GapMind for catabolism of small carbon sources

 

Aligments for a candidate for musK in Phaeobacter inhibens BS107

Align ABC-type maltose transporter (EC 7.5.2.1) (characterized)
to candidate GFF262 PGA1_c02740 sn-glycerol-3-phosphate import ATP-binding protein UgbC

Query= BRENDA::Q8NMV1
         (376 letters)



>lcl|FitnessBrowser__Phaeo:GFF262 PGA1_c02740
           sn-glycerol-3-phosphate import ATP-binding protein UgbC
          Length = 348

 Score =  326 bits (836), Expect = 5e-94
 Identities = 173/334 (51%), Positives = 226/334 (67%), Gaps = 12/334 (3%)

Query: 1   MATVTFKDASLSYPGAKEPTVKKFNLEIADGEFLVLVGPSGCGKSTTLRMLAGLENVTDG 60
           MA VT       YP   E  V   + +I DGEF+VLVGPSGCGKST LRM+AGLE++T+G
Sbjct: 1   MAQVTLNSVRKVYPNGVE-AVTSSSFKIEDGEFVVLVGPSGCGKSTLLRMIAGLEDITEG 59

Query: 61  AIFIGDKDVTHVAPRDRDIAMVFQNYALYPHMTVGENMGFALKIAGKSQDEINKRVDEAA 120
            + IGD+ V +V P DRDIAMVFQNYALYPHMTV +N+ + LK     + EI ++V EAA
Sbjct: 60  TLEIGDRVVNNVDPADRDIAMVFQNYALYPHMTVRKNIAYGLKNRKTPEAEIKQKVAEAA 119

Query: 121 ATLGLTEFLERKPKALSGGQRQRVAMGRAIVRNPQVFLMDEPLSNLDAKLRVQTRTQIAA 180
             L L E+L+RKP  LSGGQRQRVAMGRAIVR+P +FL DEPLSNLDAKLR Q R +I A
Sbjct: 120 KMLNLEEYLDRKPSQLSGGQRQRVAMGRAIVRDPALFLFDEPLSNLDAKLRNQMRIEIKA 179

Query: 181 LQRKLGVTTVYVTHDQTEALTMGDRIAVLKDGYLQQVGAPRELYDRPANVFVAGFIGSPA 240
           LQR+LGVT++YVTHDQ EA+TM DRI VL  G ++Q+G P E+Y  PA+VFVA F+G+P 
Sbjct: 180 LQRRLGVTSIYVTHDQVEAMTMADRIIVLNGGRIEQIGTPSEIYHNPASVFVASFMGAPP 239

Query: 241 MNLGTFSVKDGDATSGHARIKLSPETLAAMTPEDNGRITIGFRPEALEIIPEGESTDLSI 300
           MNL   ++ +G  T           ++ A+     G + +G RPE ++++ EG      +
Sbjct: 240 MNLLDATIANGQVTLPDG------VSMGALDTSAQGAVKLGIRPEDVQLVAEG-----GL 288

Query: 301 PIKLDFVEELGSDSFLYGKLVGEGDLGSSSEDVP 334
            I ++ +EELG+   L+GKL G+       +D+P
Sbjct: 289 AIDVELIEELGAHRLLHGKLGGQPFTIHVLKDIP 322


Lambda     K      H
   0.316    0.135    0.380 

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: 381
Number of extensions: 13
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: 376
Length of database: 348
Length adjustment: 29
Effective length of query: 347
Effective length of database: 319
Effective search space:   110693
Effective search space used:   110693
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: 49 (23.5 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