GapMind for catabolism of small carbon sources

 

Aligments for a candidate for bkdA in Pseudomonas fluorescens FW300-N2E3

Align 2-keto-isovalerate dehydrogenase component α subunit (EC 1.2.4.4) (characterized)
to candidate AO353_25160 AO353_25160 ABC transporter substrate-binding protein

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



>FitnessBrowser__pseudo3_N2E3:AO353_25160
          Length = 325

 Score =  150 bits (379), Expect = 4e-41
 Identities = 106/321 (33%), Positives = 164/321 (51%), Gaps = 7/321 (2%)

Query: 11  LTDQEAVDMYRTMLLARKIDERMWLLNRSGKIP-FVISCQGQEAAQVGAAFALDREMDYV 69
           LT  + +  Y+ M   R  +ER+ +   +G+IP FV    G+EA+  G    L R+ D +
Sbjct: 5   LTADQLLHAYQVMRTIRVFEERLHVEFATGEIPGFVHLYAGEEASAAGVMAHL-RDDDCI 63

Query: 70  LPYYRDMGVVLAFGMTAKDLMMSGFAKAADPNSG-GRQMPGHFGQKKNRIVTGSSPVTTQ 128
              +R  G  +A G+    +M   + K      G G  M  H    +  ++  +  V   
Sbjct: 64  ASNHRGHGHCIAKGVDVDGMMAEIYGKKTGVCQGKGGSM--HIADFEKGMLGANGIVGAG 121

Query: 129 VPHAVGIALAGRMEKKDIAAFVTFGEGSSNQGDFHEGANFAAVHKLPVIFMCENNKYAIS 188
            P  VG ALA +++  D  A V FG+G SN+G   E  N A+V  LP +F+ ENN YA +
Sbjct: 122 APLVVGAALAAKLKGTDSVAVVFFGDGGSNEGAVFEAMNMASVWNLPCLFIAENNGYAEA 181

Query: 189 VPYDKQVACENISDRAIGYGMPGVTVNGNDPLEVYQAVKEARERARRGEGPTLIETISYR 248
              +  VAC++I+DRA G+GMPGVTV+G D   V++A   A ERAR GEGP+LIE    R
Sbjct: 182 TASNWSVACDHIADRAAGFGMPGVTVDGFDFFAVHEAAGAAVERARAGEGPSLIEVKLTR 241

Query: 249 LTPHSSDDDDSSYRGREEVEEAKK-SDPLLTYQAYLKETGLLSDEIEQTMLDEIMAIVNE 307
              H  + D  +YR  +EV+  ++ +D L+ ++  +   G         +  E+  ++  
Sbjct: 242 YYGH-FEGDAQTYRAPDEVKHFREHNDCLMQFRERIIRAGRAQASQLDQIDSEVELLIEN 300

Query: 308 ATDEAENAPYAAPESALDYVY 328
           A  +A++AP  +    L  VY
Sbjct: 301 AVLKAKSAPKPSAADLLSDVY 321


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: 238
Number of extensions: 9
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: 330
Length of database: 325
Length adjustment: 28
Effective length of query: 302
Effective length of database: 297
Effective search space:    89694
Effective search space used:    89694
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: 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