Alignments for a candidate for nagEcba in Klebsiella michiganensis M5al

GapMind for catabolism of small carbon sources

Alignments for a candidate for nagEcba in Klebsiella michiganensis M5al

Align protein-Npi-phosphohistidine-N-acetyl-D-glucosamine phosphotransferase (EC 2.7.1.193) (characterized)
to candidate BWI76_RS08220 BWI76_RS08220 PTS N-acetyl glucosamine transporter subunit IIABC

Query= BRENDA::P45604
         (651 letters)



>FitnessBrowser__Koxy:BWI76_RS08220
          Length = 650

 Score = 1182 bits (3059), Expect = 0.0
 Identities = 601/651 (92%), Positives = 626/651 (96%), Gaps = 1/651 (0%)

Query: 1   MNILGFFQRLGRALQLPIAVLPVAALLLRFGQPDLLNVPFIAQAGGAIFDNLALIFAIGV 60
           MNILGFFQRLGRALQLPIAVLPVAALLLRFGQPDLLN+ FIAQAGGAIFDNLALIFAIGV
Sbjct: 1   MNILGFFQRLGRALQLPIAVLPVAALLLRFGQPDLLNISFIAQAGGAIFDNLALIFAIGV 60

Query: 61  ASSWSKDNAGSAALAGAVGYFVMTKAMVTINPEINMGVLAGIITGLVAGAVYNRWAGIKL 120
           ASSWSKD+AG+AALAGAVGYFV+TKAMVTINP INMGVLAGIITGLV GAVYNRW+GIKL
Sbjct: 61  ASSWSKDSAGAAALAGAVGYFVLTKAMVTINPAINMGVLAGIITGLVGGAVYNRWSGIKL 120

Query: 121 PDFLSFFGGKRFVPIATGFFCLILAAIFGYVWPPVQHAIHSGGEWIVSAGALGSGIFGFI 180
           PDFLSFFGGKRFVPIATGFFCL+LAAIFGYVWPPVQ+AIH+GGEWIV AGALGSGIFGFI
Sbjct: 121 PDFLSFFGGKRFVPIATGFFCLVLAAIFGYVWPPVQNAIHAGGEWIVGAGALGSGIFGFI 180

Query: 181 NRLLIPTGLHQVLNTIAWFQIGEFTNAAGTVFHGDINRFYAGDGTAGMFMSGFFPIMMFG 240
           NRLLIPTGLHQVLNTIAWFQIGEFTNAAG VFHGDINRFYAGDGTAGMFMSGFFPIMMFG
Sbjct: 181 NRLLIPTGLHQVLNTIAWFQIGEFTNAAGAVFHGDINRFYAGDGTAGMFMSGFFPIMMFG 240

Query: 241 LPGAALAMYLAAPKARRPMVGGMLLSVAITAFLTGVTEPLEFLFLFLAPLLYLLHAVLTG 300
           LPGAALAMY AAPK RRPMVGGMLLSVAITAFLTGVTEPLEFLF+FLAPLLYLLHA+LTG
Sbjct: 241 LPGAALAMYFAAPKERRPMVGGMLLSVAITAFLTGVTEPLEFLFMFLAPLLYLLHAILTG 300

Query: 301 ISLFIATALGIHAGFSFSAGAIDYVLMYSLPAASKNVWMLLVMGVVFFFVYFLLFSAVIR 360
           ISLF+ATALGIHAGFSFSAGAIDYVLMYSLPAASKNVWML+VMGVVFF +YFLLFSAVIR
Sbjct: 301 ISLFVATALGIHAGFSFSAGAIDYVLMYSLPAASKNVWMLIVMGVVFFVIYFLLFSAVIR 360

Query: 361 MFNLKTPGREDKAADVVTEEANSNTEEGLTQLATSYIAAVGGTDNLKAIDACITRLRLTV 420
           MFNLKTPGREDK  DVVTEEANSNTEEGLTQLAT+YIAAVGGTDNLKAIDACITRLRLTV
Sbjct: 361 MFNLKTPGREDKVDDVVTEEANSNTEEGLTQLATNYIAAVGGTDNLKAIDACITRLRLTV 420

Query: 421 GDSAKVNDAACKRLGASGVVKLNKQTIQVIVGAKAESIGDEMKKVVTRGPVAAAAAAPAG 480
            DSA VNDAACKRLGASGVVKLNKQTIQVIVGAKAES+GDEMKKVV RGPVAAAAAA + 
Sbjct: 421 ADSALVNDAACKRLGASGVVKLNKQTIQVIVGAKAESVGDEMKKVVARGPVAAAAAA-SH 479

Query: 481 NVATAAPAAKPQAVANAKTVESLVSPITGDVVALEQVPDEAFASKAVGDGIAVKPTDNIV 540
           +   AA A KPQAVANAKTVE+LVSPITGD+VALEQVPDEAFASKAVGDG+AVKPTD IV
Sbjct: 480 SAPVAAQAVKPQAVANAKTVEALVSPITGDIVALEQVPDEAFASKAVGDGVAVKPTDKIV 539

Query: 541 VAPAAGTVVKIFNTNHAFCLETNNGAEIVVHMGIDTVALEGKGFKRLVEEGTDVKAGEPI 600
           VAPAAGTVVKIFNTNHAFCLET NGAEIVVHMGIDTVAL G+GFKRLVEEG +VKAGEPI
Sbjct: 540 VAPAAGTVVKIFNTNHAFCLETENGAEIVVHMGIDTVALNGQGFKRLVEEGAEVKAGEPI 599

Query: 601 LEMDLDFLNANARSMISPVVCSNSDDYSALVILASGKVVAGQTPLYEIKGK 651
           LE+DL+FLNANARSMISPVVCSNSDDYSALVI A+GKVVAGQTPLYEIKGK
Sbjct: 600 LELDLEFLNANARSMISPVVCSNSDDYSALVIQATGKVVAGQTPLYEIKGK 650


Lambda     K      H
   0.323    0.138    0.406 

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: 1311
Number of extensions: 44
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: 651
Length of database: 650
Length adjustment: 38
Effective length of query: 613
Effective length of database: 612
Effective search space:   375156
Effective search space used:   375156
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.5 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (22.0 bits)
S2: 54 (25.4 bits)

This GapMind analysis is from Sep 17 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, 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

GapMind for catabolism of small carbon sources