Aligments for a candidate for acs in Desulfovibrio vulgaris Hildenborough

GapMind for catabolism of small carbon sources

Aligments for a candidate for acs in Desulfovibrio vulgaris Hildenborough

Align isobutanoate/2-methylbutanoate--CoA ligase (EC 6.2.1.1) (characterized)
to candidate 206897 DVU1453 long-chain-fatty-acid--CoA ligase

Query= metacyc::MONOMER-20125
         (556 letters)



>MicrobesOnline__882:206897
          Length = 564

 Score =  177 bits (450), Expect = 7e-49
 Identities = 153/542 (28%), Positives = 246/542 (45%), Gaps = 41/542 (7%)

Query: 19  FLERAATVYGDCTSVVYDAVSYTWSQTHRRCLCLASSIASLGIENGHVVSVLAPNVPQMY 78
           FL+ AA  +   T++++     ++++        A+++ + G+  G  VSV+ PNVPQ  
Sbjct: 25  FLDEAAERHPKQTAIIFRNYKVSYAKLRLLAERFAANLRAQGVLPGDRVSVMLPNVPQAI 84

Query: 79  ELHFAVPMAGAILNAVNLRLDARTISILLHHSESKLIFVDHLSRDLILEAIALFPKQAPV 138
              + +  AG  +   N     + +   +H S ++ +    ++ DL+   I     +  +
Sbjct: 85  IAFWGLLKAGCTVVMTNPLYMEKELVHQIHDSGAEYM----IALDLVWPKIEPLRDRLGI 140

Query: 139 PRLVFMADESESGNSSELGKEFFC----SYKDLIDRGDPDFKW--VMPKSEW------DP 186
            +          G    L   F      +++D+   G+    W  +  K E       +P
Sbjct: 141 RKFFITRISDALGFPLNLLYRFKAKREGTWRDVPFDGETVIPWKTLFKKKEGYSAKVENP 200

Query: 187 M----ILNYTSGTTSSPKGVV--HCHRGIFIMTVDSLIDWGVPKQPVYLWTLPMFHANGW 240
                +L YT GTT   KGV+  H +  + +  + +++      +  +L  +P FH  G 
Sbjct: 201 REALALLQYTGGTTGISKGVMLTHYNLSVNVQQIKAILGESTRMRHTFLGLMPYFHVYGL 260

Query: 241 SYPWGM-AAVGGTNICLRKFDSEIIYDMIKRHGVTHMCGAPVVLNMLSNAP--GSEPLKT 297
           +    +  A+G T I   ++    +   I +H  T   GAP +   L      G   LK+
Sbjct: 261 TTCLTLPTALGATIIPFPRYVPRDVLVGIDKHKPTIFPGAPSIYISLMQQKDVGEFDLKS 320

Query: 298 TVQIMTAGAPPPSAVLFRTESL-GFAVSHGYGLTETAGLVVSCAWKKEWNHLPATERARL 356
               ++  AP P   + R   L G  V  G+GLTE + +           HL      + 
Sbjct: 321 IKYCISGSAPMPLEHIRRFHELTGAQVIEGFGLTEASPVT----------HLNPIHGVQK 370

Query: 357 KSRQGVGTVMQTKIDVVDPVTGAAVKRDGSTLGEVVLRGGSVMLGYLKDPEGTAKSMTAD 416
               GV     T+  VVD   G      G  +GE+++RG  VM GYL  P+ TA ++  +
Sbjct: 371 PGSIGV-PFPDTEARVVDMEVGLVPLPPGK-IGELIIRGPQVMQGYLNRPDETANTLR-N 427

Query: 417 GWFYTGDVGVMHPDGYLEIKDRSKDVIISGGENLSSVEVESILYSHPDILEAAVVARPDE 476
           GW YTGD+  M  DGY  I DR KD+II GG N+   E++ +L+ HP + EA  V  P  
Sbjct: 428 GWLYTGDIATMDEDGYFFIVDRKKDMIIVGGYNVYPREIDEVLHEHPKVKEAVTVGVPHA 487

Query: 477 FWGETPCAFVSLKKGLTKKPTEKEIVEYCRSKLPRYMVPKTVVFKEELPKTSTGKVQKFI 536
             GE   A++  ++G+  K T+ EIV +CR +L  Y VPK V F+ ELPKT  GKV + I
Sbjct: 488 TRGEIIKAYIVPREGV--KLTKAEIVAHCREQLANYKVPKQVEFRNELPKTIVGKVLRRI 545

Query: 537 LR 538
           LR
Sbjct: 546 LR 547


Lambda     K      H
   0.319    0.135    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: 811
Number of extensions: 51
Number of successful extensions: 6
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 3
Number of HSP's successfully gapped: 2
Length of query: 556
Length of database: 564
Length adjustment: 36
Effective length of query: 520
Effective length of database: 528
Effective search space:   274560
Effective search space used:   274560
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 (21.7 bits)
S2: 53 (25.0 bits)

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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:

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.

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 catabolism of small carbon sources