GapMind for catabolism of small carbon sources

 

Aligments for a candidate for tdh in Desulfovibrio vulgaris Miyazaki F

Align L-threonine dehydrogenase (EC 1.1.1.103) (characterized)
to candidate 8500233 DvMF_0990 iron-containing alcohol dehydrogenase (RefSeq)

Query= ecocyc::EG12293-MONOMER
         (383 letters)



>lcl|FitnessBrowser__Miya:8500233 DvMF_0990 iron-containing alcohol
           dehydrogenase (RefSeq)
          Length = 386

 Score =  260 bits (665), Expect = 4e-74
 Identities = 144/354 (40%), Positives = 202/354 (57%), Gaps = 1/354 (0%)

Query: 30  GFTRTLIVTDNMLTKLGMAGDVQKALEERNIFSVIYDGTQPNPTTENVAAGLKLLKENNC 89
           G +R L+V+D  +   G    V + L +  I    + G   NP    V  G ++ +   C
Sbjct: 32  GASRCLVVSDQGVAAAGHTDAVARTLRDEGIACATFLGVSENPRDTEVMQGSEVFRAEGC 91

Query: 90  DSVISLGGGSPHDCAKGIALVAANGGDIRDYEGVDRSAKPQLPMIAINTTAGTASEMTRF 149
           D+++++GGGSP DCAKGI +V ANGG I DYEGVD   KP  P++ + TTAG+++++++F
Sbjct: 92  DAIVAVGGGSPMDCAKGIGIVVANGGHILDYEGVDAIPKPMPPLVCVPTTAGSSADVSQF 151

Query: 150 CIITDEARHIKMAIVDKHVTPLLSVNDSSLMIGMPKSLTAATGMDALTHAIEAYVSIAAT 209
            II D  R +K+AIV K   P +++ D    +  P+ LTAATG+DALTHA+EAY S A +
Sbjct: 152 AIIRDTPRRVKIAIVSKANVPDVALVDPLTTLTKPRELTAATGLDALTHAVEAYASNAHS 211

Query: 210 PITDACALKAVTMIAENLPLAVEDGSNAKAREAMAYAQFLAGMAFNNASLGYVHAMAHQL 269
           P+TD  AL+AV  I   L   ++D  N  AR  MA     AG+AF+NA LG VHA++H L
Sbjct: 212 PVTDMFALEAVRGIGSALFDVLDDLGNRDARARMALGSMNAGLAFSNAILGAVHALSHSL 271

Query: 270 GGFYNLPHGVCNAVLLPHVQVFNSKVAAARLRDCAAAMGV-NVTGKNDAEGAEACINAIR 328
           GG  +LPHG CNA+LLP V   N   A  R R  A A+GV +     D E  +A    + 
Sbjct: 272 GGLLDLPHGECNALLLPFVVRRNYVAAPQRYRRVAEALGVADALAAPDDEVRDALFARLG 331

Query: 329 ELAKKVDIPAGLRDLNVKEEDFAVLATNALKDACGFTNPIQATHEEIVAIYRAA 382
            + ++     GL    V  +  A LA  AL+D C  TNP+     E+  +Y  A
Sbjct: 332 AMRRRAGFDKGLAQYGVTRDQLAELARLALEDPCLSTNPVPLDARELEQLYAEA 385


Lambda     K      H
   0.318    0.131    0.373 

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: 408
Number of extensions: 18
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: 383
Length of database: 386
Length adjustment: 30
Effective length of query: 353
Effective length of database: 356
Effective search space:   125668
Effective search space used:   125668
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 (21.8 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 preprint 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