GapMind for catabolism of small carbon sources

 

Aligments for a candidate for potA in Pseudomonas putida KT2440

Align spermidine/putrescine ABC transporter, ATP-binding protein PotA; EC 3.6.3.31 (characterized)
to candidate PP_1722 PP_1722 ABC transporter, ATP-binding protein

Query= CharProtDB::CH_024626
         (378 letters)



>FitnessBrowser__Putida:PP_1722
          Length = 329

 Score =  276 bits (705), Expect = 8e-79
 Identities = 157/337 (46%), Positives = 212/337 (62%), Gaps = 33/337 (9%)

Query: 18  VQLAGIRKCFDGKEVIPQLDLTINNGEFLTLLGPSGCGKTTVLRLIAGLETVDSGRIMLD 77
           V +  ++K + G  V  ++D  I  GEF+TLLGPSGCGK+T+LR IAGL +VDSG+I+LD
Sbjct: 4   VSVQKLQKSYAGSPVFERIDCHIERGEFVTLLGPSGCGKSTLLRCIAGLTSVDSGQILLD 63

Query: 78  NEDITHVPAENRYVNTVFQSYALFPHMTVFENVAFGLRMQKTPAAEITPRVMEALRMVQL 137
             DI  +  + R +  VFQSYALFP+MTV +NVAFGLRMQK  A E   RV E L +V+L
Sbjct: 64  GHDIVPLSPQKRGIGMVFQSYALFPNMTVEQNVAFGLRMQKVKADESQLRVREVLELVEL 123

Query: 138 ETFAQRKPHQLSGGQQQRVAIARAVVNKPRLLLLDESLSALDYKLRKQMQNELKALQRKL 197
             FA R PHQLSGGQ QRVA+AR++V +PRLLLLDE LSALD ++RK ++ +++A+QR+L
Sbjct: 124 GKFAGRYPHQLSGGQCQRVALARSLVTRPRLLLLDEPLSALDARIRKHLREQIRAIQREL 183

Query: 198 GITFVFVTHDQEEALTMSDRIVVMRDGRIEQDGTPREIYEEPKNLFVAGFIGEINMFNAT 257
           G+T +FVTHDQEEALTMSDRI +M  GRI Q G    +Y  P +LF AGFIG  N+ +A 
Sbjct: 184 GLTTIFVTHDQEEALTMSDRIFLMNQGRIVQSGDAETLYTAPVDLFAAGFIGNYNLLDAD 243

Query: 258 VIERLDEQRVRANVEGRECNIYVNFAVEPGQKLHVLLRPEDLRV---EEINDDNHAEGLI 314
              RL ++ V +                      + +RPE + +    E++ +  +  L+
Sbjct: 244 SASRLLQRPVAS---------------------RLAIRPESITLGEHGELDAEVRSHSLL 282

Query: 315 GYVRERNYKGMTLESVVELEN---------GKMVMVS 342
           G V     +   +E VV++ N         GK V VS
Sbjct: 283 GNVIRYRVRVREVELVVDVLNRSPADLHADGKRVSVS 319


Lambda     K      H
   0.319    0.136    0.385 

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: 300
Number of extensions: 14
Number of successful extensions: 1
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: 378
Length of database: 329
Length adjustment: 29
Effective length of query: 349
Effective length of database: 300
Effective search space:   104700
Effective search space used:   104700
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 (21.7 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