Aligments for a candidate for bkdC in Phaeobacter inhibens BS107

GapMind for catabolism of small carbon sources

Aligments for a candidate for bkdC in Phaeobacter inhibens BS107

Align Lipoamide acyltransferase component of branched-chain alpha-keto acid dehydrogenase complex; EC 2.3.1.168; Branched-chain alpha-keto acid dehydrogenase complex component E2; BCKAD-E2; BCKADE2; Dihydrolipoamide acetyltransferase component of branched-chain alpha-keto acid dehydrogenase complex; Dihydrolipoamide branched chain transacylase; Dihydrolipoyllysine-residue (2-methylpropanoyl)transferase (uncharacterized)
to candidate GFF348 PGA1_c03590 dihydrolipoyllysine-residue succinyltransferase component of 2-oxoglutarate dehydrogenase complex

Query= curated2:P37942
         (424 letters)



>FitnessBrowser__Phaeo:GFF348
          Length = 516

 Score =  245 bits (626), Expect = 2e-69
 Identities = 152/420 (36%), Positives = 218/420 (51%), Gaps = 23/420 (5%)

Query: 2   AIEQMTMPQLGESVTEGTISKWLVAPGDKVNKYDPIAEVMTDKVNAEVPSSFTGTITELV 61
           A   + +P LGESV+E T+S W    GD V + + + E+ TDKV+ EVP+   G +TE+ 
Sbjct: 105 AATDVMVPTLGESVSEATVSTWFKKVGDSVAQDEMLCELETDKVSVEVPAPTAGILTEIT 164

Query: 62  GEEGQTLQVGEMICKI---ETEGANPAEQKQEQPAASEAAENPVAKSAGAADQPNKKRYS 118
            EEG T+     +  I   E     P   K E    ++    P  +   A D  N    +
Sbjct: 165 AEEGSTVDATAKLGVISGGEAGAVTPTPSKGETAGGAQYTTPPAGQGGPAKDIAN----A 220

Query: 119 PAVLRLAGEHGIDLDQVTGTGAGGRITRKDIQRLIETGGVQEQNPEELKTAAPAPKSASK 178
           P+  +   E G+  DQV G+G  GRI + D+ R +               AAPA  S S 
Sbjct: 221 PSAEKAMAEAGLSADQVQGSGRDGRIMKDDVARAVAAAA-----------AAPAA-STSA 268

Query: 179 PEPKEETSYPASA---AGDKEIPVTGVRKAIASNMKRSKTEIPHAWTMMEVDVTNMVAYR 235
           P        P +A   A ++ + +T +R+ IA  +K S+       T  EVD+T ++A R
Sbjct: 269 PAAAAPVRAPVAADDAAREERVKMTRLRQTIAKRLKDSQNTAAMLTTYNEVDMTEVMALR 328

Query: 236 NSIKDSFKKTEGFNLTFFAFFVKAVAQALKEFPQMNSMWAGDKIIQKKDINISIAVATED 295
           N  KD F K  G  L F +FF KA   AL E P++N+   G  I+ K  +++ IA  T  
Sbjct: 329 NEYKDLFLKKHGVKLGFMSFFTKACVHALNEVPEVNAEIDGTDIVYKNFVHMGIAAGTPT 388

Query: 296 SLFVPVIKNADEKTIKGIAKDITGLAKKVRDGKLTADDMQGGTFTVNNTGSFGSVQSMGI 355
            L VPVI++AD  +   I K I     + RDGKL+  +MQGGTFT++N G +GS+ S  I
Sbjct: 389 GLVVPVIRDADAMSFADIEKAIAEKGARARDGKLSMAEMQGGTFTISNGGVYGSLMSSPI 448

Query: 356 INYPQAAILQVESIVKRPVVMDNGMIAVRDMVNLCLSLDHRVLDGLVCGRFLGRVKQILE 415
           +N PQ+ IL +  I  RP+ + NG + +R M+ L LS DHR++DG     FL RVK+ LE
Sbjct: 449 LNPPQSGILGMHKIQDRPMAI-NGKVEIRPMMYLALSYDHRIVDGKGAVTFLVRVKEALE 507



 Score = 71.2 bits (173), Expect = 7e-17
 Identities = 39/105 (37%), Positives = 59/105 (56%), Gaps = 2/105 (1%)

Query: 5   QMTMPQLGESVTEGTISKWLVAPGDKVNKYDPIAEVMTDKVNAEVPSSFTGTITELVGEE 64
           ++ +P LGESVTE T++ W   PGD V   + + E+ TDKV  EVP+   GT+ E+V  E
Sbjct: 4   EVRVPTLGESVTEATVATWFKKPGDAVAADEMLCELETDKVTVEVPAPAAGTLGEIVAAE 63

Query: 65  GQTLQVGEMICKIETEGANPAEQKQEQPAASEAAENPVAKSAGAA 109
           G+T+ V  ++  I   G++ A       +A  A ++     AGAA
Sbjct: 64  GETVGVDALLATIAEGGSDTA--AAPATSAPAATKDAAEGDAGAA 106


Lambda     K      H
   0.312    0.129    0.359 

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: 494
Number of extensions: 26
Number of successful extensions: 7
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 424
Length of database: 516
Length adjustment: 33
Effective length of query: 391
Effective length of database: 483
Effective search space:   188853
Effective search space used:   188853
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.2 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 42 (21.9 bits)
S2: 51 (24.3 bits)

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

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Protein sequences (fasta format)
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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, 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