GapMind for catabolism of small carbon sources

 

Aligments for a candidate for bkdA in Azospirillum brasilense Sp245

Align 2-keto-isovalerate dehydrogenase component α subunit (EC 1.2.4.4) (characterized)
to candidate AZOBR_RS22245 AZOBR_RS22245 pyruvate dehydrogenase E1 subunit alpha

Query= metacyc::MONOMER-11683
         (330 letters)



>lcl|FitnessBrowser__azobra:AZOBR_RS22245 AZOBR_RS22245 pyruvate
           dehydrogenase E1 subunit alpha
          Length = 338

 Score =  157 bits (397), Expect = 4e-43
 Identities = 109/311 (35%), Positives = 163/311 (52%), Gaps = 10/311 (3%)

Query: 14  QEAVDMYRTMLLARKIDERMWLLNRSGKIP-FVISCQGQEAAQVGAAFALDREMDYVLPY 72
           ++ +  YR MLL R+ +E+   L   G I  F     GQEA  VG   AL ++ D V+  
Sbjct: 23  EDLIKYYREMLLIRRFEEKAGQLYGMGLIGGFCHLYIGQEAVVVGIQAAL-KDNDDVITS 81

Query: 73  YRDMGVVLAFGMTAKDLM--MSGFAKAADPNSGGRQMPGHFGQKKNRIVTGSSPVTTQVP 130
           YRD G +LA GM  K +M  ++G         GG     H   ++     G   V  QVP
Sbjct: 82  YRDHGHMLACGMDPKGVMAELTGRRGGYSKGKGGSM---HMFSREKNFYGGHGIVGAQVP 138

Query: 131 HAVGIALAGRMEKKDIAAFVTFGEGSSNQGDFHEGANFAAVHKLPVIFMCENNKYAISVP 190
              G+A + +  K D  + V  G+G+ NQG  +E  N AA+ KLPV+++ ENNKYA+   
Sbjct: 139 LGTGLAFSHKYNKDDGLSAVYCGDGAINQGQVYESFNMAALWKLPVLYVIENNKYAMGTS 198

Query: 191 YDKQVACENISDRAIGYGMPGVTVNGNDPLEVYQAVKEARERARRGEGPTLIETISYRLT 250
            ++  A E +  R   YG+PG  VNG D LEV +A  +  E  R G GP ++E  +YR  
Sbjct: 199 QERASAGE-LHQRGAAYGIPGHQVNGMDVLEVREAADKWVEYIRAGNGPVILEMKTYRYR 257

Query: 251 PHSSDDDDSSYRGREEVEEAK-KSDPLLTYQAYLKETGLLSDEIEQTMLDEIMAIVNEAT 309
            HS   D + YR +EEVE+ + +SDP+   +  L E   ++++  + +  E+ A+V EA 
Sbjct: 258 GHSM-SDPAKYRTKEEVEKMRSESDPIDNLKRVLLEGAYVTEDQLKEIDREVKAVVTEAA 316

Query: 310 DEAENAPYAAP 320
           + A+ +P   P
Sbjct: 317 EFAQQSPEPDP 327


Lambda     K      H
   0.316    0.132    0.377 

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: 256
Number of extensions: 13
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: 330
Length of database: 338
Length adjustment: 28
Effective length of query: 302
Effective length of database: 310
Effective search space:    93620
Effective search space used:    93620
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: 49 (23.5 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