Alignments for a candidate for dgoK in Paraburkholderia sp. CCGE1002

GapMind for catabolism of small carbon sources

Alignments for a candidate for dgoK in Paraburkholderia sp. CCGE1002

Align 2-keto-3-deoxy-galactonokinase (characterized, see rationale)
to candidate WP_013090558.1 BC1002_RS13360 2-dehydro-3-deoxygalactonokinase

Query= uniprot:B2SYR9
         (350 letters)



>NCBI__GCF_000092885.1:WP_013090558.1
          Length = 371

 Score =  542 bits (1397), Expect = e-159
 Identities = 281/353 (79%), Positives = 305/353 (86%), Gaps = 8/353 (2%)

Query: 4   AGSPTQAAGHAAAVAVDASHEHAALIALDWGTTSLRAYLYDASGNVLATRASTAGIMNLP 63
           AG  ++A     A A D +H  AALIALDWGTTSLRAYL+DA G VLATRASTAGIMNLP
Sbjct: 20  AGVKSEATDGTDAAADDFTH--AALIALDWGTTSLRAYLFDAHGRVLATRASTAGIMNLP 77

Query: 64  RSAEQGGFDAAFDDTCGAWLAHAPAAPVIAAGMVGSAQGWLEAPYVDTPASADALVAGIV 123
           RSA +GGFDAAFDD CGAWL HA   PVIAAGMVGSAQGWLEAPYV+TPA+ADALVAGIV
Sbjct: 78  RSAAEGGFDAAFDDACGAWLDHARGVPVIAAGMVGSAQGWLEAPYVETPANADALVAGIV 137

Query: 124 RVKAACGVTLHIVPGVLQRGELPNVMRGEETQIFGALG------EETNTADSGKRSLIGL 177
           RV+ A G TLHIVPGVLQRGELPNVMRGEETQI GAL       ++ +  DS  RSLIGL
Sbjct: 138 RVQTARGATLHIVPGVLQRGELPNVMRGEETQIVGALSADADGAQDASAVDSNARSLIGL 197

Query: 178 PGTHAKWAVVQADRIERFHTFMTGEVFAALREHTILGRTMLTPDSPDTSAFLHGVNIARE 237
           PGTHAKWA+VQA+RIERFHTFMTGEVFAALREHTILGRTM+TPD PDT AFL GVNIARE
Sbjct: 198 PGTHAKWALVQAERIERFHTFMTGEVFAALREHTILGRTMVTPDRPDTEAFLRGVNIARE 257

Query: 238 KGQAGVLATVFSSRTLGLTGQLSREQQPDYLSGLLIGHELAGLDAVLAQQQSALAGQSLR 297
           KGQAGVLATVFS+RTLGLTG LS E QPDYLSGLLIGHELAGL+AVLAQQ S+LA QSLR
Sbjct: 258 KGQAGVLATVFSTRTLGLTGALSSEAQPDYLSGLLIGHELAGLEAVLAQQGSSLAQQSLR 317

Query: 298 LIGNEALCERYRLALAQFGCTQAELVKHATERGLWRVASQAGLVKPAAKTARA 350
           LIGN+ALCERYRLALAQFGC +AE V+HATERGLWRVA +AGLV+P+A+ ARA
Sbjct: 318 LIGNDALCERYRLALAQFGCLRAEPVRHATERGLWRVAVEAGLVRPSAQAARA 370


Lambda     K      H
   0.318    0.131    0.384 

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: 487
Number of extensions: 11
Number of successful extensions: 2
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: 350
Length of database: 371
Length adjustment: 29
Effective length of query: 321
Effective length of database: 342
Effective search space:   109782
Effective search space used:   109782
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 (21.7 bits)
S2: 49 (23.5 bits)

This GapMind analysis is from Sep 24 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:

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
the source code
instructions for running GapMind on your computer

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