GapMind for catabolism of small carbon sources

 

Aligments for a candidate for dgoK in Pseudomonas fluorescens GW456-L13

Align 2-dehydro-3-deoxygluconokinase; 2-keto-3-deoxygluconokinase; 3-deoxy-2-oxo-D-gluconate kinase; KDG kinase; EC 2.7.1.45 (characterized)
to candidate PfGW456L13_2869 2-dehydro-3-deoxygluconate kinase (EC 2.7.1.45)

Query= SwissProt::P45416
         (310 letters)



>lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_2869
           2-dehydro-3-deoxygluconate kinase (EC 2.7.1.45)
          Length = 310

 Score =  295 bits (754), Expect = 1e-84
 Identities = 161/303 (53%), Positives = 195/303 (64%), Gaps = 5/303 (1%)

Query: 3   TKNIAIIGECMIELSQKG-ADLNRGFGGDTLNTAVYISRQVKPDALDVHYVTALGTDSFS 61
           T  IA+IGECMIEL  +    L + FGGDTLNTAVY+SR++  D   V YVTALG DSFS
Sbjct: 11  TPRIALIGECMIELQHRADGSLQQSFGGDTLNTAVYLSRELGEDG-SVDYVTALGDDSFS 69

Query: 62  SEMMASWQKEGVKTDLIQRLDNKLPGLYFIETDATGERTFYYWRNDAAARYWLESPDADT 121
             M  SW  E +   ++QRL  +LPGLY I+TDA GER F YWRN+AA R    +P A  
Sbjct: 70  DAMCQSWAAENIGLAMVQRLPGRLPGLYCIQTDAAGERRFLYWRNEAAVRDCFTTPAAAP 129

Query: 122 ISQQLAQFDYIYLSGISLAILNQASRARLLTVLRACRANGGKVIFDNNYRPRLWQSKEET 181
           I   L  +D +Y SGI+LA+L    R +LL  L   R    +++FDNNYRPRLW S E+ 
Sbjct: 130 ILAALPDYDVLYFSGITLAVLGAQGREKLLETLIEARQRDARIVFDNNYRPRLWASVEDA 189

Query: 182 RQAYSDMLACTDIAFLTLDDEDMLWGELPVDEVLKRTHGAGVMEVVIKRGADACLVSIQG 241
           R AY  +LA  D+A LT+DDE  L+G    D V       G  EVV+KRGA ACL+   G
Sbjct: 190 RAAYRSVLAYVDLALLTVDDEQALFGYADGDAVFAAYEQIGTPEVVLKRGAQACLICCDG 249

Query: 242 EALLEVPAIKLPKEKVVDTTAAGDSFSAGYLSVRLNGGSAQDAAKRGHLTASTVIQYRGA 301
           E+  EVPA K+  E+VVDTTAAGDSFSA YL+ RL GGS   AA+ GH  AS VIQ  GA
Sbjct: 250 ES-FEVPAQKV--ERVVDTTAAGDSFSAAYLASRLKGGSPSQAAEAGHRLASRVIQVPGA 306

Query: 302 IIP 304
           +IP
Sbjct: 307 LIP 309


Lambda     K      H
   0.318    0.134    0.390 

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: 288
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: 310
Length of database: 310
Length adjustment: 27
Effective length of query: 283
Effective length of database: 283
Effective search space:    80089
Effective search space used:    80089
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: 48 (23.1 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