GapMind for catabolism of small carbon sources

 

Aligments for a candidate for ytfQ in Herbaspirillum seropedicae SmR1

Align Galactofuranose-binding protein YtfQ (characterized)
to candidate HSERO_RS05170 HSERO_RS05170 LacI family transcription regulator

Query= SwissProt::P39325
         (318 letters)



>lcl|FitnessBrowser__HerbieS:HSERO_RS05170 HSERO_RS05170 LacI family
           transcription regulator
          Length = 324

 Score =  315 bits (806), Expect = 1e-90
 Identities = 170/314 (54%), Positives = 222/314 (70%), Gaps = 8/314 (2%)

Query: 6   LIVSAVSAAMSSMALAA--PLTVGFSQVGSESGWRAAETNVAKSEAEKRGITLKIADGQQ 63
           + +S  S+AMS  A AA  PLT+GFSQVG+ES WR A T   K  A++ G+ LK AD QQ
Sbjct: 13  ICLSLGSSAMSLPAFAADKPLTMGFSQVGAESEWRTANTVSIKDAAKQAGVNLKFADAQQ 72

Query: 64  KQENQIKAVRSFVAQGVDAIFIAPVVATGWEPVLKEAKDAEIPVFLLDRSIDVKDKSLYM 123
           KQENQ+KA+RSF+AQ VD I  +PVV +GWE VL+EAK A+IPV L DR+++V DKSLY+
Sbjct: 73  KQENQVKAIRSFIAQKVDVIAFSPVVESGWETVLREAKAAKIPVILTDRAVNVSDKSLYV 132

Query: 124 TTVTADNILEGKLIGDWLVKEVNGKPC---NVVELQGTVGASVAIDRKKGFAEAIKNAPN 180
           T + +D + EG+  G WL+++    P    N+VELQGTVG++ AIDRK GF E IK  P 
Sbjct: 133 TFIGSDFVEEGRRAGRWLLEKAKSMPAGDINIVELQGTVGSAPAIDRKAGFEEVIKGEPR 192

Query: 181 IKIIRSQSGDFTRSKGKEVMESFIKAENNGKNICMVYAHNDDMVIGAIQAIKEAGLKPGK 240
           +KIIRSQ+GDFTR+KGKEVME+F+KAE  GK I ++YAHNDDM IGAIQAI+EAG+KPGK
Sbjct: 193 LKIIRSQTGDFTRAKGKEVMEAFLKAE--GKKINVLYAHNDDMAIGAIQAIEEAGMKPGK 250

Query: 241 DILTGSIDGVPDIYKAMMDGEANASVELTPNMAGPAFDALEKYKKDGTMPEKLTLTKSTL 300
           DI+  SIDGV   ++AMM G+ N +VE +P + GP    + K  K G    K   T+  +
Sbjct: 251 DIIIISIDGVKGAFEAMMAGKLNVTVECSP-LLGPQLMQIAKDIKAGKEVPKRITTEEGI 309

Query: 301 YLPDTAKEELEKKK 314
           +  + A +E   +K
Sbjct: 310 FPAEVAAKEFPNRK 323


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: 314
Number of extensions: 12
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: 324
Length adjustment: 28
Effective length of query: 290
Effective length of database: 296
Effective search space:    85840
Effective search space used:    85840
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.

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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