Alignments for a candidate for paaZ2 in Methylobacterium nodulans ORS 2060

GapMind for catabolism of small carbon sources

Alignments for a candidate for paaZ2 in Methylobacterium nodulans ORS 2060

Align oxepin-CoA hydrolase (EC 3.3.2.12) (characterized)
to candidate WP_015929943.1 MNOD_RS15885 phenylacetic acid degradation bifunctional protein PaaZ

Query= BRENDA::P77455
         (681 letters)



>NCBI__GCF_000022085.1:WP_015929943.1
          Length = 685

 Score =  657 bits (1696), Expect = 0.0
 Identities = 354/660 (53%), Positives = 444/660 (67%), Gaps = 13/660 (1%)

Query: 22  IHHAISGEALWEVTSEGLDMAAARQFAIEKGAPALRAMTFIERAAMLKAVAKHLLSEKER 81
           I  AI G  +   ++ GLDMAA    A   G PALRA+TF ERA  L+A+A HL + K+ 
Sbjct: 23  IPSAIDGRIVARSSTRGLDMAAMVHHARTVGGPALRALTFHERADRLRALATHLTAHKDA 82

Query: 82  FYALSAQTGATRADSWVDIEGGIGTLFTYASLGSRELPDDTLWPEDELIPLSKEGGFAAR 141
              L+A TGAT+ D+  DI+GGIGTLF YAS G RELP      +    PLS+ G F   
Sbjct: 83  LAELAADTGATKRDNAFDIDGGIGTLFAYASRGRRELPAQRFVVDGGPEPLSRGGSFLGM 142

Query: 142 HLLTSKSGVAVHINAFNFPCWGMLEKLAPTWLGGMPAIIKPATATAQLTQAMVKSIVDSG 201
           H++T   GVAVH+NAFNFPCWGMLEKLAP+ L G+P I KPATATA + +A+V+ IV++ 
Sbjct: 143 HVMTPLRGVAVHVNAFNFPCWGMLEKLAPSILAGVPVITKPATATAYVAEAVVRLIVEAD 202

Query: 202 LVPEGAISLICGSAGDLLDHLDSQDVVTFTGSAATGQMLRVQPNIVAKSIPFTMEADSLN 261
           ++P+GA+ L+CGSAGDLLDHL  QDV++FTGSAAT Q+LR  P +  +++ F  E DSLN
Sbjct: 203 VLPKGALQLLCGSAGDLLDHLAGQDVLSFTGSAATSQVLRDHPAVSRQAVRFIAERDSLN 262

Query: 262 CCVLGEDVTPDQPEFALFIREVVREMTTKAGQKCTAIRRIIVPQALVNAVSDALVARLQK 321
             VLG D     PEF LF++EVVREMT KAGQKCTAIRR+IVP+AL  AV  AL A+L  
Sbjct: 263 AAVLGPDAAEGTPEFNLFVKEVVREMTVKAGQKCTAIRRVIVPRALEPAVIGALKAQLAA 322

Query: 322 VVVGDPAQEGVKMGALVNAEQRADVQEKVNILLAAGCEIRLGGQADLSA------AGAFF 375
           V VGDP +E V+MG L +  QRA  +E V   +A   EI  G    ++A      AGAF 
Sbjct: 323 VPVGDPRREDVRMGPLASLSQRAATREAV-AEIAREAEIVFGDPETVTAIGADPEAGAFM 381

Query: 376 PPTLLYCPQPDETPAVHATEAFGPVATLMPAQNQRHALQLACAGGGSLAGTLVTADPQIA 435
            P LL CP P    A HA EAFGPVAT+M   +   A+ L   G GSL  ++VTADP++A
Sbjct: 382 APVLLRCPDPLRAVAPHAVEAFGPVATVMAYDDLDDAVALVAKGEGSLVASVVTADPEVA 441

Query: 436 RQFIADAARTHGRIQILNEESAKESTGHGSPLPQLVHGGPGRAGGGEELGGLRAVKHYMQ 495
              +   A  HGR+ +L+ + AKESTGHGSPLP LVHGGPGRAGGGEELGGLR V HY+Q
Sbjct: 442 ESLVFGIAAHHGRVHVLDRDCAKESTGHGSPLPGLVHGGPGRAGGGEELGGLRGVFHYLQ 501

Query: 496 RTAVQGSPTMLAAISKQWVRGAKVEEDRIHPFRKYFEELQPGDSLLTPRRTMTEADIVNF 555
           RTAVQGSP  L+A+++ W+ GA       HPFR+ ++ L  GD++ TP R +T  DI +F
Sbjct: 502 RTAVQGSPARLSALTRTWLSGAPAPVTAEHPFRRDYDALAVGDTVETPSRVITLDDIEHF 561

Query: 556 ACLSGDHFYAHMDKIAA-AESIFGERVVHGYFVLSAAAGLFVDAGVGPVIANYGLESLRF 614
           A  +GD FYAHM++ AA A   F  RV HGY +LS AAGLFVD   GP++ANYGL++LRF
Sbjct: 562 ASFTGDTFYAHMNEEAAKANPFFPGRVAHGYLILSFAAGLFVDPAPGPLLANYGLDNLRF 621

Query: 615 IEPVKPGDTIQVRLTCKRKTLKKQRSAEEKPTGVVEWAVEVFNQHQTPVALYSILTLVAR 674
           ++PV PGD I+VRLT K+K     + A +   G V W VEVFNQ    VA Y +LT+ AR
Sbjct: 622 LKPVSPGDAIRVRLTVKQK-----QPARKPEYGEVRWDVEVFNQDGETVARYELLTMSAR 676


Lambda     K      H
   0.319    0.134    0.395 

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: 1184
Number of extensions: 61
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: 681
Length of database: 685
Length adjustment: 39
Effective length of query: 642
Effective length of database: 646
Effective search space:   414732
Effective search space used:   414732
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 (21.8 bits)
S2: 54 (25.4 bits)

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

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Protein sequences (fasta format)
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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 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