GapMind for catabolism of small carbon sources

 

Aligments for a candidate for aruH in Azospirillum brasilense Sp245

Align arginine-pyruvate transaminase (EC 2.6.1.84) (characterized)
to candidate AZOBR_RS07830 AZOBR_RS07830 aminotransferase

Query= BRENDA::Q9HUI9
         (393 letters)



>FitnessBrowser__azobra:AZOBR_RS07830
          Length = 424

 Score =  175 bits (444), Expect = 2e-48
 Identities = 121/364 (33%), Positives = 179/364 (49%), Gaps = 13/364 (3%)

Query: 31  GEEILLLSVGDPDFDTPAPIVQAAIDSLLAGNTH-YADVRGKRALRQRIAERHRRRSGQA 89
           GE+I+ L +G+PD  TP  IV   I+++    TH Y++ RG   LR+  A  ++RR    
Sbjct: 31  GEDIIDLGMGNPDQPTPQHIVDKLIEAVRDPKTHRYSNSRGIPGLRKAHAAYYKRRFNVD 90

Query: 90  VDAE-QVVVLAGAQCALYAVVQCLLNPGDEVIVAEPMYVTYEAVFGACGARVVPVPVRSE 148
           VD E + +V  G++  L  + Q + +PGD ++V  P Y  +   F   GA V  +PV   
Sbjct: 91  VDPESECIVTIGSKEGLANLAQAITSPGDIILVPNPSYPIHPFGFILAGASVRHLPVGQA 150

Query: 149 NG-------FRVQAEEVAALITPRTRAMALNSPHNPSGASLPRATWEALAELCMAHDLWM 201
           NG       F +  E       P+  A+ LN P NP+   +    +  + E C  H +++
Sbjct: 151 NGTSTDIDSFMIMLERAVRHSVPKPLALVLNYPSNPTAEVVGLDFYRPIVEFCRKHGIYI 210

Query: 202 ISDEVYSELLFDGEHV-SPASLPGMADRTATLNSLSKSHAMTGWRVGWVVGPAALCAHLE 260
           +SD  Y+E+ FDGE   S   +P   +      S+SK+++M GWR+G+  G   L   L 
Sbjct: 211 LSDLAYAEVFFDGEPPPSILEIPEAREVAVEFTSMSKTYSMAGWRIGFATGNKKLITALA 270

Query: 261 NLALCMLYGSPEFIQDAACTALEAPLPELEAMREAYRRRRDLVIECLADSPGLRPLRPDG 320
            +   + YG+   IQ AA  AL  P   +E +R  YR+RRD++IE LA S G     P  
Sbjct: 271 RIKSYLDYGAFTPIQVAATAALNGPQECVEQVRTMYRQRRDVMIEGLA-SAGWTVPSPSA 329

Query: 321 GMFVMVDIRP--TGLSAQAFADRLLDRHGVSVLAGEAFGPSAAGHIRLGLVLGAEPLREA 378
            MF    I      L +  F+  LL    V+V  G  FG    GH+RL LV     +R+A
Sbjct: 330 SMFAWAPIPEPFAHLGSLEFSKLLLQEAKVAVAPGIGFGEYGDGHVRLALVENVHRIRQA 389

Query: 379 CRRI 382
            R I
Sbjct: 390 TRNI 393


Lambda     K      H
   0.322    0.136    0.411 

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: 391
Number of extensions: 19
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: 393
Length of database: 424
Length adjustment: 31
Effective length of query: 362
Effective length of database: 393
Effective search space:   142266
Effective search space used:   142266
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 (21.9 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 paper from 2022 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