Alignments for a candidate for malEIICB in Caulobacter crescentus NA1000

GapMind for catabolism of small carbon sources

Alignments for a candidate for malEIICB in Caulobacter crescentus NA1000

Align The Maltose group translocator, MalT of 470 aas and 10 TMSs. Takes up extracellular maltose, releasing maltose-phosphate into the cytoplasm (characterized)
to candidate CCNA_00458 CCNA_00458 PTS system, N-acetylglucosamine-specific IIBC component

Query= TCDB::Q63GK8
         (545 letters)



>FitnessBrowser__Caulo:CCNA_00458
          Length = 584

 Score =  217 bits (553), Expect = 9e-61
 Identities = 175/545 (32%), Positives = 270/545 (49%), Gaps = 67/545 (12%)

Query: 10  QKFGKALLVVVAVMPAAGLMISIGK--LIG---MSAGDINAVHTIARVMEDIGWAIITNL 64
           Q  G+AL++ +AV+P A L++ IG+  L+G   ++A       ++A      G AI  +L
Sbjct: 9   QPLGRALMLPIAVLPVAALLLRIGQPDLLGAPALAAATHGMSLSVANTFGAAGGAIFASL 68

Query: 65  HILFAVAIGGSWAKDRAGGA-FAALLAFVLTNRITGAIFGVNAEMLADSKAKVSSVL-AG 122
            ++FA+ +    A++  G A  A ++ +V+  +      GV A ++A  +    +V  A 
Sbjct: 69  GLIFAIGVAVGLARENHGAAGLAGVVCYVIATK------GVEALLVAPPEVAAKAVEGAK 122

Query: 123 DLIVKDYFTSVLGAPALNMGVFVGIITGFLGATLYNKYYNYNKLPQALAFFNGKRFVPFV 182
           DL +  +    +G  ++ +G+  G+I+G     LYN+Y    +LP+ LAFF G+RFVP V
Sbjct: 123 DLAIAAWKAKEIGKLSIPVGILSGVISG----ALYNRYSTI-QLPEYLAFFGGRRFVPIV 177

Query: 183 VIVWSTVTAIVLSLLWPFIQSGLNEFGRWIAASKDSAPIVAPFVYGTLERLLLPFGLHHM 242
             +   V A++    W  +++G++     + AS D   +    VYG L RLL+  GLHH+
Sbjct: 178 AGLAGVVLALLFGAFWSTLEAGVDGLSGLVTASGDLGLV----VYGLLNRLLIVTGLHHI 233

Query: 243 LTIPMNYTELGGTYTMLTGSKVGQVVAGQDPLWLAWITDLNNLLANGDTKAYNDLLNNVV 302
           L   + +  + G +  +TG                   DLN   A GD  A         
Sbjct: 234 LNNVVWF--ILGDFNGVTG-------------------DLNRFAA-GDKTA--------- 262

Query: 303 PARFKAGQVIGSTAALMGIAFAMFRNVDKEKRAKYKPMFLSAALAVFLTGVTEPIEFMFM 362
              F +G        L     AM      E+R     M  S AL  FLTGVTEPIEF FM
Sbjct: 263 -GAFMSGFFPVMMFGLPAACLAMLHTARPERRKAVAGMLGSLALTSFLTGVTEPIEFTFM 321

Query: 363 FIAPVLYVVYAITTGLAFALADLINLRVHAFGFIELITRTPMMVNAGLTRDLINFVIVSL 422
           F+APVL+ ++A+ TGL+ AL +++++++  FGF   +    +  N   TR L+  + V L
Sbjct: 322 FLAPVLFAIHALLTGLSMALMNMLDVKL-GFGFSAGLFDYVLNFNKA-TRPLL-LIPVGL 378

Query: 423 VFFGLNFTLFNFLIKKFNLPTPGRAGNYIDNEDEASEGTGNV-QDGSLATKVIDLLGGKE 481
           V+  L + +F F I +F+L TPGR       EDEA      V   G     ++  LGG  
Sbjct: 379 VYGALYYGVFRFAILRFDLKTPGR-------EDEAPPSAQAVTTGGGRGADMLAALGGAA 431

Query: 482 NIADVDACMTRLRVTVKDLDVVAPEAQWKQNGALGLI-VKDKGVQAVYGPKADVLKSDIQ 540
           N+  VDAC TRLR+ V D  +V  E   K  GA G++   DK +Q V GP AD +  +I+
Sbjct: 432 NLVSVDACTTRLRLIVVDQGLV-NEPALKALGARGVVRPSDKALQVVLGPIADTVAGEIR 490

Query: 541 DMLGA 545
             + A
Sbjct: 491 HAISA 495



 Score = 30.8 bits (68), Expect = 1e-04
 Identities = 21/75 (28%), Positives = 36/75 (48%), Gaps = 2/75 (2%)

Query: 470 ATKVIDLLGGKENIADVDACMTRLRVTVKDLDVVAPEAQWKQNGALGLI-VKDKGVQAVY 528
           A  ++  LGG +N+ D+    +RLRV + D   V  +A     G  G + V +     V 
Sbjct: 511 AKALLAALGGADNLRDLSVHASRLRVVLNDPQRV-DQAALHTAGVRGFVRVGEHAAHVVL 569

Query: 529 GPKADVLKSDIQDML 543
           GP+A  +   ++ M+
Sbjct: 570 GPEAQRIGQAVRAMI 584


Lambda     K      H
   0.325    0.140    0.416 

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: 783
Number of extensions: 43
Number of successful extensions: 7
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 3
Number of HSP's successfully gapped: 2
Length of query: 545
Length of database: 584
Length adjustment: 36
Effective length of query: 509
Effective length of database: 548
Effective search space:   278932
Effective search space used:   278932
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.6 bits)
S2: 53 (25.0 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
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