Alignments for a candidate for deoB in Clostridium tyrobutyricum FAM22553

GapMind for catabolism of small carbon sources

Alignments for a candidate for deoB in Clostridium tyrobutyricum FAM22553

Align Phosphoglucomutase-2; PGM 2; Glucose phosphomutase 2; Phosphodeoxyribomutase; Phosphoglucomutase-1; Phosphopentomutase; EC 5.4.2.2; EC 5.4.2.7 (characterized)
to candidate WP_017752866.1 PN53_RS06475 phospho-sugar mutase

Query= SwissProt::Q7TSV4
         (620 letters)



>NCBI__GCF_000816635.1:WP_017752866.1
          Length = 577

 Score =  260 bits (665), Expect = 1e-73
 Identities = 179/582 (30%), Positives = 288/582 (49%), Gaps = 30/582 (5%)

Query: 29  QWLRWDQNPLTSESVKQLIAGGNKEELRKCFGARMEFGTAGLRAPMGAGISRMNDLTIIQ 88
           QWL  +   +  ++ K+L    +++E+   F   +EFGT GLR  M AG +RMN  TI +
Sbjct: 8   QWL--NSEFIDEDTKKELRNIKDEQEIEDRFYKDLEFGTGGLRGVMAAGTNRMNIYTIGK 65

Query: 89  TTQGFCRYLEKQFSDLKQRGVVISFDARAHPASGGSSRRFARLAATAFITQGVPVYLFSD 148
           TTQG   YL  ++ +     V I +D+R        S+ FA  AA      G+ V LF  
Sbjct: 66  TTQGLSDYLLNKYKNA-DISVSIGYDSRI------MSKEFAERAALNLCANGIKVNLFES 118

Query: 149 ITPTPFVPYTVSHLKLCAGIMITASHNPKQDNGYKVYWDNGAQIISPHDRGISQAIEENL 208
           + PTP + Y V + K  AGI+ITASHNPKQ NGYKVY ++G Q+     + I  +I EN+
Sbjct: 119 LRPTPMLSYAVRYFKSKAGIVITASHNPKQYNGYKVYGEDGGQVTDTLAKEILYSI-ENV 177

Query: 209 EPWPQA--WEESLVDSSPLLHNPSASIGNDYFEDLKKYCFHRTV--NKESKVKFVHTSVH 264
           +   +      S  ++  LL+     +   Y E +K     + +  +K  ++  ++T +H
Sbjct: 178 DDISKIKNMSRSGAENKKLLNIVGEEVDRSYLEKVKGLGIRKELVKSKAKELNIIYTPIH 237

Query: 265 GVGHEFVQLAFKAFDLAPPEAVPQQKDPDPEFPTVKYPNPEEGKGVLTLSFALADKIKAK 324
           G G+  V+ A           V +Q+ PD  FPT  YPNPE+ K V  ++  +A KIK  
Sbjct: 238 GSGNVPVRRALSELGYENVFVVKEQEKPDGNFPTAPYPNPEDPK-VFEIALDMAKKIKPD 296

Query: 325 IVLANDPDADRLAVAEKQDSGEWRVFSGNELGALLGWWLFTSWKEKNQDQSNLKDTYMLS 384
           I+   DPD DR+ V  K  +GE+++ +GN+ G LL  ++ +S KE N    N     ++ 
Sbjct: 297 IIFGTDPDCDRIGVIVKNSNGEYKILTGNQTGILLTNYILSSLKEFNSIPEN---GAIVK 353

Query: 385 STVSSKILRAIALKEGFHFEETLTGFKWMGNRAQQLGDQG-KTVLFAFEEAIGYMCCPFV 443
           + V+++    IA   G    + LTGFK++G + ++    G K  +F FEE+ GY+   FV
Sbjct: 354 TIVTTEAASKIAEDYGVEIIDVLTGFKYIGEKIKEFKKSGDKNFIFGFEESYGYLAGDFV 413

Query: 444 LDKDGVSAAVICAELASFLATKNLSLSQQLNAIYVEYGYH---ITTASYFICHDQGTIQN 500
            DKD V A+ +  E++ +  +K +SL   L A+Y +YGY+   + +           I+ 
Sbjct: 414 RDKDAVIASTLICEMSLYYKSKGMSLYDALIALYDKYGYYREKLVSVELKGKEGHEKIEK 473

Query: 501 LFGNLRNYDGKNNYPKMCGKFEISAIRDLTTGYDDSQPDKKAVLPTSKSSQMITFTFANG 560
           +   LR     ++   + G  +I    D     +      K +      S ++ F   + 
Sbjct: 474 IMQYLR-----HSMKNIVGSVKIVKKMDYKLSVEKDLVSIKEIPINLPKSNVLKFILEDK 528

Query: 561 GVATMRTSGTEPKIKYYAELCA---PPGNSDPEHLKKELDEL 599
               +R SGTEPKIK Y  +         +  E+ +K++D +
Sbjct: 529 SCFVVRPSGTEPKIKIYLSVIGNTLDDSKNRIENFQKKIDNI 570


Lambda     K      H
   0.317    0.133    0.403 

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: 800
Number of extensions: 38
Number of successful extensions: 7
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: 620
Length of database: 577
Length adjustment: 37
Effective length of query: 583
Effective length of database: 540
Effective search space:   314820
Effective search space used:   314820
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: 53 (25.0 bits)

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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 2024 update on GapMind for amino acid biosynthesis
the paper from 2022 on GapMind for carbon sources
the source code
instructions for running GapMind on your computer

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

GapMind for catabolism of small carbon sources