GapMind for catabolism of small carbon sources

 

Aligments for a candidate for livJ in Sinorhizobium meliloti 1021

Align Solute-binding (Aliphatic amino acid) component of ABC transporter (characterized, see rationale)
to candidate SMc01946 SMc01946 leucine-specific binding protein

Query= uniprot:Q1MDE9
         (367 letters)



>FitnessBrowser__Smeli:SMc01946
          Length = 372

 Score =  336 bits (861), Expect = 7e-97
 Identities = 168/352 (47%), Positives = 230/352 (65%), Gaps = 1/352 (0%)

Query: 10  LVASLAFAPLAHADITIGLIAPLTGPVAAYGDQVKNGAQTAVDEINKKGGILGEKVVLEL 69
           L A +AF+  A ADI +G+  PLTGP AA+G Q++ GA+ A ++IN  GGI GE++ + L
Sbjct: 11  LTAMVAFSGTAWADILVGVGGPLTGPNAAFGAQLQKGAEQAAEDINAAGGINGEQIKVVL 70

Query: 70  ADDAGEPKQGVSAANKVVGDGIRFVVGPVTSGVAIPVSDVLAENGVLMVTPTATAPDLTK 129
            DD  +PKQGVS A K V DG++FVVG   SGV+IP S++ AENG+L VTP +T P  T+
Sbjct: 71  GDDVSDPKQGVSVAQKFVADGVKFVVGHFNSGVSIPASEIYAENGILQVTPASTNPQFTE 130

Query: 130 RGLTNVLRTCGRDDQQAEVAAKYVLKNFKDKRVAIVNDKGAYGKGLADAFKATLNAGGIT 189
           RGL N  RTCGRDDQQ  VA  Y+  NFKD +VA+++DK  YG+GLAD  K ++N  G+T
Sbjct: 131 RGLWNTFRTCGRDDQQGAVAGAYIAANFKDAKVAVIHDKTPYGQGLADETKKSMNEAGVT 190

Query: 190 EVVNDAITPGDKDFSALTTRIKSEKVDVVYFGGYHPEGGLLARQLHDLAANATIIGGDGL 249
           E + + I  GDKDFSAL  ++K   V +VY+GG H E GL+ RQ+ D    AT++ GDG+
Sbjct: 191 EALYEGINTGDKDFSALIAKMKQAGVSIVYYGGLHTEAGLIMRQMKDQGLKATMMSGDGI 250

Query: 250 SNTEFWAIGTDAAGGTIFTNASDATKSPDSKAAADALAAKNIPAEAFTLNAYAAVEVLKA 309
            + E  +I  DA  GT+ T A D  KSP +K   +   A     EA+TL AYAA++V+  
Sbjct: 251 VSNELASIAGDAVDGTLMTFAPDPRKSPAAKDLVEKFRAAGFEPEAYTLYAYAALQVIAE 310

Query: 310 GIEKAGSAEDAEAVATALKDGKEIPTAIGKVTYGETGDLTSQSFSLYKWEAG 361
           G + AG+  D +AVA A+K      TAIG++ + E GD+T   + +Y W+ G
Sbjct: 311 GAKAAGNT-DPQAVAEAIKAKGPFKTAIGELGFDEKGDITRPDYVMYTWKKG 361


Lambda     K      H
   0.312    0.131    0.362 

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: 446
Number of extensions: 23
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: 367
Length of database: 372
Length adjustment: 30
Effective length of query: 337
Effective length of database: 342
Effective search space:   115254
Effective search space used:   115254
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.2 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 42 (21.9 bits)
S2: 49 (23.5 bits)

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

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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:

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:

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:

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