlh
  NCBI__GCF_900114975.1:WP_093393134.1 140 DPHHNITTLGRGGSDTTAVALAAALRADICEIYTDVEGVFTTDPNICSNARKLSKISYEEMLEMASLGAKVLH 212
                                           ************************************************************************* PP

                             TIGR00656 220 pralelaveakvpilvrsskekeegTlitn...kkensslvkaialeknvarltvegegmlgkrgilaeifka 289
                                            ra+e+ ++ ++pilv ss++   gTl+t    ++e+  +v++++++knv r+tv+  ++ + +g++a+if+ 
  NCBI__GCF_900114975.1:WP_093393134.1 213 ARAVEFGMKFNIPILVCSSFKDVPGTLVTGedqDMEK-YVVSGVTYTKNVGRITVT--DVPDVPGMAARIFGP 282
                                           *****************************97645555.5*****************..*************** PP

                             TIGR00656 290 Laeeeinvdlisqtese....tsislvvdeedvdeakkaLkeesgaaelesleveedlavvsivgaglveapG 358
                                           ++e++invd+i+q++s      +is++v++ + ++a ++ +e   +++  +++ +  +a+vsivg+g+++++G
  NCBI__GCF_900114975.1:WP_093393134.1 283 VGEAGINVDMIIQGSSGipgkANISFTVSKSNYEKAMELVREIARDIGAGEVHGNDRIAKVSIVGVGMKSHSG 355
                                           **************9877787**************************************************** PP

                             TIGR00656 359 vaseifkaleekninilmisssetkisvlvdekdaekavrklheklee 406
                                           va+++f+al+ +nini+mis+se+kisv++dek++e avr lh+++e+
  NCBI__GCF_900114975.1:WP_093393134.1 356 VAGKMFSALAAENINIMMISTSEIKISVVIDEKYTELAVRVLHDTFEL 403
                                           **********************************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (407 nodes)
Target sequences:                          1  (419 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 0.01s 00:00:00.01 Elapsed: 00:00:00.01
# Mc/sec: 14.97
//
[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:

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