Alignments for a candidate for pccB in Sedimenticola selenatireducens DSM 17993

GapMind for catabolism of small carbon sources

Alignments for a candidate for pccB in Sedimenticola selenatireducens DSM 17993

Align propionyl-CoA carboxylase α subunit (EC 6.4.1.3) (characterized)
to candidate WP_029133982.1 A3GO_RS0114360 carboxyl transferase domain-containing protein

Query= metacyc::MONOMER-17283
         (535 letters)



>NCBI__GCF_000428045.1:WP_029133982.1
          Length = 535

 Score =  748 bits (1931), Expect = 0.0
 Identities = 365/535 (68%), Positives = 425/535 (79%)

Query: 1   MSIIHSHIQPNSPDFQANFAYHQSLAADLRERLAQIRQGGGAEQRRRHEERGKLFVRDRI 60
           MS+I S I   S  ++ N  + Q+L ADLRER+  I +GGG   R +H +RGKL  R+RI
Sbjct: 1   MSVIKSSINRKSEQYRENQVFMQALVADLRERVEVIAEGGGERAREKHLKRGKLLPRERI 60

Query: 61  DTLIDPDSSFLEIGALAAYNVYDEEVPAAGIVCGIGRVAGRPVMIIANDATVKGGTYFPL 120
             L+D  S FLE+   AA+ +Y+ EVPAAG++ GIGRV G+  MIIANDATVKGG+YFP+
Sbjct: 61  RVLLDTGSPFLELSQFAAFGMYNNEVPAAGVITGIGRVCGQECMIIANDATVKGGSYFPM 120

Query: 121 TVKKHLRAQEIARENRLPCIYLVDSGGAYLPLQSEVFPDRDHFGRIFYNQAQMSAEGIPQ 180
           TVKKH+RAQEIARENRLPCIYLVDSGGA LP Q EVFPDR+HFGRIFYNQA MSA+GIPQ
Sbjct: 121 TVKKHIRAQEIARENRLPCIYLVDSGGANLPTQDEVFPDREHFGRIFYNQANMSAQGIPQ 180

Query: 181 IACVMGSCTAGGAYVPAMSDEVVIVKGNGTIFLGGPPLVKAATGEEVTAEELGGADVHTR 240
           +A VMGSCTAGGAYVPAMSDE +IVK  GTIFLGGPPLVKAATG  VTAEELGGADVH+R
Sbjct: 181 VAVVMGSCTAGGAYVPAMSDESIIVKEQGTIFLGGPPLVKAATGAVVTAEELGGADVHSR 240

Query: 241 ISGVADYFANDDREALAIVRDIVAHLGPRQRANWELRDPEPPRYDPREIYGILPRDFRQS 300
            SGV D++A +D  AL + R +V  L   +R    LR P  P Y   +IYGI+P D R+ 
Sbjct: 241 TSGVTDHYAMNDSHALGLARRVVNTLNRDKRPEVTLRQPVEPLYPKEDIYGIVPTDLRKP 300

Query: 301 YDVREVIARIVDGSRLHEFKTRYGTTLVCGFAHIEGFPVGILANNGILFSESALKGAHFI 360
           +D+REVIAR+VDGS L EFK  YGTTL+CGFAHI G+PVGI+ANNGILFSESA KGAHF+
Sbjct: 301 FDIREVIARVVDGSELDEFKKLYGTTLICGFAHIHGYPVGIVANNGILFSESAQKGAHFV 360

Query: 361 ELCCARNIPLVFLQNITGFMVGKQYENGGIAKDGAKLVTAVSCANVPKFTVIIGGSFGAG 420
           ELC  R IPLVFLQN+TGFMVGK+YE GGIAKDGAK+VTAV+CA VPKFT+I+GGSFGAG
Sbjct: 361 ELCAQRGIPLVFLQNVTGFMVGKKYEAGGIAKDGAKMVTAVACAKVPKFTIIVGGSFGAG 420

Query: 421 NYGMCGRAYQPRQLWMWPNARISVMGGTQAANVLLTIRRDNLRARGQDMTPEEQERFMAP 480
           NY MCGRAY  R LWMWPNAR+SVMGG QAANVL  I+RD L ARG+     ++E F AP
Sbjct: 421 NYAMCGRAYGSRFLWMWPNARVSVMGGEQAANVLGQIKRDALEARGESWAAADEEAFKAP 480

Query: 481 ILAKYEQEGHPYYASARLWDDGVIDPVETRRVLALGLAAAAEAPVQPTRFGVFRM 535
           I  +YE +GHPYYASARLWDDG+IDP +TR VL LGL+AA  APV+ T FG+FRM
Sbjct: 481 IRDQYEHQGHPYYASARLWDDGIIDPADTRTVLGLGLSAALNAPVEKTTFGIFRM 535


Lambda     K      H
   0.322    0.139    0.423 

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: 975
Number of extensions: 45
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: 535
Length of database: 535
Length adjustment: 35
Effective length of query: 500
Effective length of database: 500
Effective search space:   250000
Effective search space used:   250000
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 Apr 09 2024. 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 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