Alignments for a candidate for asp-kinase in Rhodospirillum rubrum ATCC 11170

GapMind for Amino acid biosynthesis

Alignments for a candidate for asp-kinase in Rhodospirillum rubrum ATCC 11170

Align aspartate kinase (EC 2.7.2.4) (characterized)
to candidate WP_011388501.1 RRU_RS03870 aspartate kinase

Query= BRENDA::O69077
         (412 letters)



>NCBI__GCF_000013085.1:WP_011388501.1
          Length = 406

 Score =  459 bits (1180), Expect = e-134
 Identities = 245/407 (60%), Positives = 311/407 (76%), Gaps = 3/407 (0%)

Query: 1   MALIVQKFGGTSVGTVERIEQVAEKVKKFREAGDDVVVVVSAMSGETNRLIGLANQIMEQ 60
           MA IV KFGGTSVG V+RI  VA +VK   +AG++V VVVSAMSGETNRL+G  + +   
Sbjct: 1   MARIVMKFGGTSVGDVDRIRNVARRVKAEVDAGNEVAVVVSAMSGETNRLVGFCDSMTNM 60

Query: 61  PVPRELDVMVSTGEQVTIALLSMALIKRGVPAVSYTGNQVRILTDSAHTKARILHIDDTH 120
              RE D +V+TGEQVTI LL++AL   GV A S+ G Q+ I TD AH KARIL ID T 
Sbjct: 61  YDAREYDAVVATGEQVTIGLLAIALQDIGVEARSWMGWQIPIHTDEAHGKARILSIDTTV 120

Query: 121 IRADLKAGRVVVVAGFQGVDGNGNITTLGRGGSDTTGVALAAALKADECQIYTDVDGVYT 180
           +   L +G+V VVAGFQG+  N  +TTLGRGGSDT+ VALAAALKAD C IYTDVDGVYT
Sbjct: 121 LEQRLASGQVAVVAGFQGLGPNNRVTTLGRGGSDTSAVALAAALKADRCDIYTDVDGVYT 180

Query: 181 TDPRVVPQARRLDKITFEEMLEMASLGSKVLQIRAVEFAGKYNVPLRVLHSFQEGPGTLI 240
           TDPR+VP+AR+LD+IT+EEMLE ASLG+KVLQ R+VE A K+ V +RVL SF + PGTL+
Sbjct: 181 TDPRIVPKARKLDRITYEEMLEQASLGAKVLQTRSVEMAMKHRVRVRVLSSFSDAPGTLV 240

Query: 241 TIDDEEESMEQPIISGIAFNRDEAKLTIRGVPDTPGVAFKILGPISAANVEVDMIVQNVA 300
              DE+E +E+ ++SGIA++RDEAK+T+  V D PGVA +I GP++ AN+ VDMIVQNV+
Sbjct: 241 C--DEDEIVEKELVSGIAYSRDEAKITLVKVSDRPGVAARIFGPLADANINVDMIVQNVS 298

Query: 301 HD-NTTDFTFTVHRNDYLNALEILKQTAANIGAREAIGDTNIAKVSIVGVGMRSHAGVAS 359
            D ++TD TFT+ R+D   AL++L+    +I  RE    + + KVS++GVGMRSHAGVA 
Sbjct: 299 EDGHSTDLTFTLPRSDLARALKVLEGARDDINYRELTTSSAVVKVSVIGVGMRSHAGVAQ 358

Query: 360 RMFEALAKESINIQMISTSEIKVSVVIEEKYLELAVRALHTAFELDA 406
            MF AL+++ INI +ISTSEIKVSV+I E+Y+ELAVRALH+A+ LDA
Sbjct: 359 TMFRALSEKGINIHVISTSEIKVSVLIAEEYMELAVRALHSAYGLDA 405


Lambda     K      H
   0.317    0.133    0.362 

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: 435
Number of extensions: 11
Number of successful extensions: 4
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: 412
Length of database: 406
Length adjustment: 31
Effective length of query: 381
Effective length of database: 375
Effective search space:   142875
Effective search space used:   142875
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 (21.7 bits)
S2: 50 (23.9 bits)

