GapMind for catabolism of small carbon sources

 

Alignments for a candidate for gci in Echinicola vietnamensis KMM 6221, DSM 17526

Align D-galactarolactone cycloisomerase (EC 5.5.1.27) (characterized)
to candidate Echvi_3769 Echvi_3769 L-alanine-DL-glutamate epimerase and related enzymes of enolase superfamily

Query= BRENDA::A9CEQ8
         (378 letters)



>FitnessBrowser__Cola:Echvi_3769
          Length = 386

 Score =  142 bits (358), Expect = 2e-38
 Identities = 114/359 (31%), Positives = 173/359 (48%), Gaps = 33/359 (9%)

Query: 32  VLVEIECDDGTVGWGECL--GPARPNAAVVQAYSGWLIGQDPRQTEKIWAVLYNALRDQG 89
           + V+I    G VGWGE +  G A   AA V+    +LIG+   + E IW VLY   R   
Sbjct: 20  LFVKITTKSGLVGWGEPVIEGKADTVAACVREMEQYLIGRGAHEIEDIWQVLY---RGGF 76

Query: 90  QRG--LSLTALSGIDIALWDIKGKHYGASISMLLGGRWRESVRAYATGSFKRDNVDRVSD 147
            RG  + ++ALSGID ALWDIKGKH    +  LLGG  R+ ++ Y       D+ + V +
Sbjct: 77  YRGGPILMSALSGIDQALWDIKGKHLNVPVYELLGGAVRQKMKMYCW--IGGDHPEVVLE 134

Query: 148 NASEMAERRAEGFHACKIKIG------FGVEEDLRV---IAAVREAIGPDMRLMIDANHG 198
            A E  +    G+ A K+           V+E  +V   I  +R+  G  + + +D +  
Sbjct: 135 QAQEKVDA---GYTAVKMNATGEMDWVSSVKEVKKVVENIKLIRQHFGDSLDVGLDFHGR 191

Query: 199 YTVTEAITLGDRAAGFGIDWFEEPVVPEQLDAYARVRAGQPIPVAGGETWHGRYGMWQAL 258
                   L D  + F   + EEPV+ E  DA   +     IP+A GE    R+   + L
Sbjct: 192 VHKPMVKRLIDELSPFDPLFIEEPVLAENNDALGHIYRYSAIPIATGERMFSRWDFKEIL 251

Query: 259 SAGAVDILQPDLCGCGGFSEIQKIATLATLHGVRIVPHVWGTGVQIAAAL--QFMAA--- 313
             G VDI+QPDL   GG SE+++IAT+A  + + I PH     + +A+AL   F++A   
Sbjct: 252 HQGVVDIIQPDLSHAGGISEVRRIATMAEAYDITIAPHCPLGPISLASALHVDFVSANAF 311

Query: 314 MTPDPVRVNPIEPIMEFDRTHNPFRQAVLREPLEAVNGVVTIPDGPGLGIEINRDALTE 372
           +    + ++  +     D   NP       E  +   G + + D PGLG+E++ + L E
Sbjct: 312 IQESSLGIHYNQGFDLLDYVKNP-------EVFDLKEGYIDLFDRPGLGVEMDEERLKE 363


Lambda     K      H
   0.321    0.138    0.431 

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: 392
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: 378
Length of database: 386
Length adjustment: 30
Effective length of query: 348
Effective length of database: 356
Effective search space:   123888
Effective search space used:   123888
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