GapMind for catabolism of small carbon sources

 

Aligments for a candidate for bch in Shewanella sp. ANA-3

Align 3-hydroxy-isobutyryl-CoA hydrolase (EC 3.1.2.4) (characterized)
to candidate 7025616 Shewana3_2767 enoyl-CoA hydratase/isomerase (RefSeq)

Query= reanno::pseudo3_N2E3:AO353_25665
         (368 letters)



>FitnessBrowser__ANA3:7025616
          Length = 383

 Score =  252 bits (644), Expect = 1e-71
 Identities = 148/334 (44%), Positives = 205/334 (61%), Gaps = 13/334 (3%)

Query: 28  IGHLTLNRPAGLNAITLDMVRSLHRQLDAWSKDPHIHAVVLRGAGEKAFCAGGDIRSLYD 87
           +G +TLN    LNA+ LDMVR++  QL+ W KDP I  VVL G+GEKAFCAGGD+R+LY 
Sbjct: 30  VGVVTLNVEKALNALDLDMVRAMTVQLNLWKKDPLIACVVLDGSGEKAFCAGGDVRALYH 89

Query: 88  -SFKSGGTLHED---FFVEEYALDLAIHHYRKPVLALMDGFVLGGGMGLVQGADLRVVTE 143
            S  + G + E    FF EEY LD  +H Y KPVL   DG V+GGG+GL+ GA  RVVTE
Sbjct: 90  ASVAAKGQVTEVAKVFFEEEYRLDYLLHTYGKPVLVWGDGIVMGGGLGLMAGASHRVVTE 149

Query: 144 RSRLAMPEVAIGYFPDVGGSYFLPRIPGELGIYLGVSGVQIRAADALYCGLADWYLESQK 203
            SR+AMPEV IG +PDVGGSYFL R+PG++G++LG++  Q+ AADA Y GLAD YL    
Sbjct: 150 TSRIAMPEVTIGLYPDVGGSYFLNRMPGKMGLFLGLTAYQMNAADACYVGLADHYLNRDD 209

Query: 204 LAELDQHLDSLEWHDTPL---KDLQGLLAKLALQ-QLP--DAPLQALRPTIDHFFALPDV 257
              +   + +L+W DTP    + L  ++ +L+ Q  +P  D+ L   +  ID   A   +
Sbjct: 210 KELMFDAMATLDWSDTPALNHQRLDTMINELSNQVDIPKGDSLLAESQEMIDRLMA-GSL 268

Query: 258 PSIVEQLRTVTVADSHDWAMTTADLLDSRSPLAMGVTLEMLRRGRQLSLENCFALELHLD 317
             IV ++ T++  ++  W       + + SP++  +     + G +LSL  CF  EL + 
Sbjct: 269 TDIVSRMSTLSTEEA--WLNKACATMLAGSPISWHLAYIQTQLGTKLSLAQCFKWELTVS 326

Query: 318 RQWFERGDLIEGVRALLIDKDKSPRWNPPTVQAL 351
                +GD  EGVRALLIDKD+ P+W    VQ++
Sbjct: 327 VNTCAKGDFCEGVRALLIDKDRQPKWQFADVQSV 360


Lambda     K      H
   0.321    0.138    0.418 

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: 342
Number of extensions: 15
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: 368
Length of database: 383
Length adjustment: 30
Effective length of query: 338
Effective length of database: 353
Effective search space:   119314
Effective search space used:   119314
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: 50 (23.9 bits)

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

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:

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:

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