GapMind for catabolism of small carbon sources

 

Aligments for a candidate for PA5503 in Pseudomonas fluorescens FW300-N1B4

Align Methionine import ATP-binding protein MetN 2, component of L-Histidine uptake porter, MetIQN (characterized)
to candidate Pf1N1B4_1702 Methionine ABC transporter ATP-binding protein

Query= TCDB::Q9HT70
         (335 letters)



>FitnessBrowser__pseudo1_N1B4:Pf1N1B4_1702
          Length = 373

 Score =  281 bits (719), Expect = 2e-80
 Identities = 161/340 (47%), Positives = 213/340 (62%), Gaps = 8/340 (2%)

Query: 2   IEFHDVHKTYRVAGREIPALQPTRLNIQAGQIFGLIGHSGAGKSTLLRLINRLEEPSGGR 61
           + F  + KTY      + AL    L IQ G++FG+IG SGAGKS+L+R INRLE+PS GR
Sbjct: 31  VRFIGLGKTYNGQQGPVAALHGIDLAIQRGEVFGIIGRSGAGKSSLIRTINRLEQPSSGR 90

Query: 62  ILVEGEDVTALDAEGLRRFRQRVGMIFQHFNLLSSKTVADNIAMPLRLAGGFSRAEVDAR 121
           +L++  D+   D + L   R+R+GMIFQHFNL+S+KTV  N+ +PL++AG   + + + +
Sbjct: 91  VLIDQVDIGEFDEDRLVALRRRIGMIFQHFNLMSAKTVWQNVELPLKVAG-VPKEQRERK 149

Query: 122 VSELLARVGLSDHARKYPAQLSGGQKQRVGIARALACRPSILLCDEATSALDPQTTASVL 181
           V ELL  VGL    + YPAQLSGGQKQRVGIARAL   P ILLCDEATSALDP+TT S+L
Sbjct: 150 VRELLELVGLQGKHKSYPAQLSGGQKQRVGIARALVHDPEILLCDEATSALDPETTQSIL 209

Query: 182 QLLAEINRELKLTIVLITHEMDVIRRVCDQVAVMDGGAIVEQGDVADVFLHPQHPTTRRF 241
            LL EIN+ L LTIVLITHEM VIR +CD+V V++ G IVEQG V +VF +PQH  ++  
Sbjct: 210 GLLREINQRLGLTIVLITHEMAVIRDICDRVVVLEHGQIVEQGPVWEVFGNPQHEVSKTL 269

Query: 242 VFEAERVDEDERHDDFAHVP-----GLILRLTFRGEATYAPLLGTVARQTGVDYSILSGR 296
           +   +    +E        P      ++LRL F G  +  P L  +    G    +L G 
Sbjct: 270 LAPLQHALPEELQSRLRPQPQSSDAAVVLRLQFTGSTSEEPDLAALFSALGGRVRLLQGG 329

Query: 297 IDRIKDTPYGQLTLALVGGDLEAAMSQLNAAD--VHVEVL 334
           ++RI+    GQL LA+ G  L A   +  A +    VEVL
Sbjct: 330 VERIQGHALGQLLLAVTGSSLSAEELRQRAGNWAQQVEVL 369


Lambda     K      H
   0.322    0.138    0.393 

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: 349
Number of extensions: 15
Number of successful extensions: 3
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: 335
Length of database: 373
Length adjustment: 29
Effective length of query: 306
Effective length of database: 344
Effective search space:   105264
Effective search space used:   105264
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (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