Align candidate WP_011388501.1 RRU_RS03870 (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.3632100.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   5.4e-137  443.0  10.5     6e-137  442.9  10.5    1.0  1  NCBI__GCF_000013085.1:WP_011388501.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000013085.1:WP_011388501.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  442.9  10.5    6e-137    6e-137       3     405 ..       3     402 ..       1     404 [. 0.98

  Alignments for each domain:
  == domain 1  score: 442.9 bits;  conditional E-value: 6e-137
                             TIGR00656   3 liVqKFGGtsvgsserikkaakivlkelkegkkvvVVvSAmskvtdelvelaellklleaisdeisprerdel 75 
                                            iV+KFGGtsvg+++ri+++a++v++e+  g++v VVvSAms++t++lv +       +++ +    re d +
  NCBI__GCF_000013085.1:WP_011388501.1   3 RIVMKFGGTSVGDVDRIRNVARRVKAEVDAGNEVAVVVSAMSGETNRLVGFC------DSMTNMYDAREYDAV 69 
                                           59**************************************************......69999999******* PP

                             TIGR00656  76 vsvGEllssallssalrelgvkaealdgkeagilTddefgnAkikelateerLlelLeegiivvvaGFiGate 148
                                           v++GE++++ ll+ al++ gv+a++  g++ +i Td+ +g+A+i +++t   L+++L+ g++ vvaGF+G   
  NCBI__GCF_000013085.1:WP_011388501.1  70 VATGEQVTIGLLAIALQDIGVEARSWMGWQIPIHTDEAHGKARILSIDT-TVLEQRLASGQVAVVAGFQGLGP 141
                                           *************************************************.*********************** PP

                             TIGR00656 149 eGeiTtLGRGGSDltAallaaalkAdrveiyTDVeGvyttDPrvveeakkidkisyeEalelAtlGakvlhpr 221
                                           + ++TtLGRGGSD++A++laaalkAdr++iyTDV+GvyttDPr+v++a+k+d+i+yeE+le A+lGakvl+ r
  NCBI__GCF_000013085.1:WP_011388501.1 142 NNRVTTLGRGGSDTSAVALAAALKADRCDIYTDVDGVYTTDPRIVPKARKLDRITYEEMLEQASLGAKVLQTR 214
                                           ************************************************************************* PP

                             TIGR00656 222 alelaveakvpilvrsskekeegTlitn..kkensslvkaialeknvarltvegegmlgkrgilaeifkaLae 292
                                           ++e+a++  v ++v ss++   gTl+++  +  +++lv++ia++++ a++t++  ++ +++g++a+if+ La+
  NCBI__GCF_000013085.1:WP_011388501.1 215 SVEMAMKHRVRVRVLSSFSDAPGTLVCDedEIVEKELVSGIAYSRDEAKITLV--KVSDRPGVAARIFGPLAD 285
                                           ****************************55455669*****************..****************** PP

                             TIGR00656 293 eeinvdlisqtese....tsislvvdeedvdeakkaLkeesgaaelesleveedlavvsivgaglveapGvas 361
                                           ++invd+i+q  se    t++++++ + d+ +a k+L+   +++++++l + + + +vs++g+g++++ Gva+
  NCBI__GCF_000013085.1:WP_011388501.1 286 ANINVDMIVQNVSEdghsTDLTFTLPRSDLARALKVLEGARDDINYRELTTSSAVVKVSVIGVGMRSHAGVAQ 358
                                           *************99********************************************************** PP

                             TIGR00656 362 eifkaleekninilmisssetkisvlvdekdaekavrklhekle 405
                                            +f al+ek+ini  is+se+k+svl+ e+++e avr+lh+++ 
  NCBI__GCF_000013085.1:WP_011388501.1 359 TMFRALSEKGINIHVISTSEIKVSVLIAEEYMELAVRALHSAYG 402
                                           ****************************************9985 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (407 nodes)
Target sequences:                          1  (406 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 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 22.99
//
[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