Alignments for a candidate for dddA in Sinorhizobium medicae WSM419

GapMind for catabolism of small carbon sources

Alignments for a candidate for dddA in Sinorhizobium medicae WSM419

Align 3-hydroxypropionate dehydrogenase (EC 1.1.1.59) (characterized)
to candidate WP_011969248.1 SMED_RS18130 GMC family oxidoreductase N-terminal domain-containing protein

Query= metacyc::MONOMER-15202
         (579 letters)



>NCBI__GCF_000017145.1:WP_011969248.1
          Length = 534

 Score =  622 bits (1603), Expect = 0.0
 Identities = 312/542 (57%), Positives = 392/542 (72%), Gaps = 17/542 (3%)

Query: 36  FDYIVVGAGTAGCLLANRLSADPANRVLLIEAGGRDNYHWIHIPVGYLYCINNPRTDWRF 95
           +D+IVVGAG+AGC+LANRLSADP NRVLL+EAGG D YHW+H+P+GYLYC+ NPRTDW  
Sbjct: 9   YDFIVVGAGSAGCVLANRLSADPRNRVLLLEAGGSDRYHWVHVPIGYLYCMGNPRTDWMM 68

Query: 96  RTEPDPGLNGRSLIYPRGKTLGGCSSINGMLYLRGQARDYDGWAELTGDDAWRWDNCLPD 155
           RT  +PGLNGRSL YPRGK LGGCSSINGM+Y+RGQA DYDGW +  G+  W WD+ LP 
Sbjct: 69  RTAAEPGLNGRSLPYPRGKLLGGCSSINGMIYMRGQAADYDGWRQ-AGNAGWGWDDVLPY 127

Query: 156 FMRHEDHYRLDEGGDADPDHYKFHGHGGEWRIEKQRLKWQVLADFATAAVEAGVPRTRDF 215
           F++ ED++R   G  A       HG GGEWR+E+QRL W +L  F  AA E G+P+T DF
Sbjct: 128 FLKSEDNHR---GTSA------MHGAGGEWRVERQRLSWPILDAFRDAAEELGIPKTEDF 178

Query: 216 NRGDNEGVDAFEVNQRSGWRWNASKAFLRGVEQRGNLTVWHSTQVLKLDFASGEGSEPRC 275
           N GDNEG   FEVNQR G RWN +KAFLR   +R NL V    +  +L F   EG   + 
Sbjct: 179 NIGDNEGSGYFEVNQRGGVRWNTTKAFLRPAMKRPNLKVLTGAETERLIF---EGRRTK- 234

Query: 276 CGVTVERAGKKVVTTARCEVVLSAGAIGSPQLLQLSGIGPTALLAEHAIPVVADLPGVGE 335
            G+     G+     A  EV+LSAGAI +P++L+LSG+G   +++   I +V DLPGVGE
Sbjct: 235 -GIRFRLHGRIREARATREVILSAGAINTPKILELSGVGRPDVVSAAGIELVHDLPGVGE 293

Query: 336 NLQDHLQIRSIYKVKGAKTLNTMANSLIGKAKIGLEYILKRSGPMSMAPSQLCIFTRSSK 395
           NLQDHLQIR++++++GAKTLN + +S+  +  +GLEY+L+RSGP+SMAPSQL IF RSS 
Sbjct: 294 NLQDHLQIRTVFRIEGAKTLNQLYHSVFSRMGMGLEYMLRRSGPLSMAPSQLGIFARSSP 353

Query: 396 EYEHPNLEYHVQPLSLEAFGQPLHDFPAITASVCNLNPTSRGTVRIKSGNPRQAPAISPN 455
                +LEYHVQPLS +  G+PLH  PA+T SVCNL P SRG+V + +G+   AP I PN
Sbjct: 354 SVATADLEYHVQPLSTDRLGEPLHKHPAVTVSVCNLRPESRGSVHVTTGDASAAPDIRPN 413

Query: 456 YLSTEEDRQVAADSLRVTRHIASQPAFAKYDPEEFKPGVQYQSDEDLARLAGDIGTTIFH 515
           YLST  DR +AA ++R  R + +  A A++ P E  PG ++QS+++L R AGDI TTIFH
Sbjct: 414 YLSTAGDRLLAAQAIRHARSLMATKAIARFKPAEMLPGAEFQSEDELIRRAGDIATTIFH 473

Query: 516 PVGTAKMGRDDDPMAVVDSHLRVRGVTGLRVVDASIMPTITSGNTNSPTLMIAEKAAGWI 575
           PVGT KMG   DPMAVVD  L+V G+ GLRVVDASIMP+I SGNTNSP +MIAEKAA  I
Sbjct: 474 PVGTCKMG--SDPMAVVDPSLKVHGLDGLRVVDASIMPSIVSGNTNSPVIMIAEKAADAI 531

Query: 576 LK 577
           L+
Sbjct: 532 LR 533


Lambda     K      H
   0.318    0.135    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: 940
Number of extensions: 48
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: 579
Length of database: 534
Length adjustment: 36
Effective length of query: 543
Effective length of database: 498
Effective search space:   270414
Effective search space used:   270414
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 (21.7 bits)
S2: 53 (25.0 bits)

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

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Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
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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:

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