GapMind for catabolism of small carbon sources

 

Aligments for a candidate for Ac3H11_1694 in Magnetospirillum magneticum AMB-1

Align ABC transporter ATP-binding protein (characterized, see rationale)
to candidate WP_011384209.1 AMB_RS09130 high-affinity branched-chain amino acid ABC transporter permease LivM

Query= uniprot:A0A165KER0
         (358 letters)



>NCBI__GCF_000009985.1:WP_011384209.1
          Length = 415

 Score =  248 bits (632), Expect = 3e-70
 Identities = 154/353 (43%), Positives = 210/353 (59%), Gaps = 46/353 (13%)

Query: 8   WIIGAVALLVLPLILQSFGNAWVRIADLALLYVLLALGLNIVVGYAGLLDLGYVAFYAVG 67
           W + A AL +LP +  S G   V  A L L+YV+L  GLNIVVG AGLLDLG+VAFYAVG
Sbjct: 89  WAMVAFAL-ILPFLPFS-GRNLVDKATLVLIYVMLGWGLNIVVGLAGLLDLGFVAFYAVG 146

Query: 68  AYLFALMASPHLADNFAAFAAMFPNGLHTSLWIVIPVAALLAAFFGAMLGAPTLKLRGDY 127
           AY +AL++                 GL  S W+ +P+A LLAA FG +LG P L+LRGDY
Sbjct: 147 AYSYALLSQTF--------------GL--SFWVCLPLAGLLAAAFGMVLGFPVLRLRGDY 190

Query: 128 LAIVTLGFGEIIRIFLNNLDHPVNLTNGPKGLGQIDSVKVFGLDL------GKRL--EVF 179
           +AIVT+G GEI+R+ L N     ++T GP G+  I+   +FGL        G +   E F
Sbjct: 191 IAIVTMGLGEIVRVVLQNWQ---DVTGGPNGISGIERPSLFGLSFKMVPPEGSQTFAEFF 247

Query: 180 GFDINS---VTLYYYLFLVLVVVSVIICYRLQDSRIGRAWMAIREDEIAAKAMGINTRNM 236
           G D ++   V   Y+L L L +++ +I  R++   +GRAW A+REDEIA +++GIN   +
Sbjct: 248 GLDYSADHRVIFLYFLILALALLTNVITLRIRRLPVGRAWEALREDEIACRSLGINPTLV 307

Query: 237 KLLAFGMGASFGGVSGAMFGAFQGFVSPESFSLMESVMIVAMVVLGGIGHIPGVILGAVL 296
           KL AF  GA F G +G+ F   QGF+SPESF+ +ES +I+A+VVLGG+G   G++L A+L
Sbjct: 308 KLSAFATGAMFAGFAGSFFATRQGFISPESFTFIESAVILAIVVLGGMGSQIGIVLAALL 367

Query: 297 LSALPEVLRYVAGPLQAMTDGRLDSAILRQLLIALAMIIIMLLRPRGLWPSPE 349
           L  LPE  R              +    R L    AM++IML +P GL  + E
Sbjct: 368 LVGLPEWFR--------------ELQQFRMLAFGGAMVLIMLWKPAGLLSTRE 406


Lambda     K      H
   0.328    0.144    0.430 

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: 435
Number of extensions: 19
Number of successful extensions: 4
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: 358
Length of database: 415
Length adjustment: 30
Effective length of query: 328
Effective length of database: 385
Effective search space:   126280
Effective search space used:   126280
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.7 bits)
S2: 50 (23.9 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