Alignments for a candidate for deoB in Desulfitobacterium hafniense DCB-2

GapMind for catabolism of small carbon sources

Alignments for a candidate for deoB in Desulfitobacterium hafniense DCB-2

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_015944244.1 DHAF_RS14085 phospho-sugar mutase

Query= SwissProt::Q7TSV4
         (620 letters)



>NCBI__GCF_000021925.1:WP_015944244.1
          Length = 575

 Score =  274 bits (700), Expect = 9e-78
 Identities = 205/600 (34%), Positives = 299/600 (49%), Gaps = 67/600 (11%)

Query: 33  WDQNPLTSESVKQLIAGGNKE-ELRKCFGARMEFGTAGLRAPMGAGISRMNDLTIIQTTQ 91
           W  +P   E  +  +A  N E E+   F   +EFGT GLR  +GAG +RMN   I + TQ
Sbjct: 9   WLTSPYFDEDTRSEVAAINDEKEIEDRFYTDLEFGTGGLRGVLGAGTNRMNIYVIRKATQ 68

Query: 92  GFCRYLEKQFSDLKQRGVVISFDARAHPASGGSSRRFARLAATAFITQGVPVYLFSDITP 151
           G    + +     K RGVVI++D+R        S RFA+ AA      G+  YLF D+ P
Sbjct: 69  GLADLILEGGEAGKNRGVVIAYDSRRF------SDRFAKEAALVLAGNGIKAYLFDDLRP 122

Query: 152 TPFVPYTVSHLKLCAGIMITASHNPKQDNGYKVYWDNGAQIISPHDRGISQAIEENLEPW 211
           TP + + V HLK  AG++ITASHNPK+ NGYKVYW++G Q+  P DRG    I  +++  
Sbjct: 123 TPELSFAVRHLKAQAGLVITASHNPKEYNGYKVYWEDGGQV--PPDRG--DRILAHIKA- 177

Query: 212 PQAW------EESLVDSSPLLHNPSASIGNDYFEDLKKYCFHRTVN--KESKVKFVHTSV 263
            QAW      EE+      LL      I   Y   +K+   +  ++  K S +  V+T +
Sbjct: 178 HQAWDDILPLEEAEARDKGLLVEIGEEIDAVYLSKVKELALYPELSQAKGSNLSIVYTPL 237

Query: 264 HGVGHEFV-----QLAFKAFDLAPPEAVPQQKDPDPEFPTVKYPNPEEGKGVLTLSFALA 318
           HG G+  V     ++ +  F       VP+Q+ PDPEF TV YPNPE       L+ +  
Sbjct: 238 HGAGNVLVNRILTEMGYSVF------TVPEQEKPDPEFTTVPYPNPEI-PSTFDLARSYG 290

Query: 319 DKIKAKIVLANDPDADRLAVAEKQDSGEWRVFSGNELGALLGWWLFTSWKEKNQDQSNLK 378
               A++++A DPDADRL +A +   G++R  +GN++G LL ++L T  K        L 
Sbjct: 291 KARNAQMLIATDPDADRLGMALRTPQGDYRQLTGNQVGTLLSYYLLTQKKR----LGILP 346

Query: 379 DTYMLSSTVSSKILRAIALKE-GFHFEETLTGFKWMGNRAQQLGDQGK-TVLFAFEEAIG 436
           +  ++  T++S  L  + +K+ G   E  LTGFK++  + Q++  QG     F FEE+ G
Sbjct: 347 EQAVVIKTIASTDLADLLVKDLGARVENVLTGFKFIAEKEQEMEVQGSGDFQFGFEESYG 406

Query: 437 YMCCPFVLDKDGVSAAVICAELASFLATK-NLSLSQQLNAIYVEYGYHITTASYFICHDQ 495
           Y+   FV DKD V A+++ AE A +   K   SL + L  IY +YGY I         DQ
Sbjct: 407 YLAGHFVRDKDAVIASLLLAEAALYYQEKEGRSLLEVLEDIYGKYGYFI--------DDQ 458

Query: 496 GTIQNLFGNLRNYDGKNNYPKMCGKFEISAIRDL----TTGYDDSQ--PDKKAVLP---- 545
            +I      L    GK    KM  K   + ++          DD +    ++ + P    
Sbjct: 459 ISI-----TLEGKAGKEQMEKMMVKLRETDVKSFGGIAVACIDDYELRKGRRMIAPFHSY 513

Query: 546 --TSKSSQMITFTFANGGVATMRTSGTEPKIKYYAELCAPPGNSDP---EHLKKELDELV 600
                 S +I ++F  GG    R SGTEPKIK+Y  +        P   E +KK+L EL+
Sbjct: 514 ELALPQSNVIRYSFQGGGFVMARPSGTEPKIKFYFNIRGVNPQELPTTLEAVKKDLLELI 573


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: 879
Number of extensions: 32
Number of successful extensions: 8
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 1
Length of query: 620
Length of database: 575
Length adjustment: 37
Effective length of query: 583
Effective length of database: 538
Effective search space:   313654
Effective search space used:   313654
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