GapMind for catabolism of small carbon sources

 

Aligments for a candidate for ytfQ in Paraburkholderia bryophila 376MFSha3.1

Align Galactofuranose-binding protein YtfQ (characterized)
to candidate H281DRAFT_05269 H281DRAFT_05269 monosaccharide ABC transporter substrate-binding protein, CUT2 family

Query= SwissProt::P39325
         (318 letters)



>FitnessBrowser__Burk376:H281DRAFT_05269
          Length = 328

 Score =  273 bits (698), Expect = 4e-78
 Identities = 151/322 (46%), Positives = 205/322 (63%), Gaps = 15/322 (4%)

Query: 4   RLLIVSAVSAAMSSMALAAP--------LTVGFSQVGSESGWRAAETNVAKSEAEKRGIT 55
           R L   A+ A   ++ LA P        +T+GF+QVG+ES WR A T   KS A    I 
Sbjct: 10  RALGALALCAGFGTLTLATPGAYAQDKQITLGFAQVGAESAWRTANTESVKSAAADAKIK 69

Query: 56  LKIADGQQKQENQIKAVRSFVAQGVDAIFIAPVVATGWEPVLKEAKDAEIPVFLLDRSID 115
           LK +D QQKQENQIKA+RS++AQ VD I  +PVV +GWEPVL+EAK A+IPV L DR++D
Sbjct: 70  LKFSDAQQKQENQIKAIRSYIAQKVDVIAFSPVVESGWEPVLREAKAAKIPVILTDRNVD 129

Query: 116 VKDKSLYMTTVTADNILEGKLIGDWLV---KEVNGKPCNVVELQGTVGASVAIDRKKGFA 172
           VKD SLY+T + +D + EG+  G WL    K+  G P N+ ELQGTVG++ A DR  G  
Sbjct: 130 VKDTSLYVTMIGSDFLEEGRRGGKWLADHYKDAQG-PVNIAELQGTVGSAPANDRHAGLI 188

Query: 173 EAIKNAPNIKIIRSQSGDFTRSKGKEVMESFIKAENNGKNICMVYAHNDDMVIGAIQAIK 232
           E IK+ P  K+I SQSGDFT + GK+VME+FIK   N  N+  VYAHNDDM +GAIQA++
Sbjct: 189 EVIKSDPKFKVIASQSGDFTLAGGKQVMEAFIKTYGNKINV--VYAHNDDMALGAIQAME 246

Query: 233 EAGLKPGKDILTGSIDGVPDIYKAMMDGEANASVELTPNMAGPAFDALEKYKKDGTMPEK 292
           EAG+ PGKD++  S D     ++AM  G+ N  VE +P +      A++       +P++
Sbjct: 247 EAGMHPGKDVIVVSFDATKGGFQAMAAGKMNVDVECSPLLGPQLMSAVKDVVAGKPLPKR 306

Query: 293 LTLTKSTLYLPDTAKEELEKKK 314
           + LT+ T++    A + L  +K
Sbjct: 307 I-LTEETVFPMSVAAQTLPTRK 327


Lambda     K      H
   0.313    0.130    0.363 

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: 268
Number of extensions: 9
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: 318
Length of database: 328
Length adjustment: 28
Effective length of query: 290
Effective length of database: 300
Effective search space:    87000
Effective search space used:    87000
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: 48 (23.1 bits)

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

Links

Downloads

Related tools

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