Alignments for a candidate for mcm-large in Leeuwenhoekiella blandensis MED217

GapMind for catabolism of small carbon sources

Alignments for a candidate for mcm-large in Leeuwenhoekiella blandensis MED217

Align methylmalonyl-CoA mutase (EC 5.4.99.2) (characterized)
to candidate WP_009780079.1 MED217_RS08415 methylmalonyl-CoA mutase

Query= BRENDA::P11653
         (728 letters)



>NCBI__GCF_000152985.1:WP_009780079.1
          Length = 694

 Score =  910 bits (2353), Expect = 0.0
 Identities = 457/670 (68%), Positives = 545/670 (81%), Gaps = 5/670 (0%)

Query: 58  MDWLDTYAGIPPFVHGPYATMYAFRPWTIRQYAGFSTAKESNAFYRRNLAAGQKGLSVAF 117
           ++ LD  AGIPP++ GPY+TMY  +PWTIRQYAGFSTA+ESNAFYRRNL AGQKGLSVAF
Sbjct: 29  LEHLDFAAGIPPYLRGPYSTMYVRKPWTIRQYAGFSTAEESNAFYRRNLKAGQKGLSVAF 88

Query: 118 DLPTHRGYDSDNPRVAGDVGMAGVAIDSIYDMRELFAGIPLDQMSVSMTMNGAVLPILAL 177
           DL THRGYDSD+ RV GDVG AGVAIDS+ DM+ LF  IPLD+MSVSMTMNGAVLP+LA 
Sbjct: 89  DLATHRGYDSDHERVEGDVGKAGVAIDSVEDMKLLFDQIPLDKMSVSMTMNGAVLPVLAF 148

Query: 178 YVVTAEEQGVKPEQLAGTIQNDILKEFMVRNTYIYPPQPSMRIISEIFAYTSANMPKWNS 237
           Y+V AEEQGV+ +QL GTIQNDILKEFMVRNTYIYPP PSMRIIS+IF YTS +MPK+NS
Sbjct: 149 YIVAAEEQGVQSKQLQGTIQNDILKEFMVRNTYIYPPAPSMRIISDIFKYTSEHMPKFNS 208

Query: 238 ISISGYHMQEAGATADIEMAYTLADGVDYIRAGESVGLNVDQFAPRLSFFWGIGMNFFME 297
           ISISGYHMQEAGATADIE+AYTLADG++YIR G   GL +D FAPRLSFFWGIGMN FME
Sbjct: 209 ISISGYHMQEAGATADIELAYTLADGLEYIRTGIEAGLKIDDFAPRLSFFWGIGMNHFME 268

Query: 298 VAKLRAARMLWAKLVHQFGPKNPKSMSLRTHSQTSGWSLTAQDVYNNVVRTCIEAMAATQ 357
           +AK+RAARMLWAK+V QF P+N KS+SLRTH QTSGWSLT QD +NNV RT IEA AA  
Sbjct: 269 IAKMRAARMLWAKIVKQFNPQNQKSLSLRTHCQTSGWSLTEQDPFNNVARTTIEAAAAAF 328

Query: 358 GHTQSLHTNSLDEAIALPTDFSARIARNTQLFLQQESGTTRVIDPWSGSAYVEELTWDLA 417
           G TQSLHTN+LDEAIALPTDFSARIARNTQLFLQ+E+  TR +DPW+GS YVE+LT ++A
Sbjct: 329 GGTQSLHTNALDEAIALPTDFSARIARNTQLFLQKETEITRTVDPWAGSHYVEKLTKEIA 388

Query: 418 RKAWGHIQEVEKVGGMAKAIEKGIPKMRIEEAAARTQARIDSGRQPLIGVNKYRLEHEPP 477
            KAW H++E+EK+GGM KAIEKGIPK RIEEAAAR QARIDSG+  +IGVNK+ L HE  
Sbjct: 389 DKAWEHLEEIEKLGGMTKAIEKGIPKQRIEEAAARKQARIDSGKDIIIGVNKFALAHEDE 448

Query: 478 LDVLKVDNSTVLAEQKAKLVKLRAERDPEKVKAALDKITWAAGNPDDKDPDRNLLKLCID 537
           L +L+VDN  V  +Q  +L  L+A+RD +KV  AL ++T  A + +      NLL L + 
Sbjct: 449 LAILEVDNVKVREQQLERLANLKAQRDQKKVDEALKQLTACATSGNG-----NLLNLSVA 503

Query: 538 AGRAMATVGEMSDALEKVFGRYTAQIRTISGVYSKEVKNTPEVEEARELVEEFEQAEGRR 597
           A R  AT+GE+S ALE VFGRY AQI++ SGVYSKEVK      +A+EL  +F + EGRR
Sbjct: 504 AARERATLGEISKALEDVFGRYKAQIKSFSGVYSKEVKQDQTFLKAQELANKFAKLEGRR 563

Query: 598 PRILLAKMGQDGHDRGQKVIATAYADLGFDVDVGPLFQTPEETARQAVEADVHVVGVSSL 657
           PRI++AKMGQDGHDRG KV+AT+YAD+GFDVD+ PLFQTP E A+QAVE DVH++G+SSL
Sbjct: 564 PRIMIAKMGQDGHDRGAKVVATSYADVGFDVDISPLFQTPAEVAKQAVENDVHILGISSL 623

Query: 658 AGGHLTLVPALRKELDKLGRPDILITVGGVIPEQDFDELRKDGAVEIYTPGTVIPESAIS 717
           AGGH TLVP + + L  LGR DI++ VGGVIP +D++ L K GAV ++ PG+ I E+AIS
Sbjct: 624 AGGHKTLVPQVIQHLQDLGRDDIMVIVGGVIPRKDYEFLFKSGAVAVFGPGSKISEAAIS 683

Query: 718 LVKKLRASLD 727
           +++ L  S +
Sbjct: 684 ILEILLQSFE 693


Lambda     K      H
   0.317    0.133    0.389 

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: 1217
Number of extensions: 40
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: 728
Length of database: 694
Length adjustment: 39
Effective length of query: 689
Effective length of database: 655
Effective search space:   451295
Effective search space used:   451295
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 (21.7 bits)
S2: 55 (25.8 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 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