Alignments for a candidate for ARO10 in Thauera aminoaromatica S2

GapMind for catabolism of small carbon sources

Alignments for a candidate for ARO10 in Thauera aminoaromatica S2

Align phenylpyruvate decarboxylase (EC 4.1.1.43) (characterized)
to candidate WP_004302898.1 C665_RS06075 indolepyruvate/phenylpyruvate decarboxylase

Query= metacyc::MONOMER-20681
         (545 letters)



>NCBI__GCF_000310185.1:WP_004302898.1
          Length = 542

 Score =  708 bits (1828), Expect = 0.0
 Identities = 368/542 (67%), Positives = 428/542 (78%), Gaps = 3/542 (0%)

Query: 1   MKLAEALLRALKDRGAQAMFGIPGDFALPFFKVAEETQILPLHTLSHEPAVGFAADAAAR 60
           M L E+LL AL D GA+ +FGIPGDFALP+F++ E+T ILPLHTLSHEP VGFAADAAAR
Sbjct: 1   MNLTESLLHALVDHGARQIFGIPGDFALPYFRIIEQTGILPLHTLSHEPGVGFAADAAAR 60

Query: 61  YSSTLGVAAVTYGAGAFNMVNAVAGAYAEKSPVVVISGAPGTTEGNAGLLLHHQGRTLDT 120
               +GVAAVTYGAGA NMVNAVA AYAEKSP+VVISG PG  E  +GLLLHHQ +TLD+
Sbjct: 61  VQGGIGVAAVTYGAGALNMVNAVAAAYAEKSPLVVISGGPGLGESQSGLLLHHQAKTLDS 120

Query: 121 QFQVFKEITVAQARLDDPAKAPAEIARVLGAARALSRPVYLEIPRNMVNAEVEPVGDDPA 180
           Q ++F+EIT  Q RLDD A+APA+IARVLG     S PVY+EIPR+MV     PV  +  
Sbjct: 121 QLRIFQEITCDQVRLDDAARAPADIARVLGNCVRNSLPVYIEIPRDMVARPCAPVVREAP 180

Query: 181 WPVDRDALAACADEVLAAMRSATSPVLMVCVEVRRYGLEAKVAELAQRLGVPVVTTFMGR 240
             VD DALAAC +E+LA +R+A +PVLM  VEVRR+GLE KVAEL++RLG+PVVT+FMGR
Sbjct: 181 RAVDADALAACVEEILARLRAARAPVLMAGVEVRRFGLEDKVAELSRRLGIPVVTSFMGR 240

Query: 241 GLLADAPTPPLGTYIGVAGDAEITRLVEESDGLFLLGAILSDTNFAVSQRKIDLRKTIHA 300
           GLLAD   P +GTY+G+AG  E++ LVE+SDGLFL+G I+SDTNFAVS + IDLR TI A
Sbjct: 241 GLLADQDAPLMGTYMGLAGLPEVSALVEDSDGLFLVGVIISDTNFAVSGKHIDLRHTIQA 300

Query: 301 FDRAVTLGYHTYADIPLAGLVDALLEGLPPSDRTTRGKEPHAYPTGLQADGEPIAPMDIA 360
            +  VT+GYHTYADIPL  L+D LL  +P +D       P A+P GLQAD   IAP DIA
Sbjct: 301 LEARVTMGYHTYADIPLDALIDGLLARVPHADAHFTVDRP-AFPHGLQADEATIAPADIA 359

Query: 361 RAVNDRVRAGQEPLLIAADMGDCLFTAMDMIDAGLMAPGYYAGMGFGVPAGIGAQCVSGG 420
            AVND + A    L IA+DMGDCLFTAMD+    L+APGYYA MGFGVPAG+G Q  + G
Sbjct: 360 CAVND-LMAAHGKLPIASDMGDCLFTAMDIEHTALVAPGYYATMGFGVPAGLGVQAAT-G 417

Query: 421 KRILTVVGDGAFQMTGWELGNCRRLGIDPIVILFNNASWEMLRTFQPESAFNDLDDWRFA 480
           +R L +VGDGAFQMTGWELGNCRR G DPIV+LFNNASWEMLRTFQPES FNDLDDW FA
Sbjct: 418 QRPLILVGDGAFQMTGWELGNCRRYGWDPIVLLFNNASWEMLRTFQPESGFNDLDDWGFA 477

Query: 481 DMAAGMGGDGVRVRTRAELKAALDKAFATRGRFQLIEAMIPRGVLSDTLARFVQGQKRLH 540
            MAAG+GGDGVRV TRA+LKAALDKA ATRGRFQLIE MIPRGVLS++L+RFV   KRL+
Sbjct: 478 QMAAGLGGDGVRVHTRAQLKAALDKAIATRGRFQLIEVMIPRGVLSESLSRFVNAVKRLN 537

Query: 541 AA 542
           AA
Sbjct: 538 AA 539


Lambda     K      H
   0.321    0.137    0.405 

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: 931
Number of extensions: 28
Number of successful extensions: 4
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: 545
Length of database: 542
Length adjustment: 35
Effective length of query: 510
Effective length of database: 507
Effective search space:   258570
Effective search space used:   258570
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: 52 (24.6 bits)

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

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Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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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