GapMind for catabolism of small carbon sources

 

Alignments for a candidate for iolM in Cupriavidus basilensis 4G11

Align scyllo-inosose 3-dehydrogenase; 2-keto-myo-inositol dehydrogenase; EC 1.1.1.- (characterized)
to candidate RR42_RS09405 RR42_RS09405 butanediol dehydrogenase

Query= SwissProt::Q9WYP3
         (395 letters)



>FitnessBrowser__Cup4G11:RR42_RS09405
          Length = 357

 Score =  145 bits (367), Expect = 1e-39
 Identities = 121/354 (34%), Positives = 170/354 (48%), Gaps = 42/354 (11%)

Query: 34  VWR-YPEVRVEEVPEPRIEKPTEIIIKVKA--CGICGSDVHMAQTDEEGYILYPGLTGFP 90
           VWR   +VRVEEV  P  +KP E  +K++   CGICGSD+H       G +  P     P
Sbjct: 5   VWRGRHDVRVEEVRVP--DKPAEGWVKIRVHWCGICGSDLHEYVA---GPVFIPVDHPHP 59

Query: 91  VT-------LGHEFSGVVVEAGPEAINRRTNKRFEIGEPVCAEEMLWCGHCRPCAEGFPN 143
           +T       LGHEFSG + E G           F++GE V A+    CG C  C  G  N
Sbjct: 60  LTGLKGQCILGHEFSGEIAELGAGVTG------FKVGERVTADACQHCGKCYYCTHGLYN 113

Query: 144 HCENLNELGFNVDGAFAEYVKVDAKYAWSLRELEGVYEGDRLFLAGSLVEPTSVAYNAVI 203
            CE+L   G   +GAFAEYV V A+  + L E            AG+L+EP +V  +AV 
Sbjct: 114 ICESLAFTGLMNNGAFAEYVNVPAELLYKLPENFPTE-------AGALIEPLAVGLHAVK 166

Query: 204 VRGGGIRPGDNVVILGGGPIGLAAVAILKHAGASKVILSEPSEVRRNLAKELGADHVIDP 263
             G  +  G  VV++G G IGL  +   K AGA ++I  E S  R+  A E+GA+ VIDP
Sbjct: 167 KAGNIV--GQTVVVVGAGTIGLCTIMCAKAAGAGRIIALEMSSARKKKALEVGANVVIDP 224

Query: 264 TKENFVEAVLDYTNGLGAKLFLEATGVPQLVWPQIEEVIWRARGINATVAIVARADAKIP 323
            + + +  V   T G GA +  E  G        I+ +  R  G    V I        P
Sbjct: 225 KECDAIAQVKALTGGYGADVSFECIGNKATAKLAIDVI--RKAGKCVMVGIFEE-----P 277

Query: 324 LTGEVFQV--RRAQIVGSQGHSGHGTFPRVISLMASG-MDMTKIISKTVSMEEI 374
                F++     +I+GS  ++G   F  VI  +A G +D+  +I+  +S+ +I
Sbjct: 278 SAFNFFEIVSTEKEIIGSLAYNGE--FADVIRFIADGRIDVQPLITGRISLADI 329


Lambda     K      H
   0.319    0.138    0.418 

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: 389
Number of extensions: 20
Number of successful extensions: 5
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: 395
Length of database: 357
Length adjustment: 30
Effective length of query: 365
Effective length of database: 327
Effective search space:   119355
Effective search space used:   119355
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 50 (23.9 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