GapMind for catabolism of small carbon sources

 

Aligments for a candidate for PA5503 in Dyella japonica UNC79MFTsu3.2

Align Methionine import ATP-binding protein MetN 2, component of L-Histidine uptake porter, MetIQN (characterized)
to candidate N515DRAFT_1085 N515DRAFT_1085 D-methionine transport system ATP-binding protein

Query= TCDB::Q9HT70
         (335 letters)



>lcl|FitnessBrowser__Dyella79:N515DRAFT_1085 N515DRAFT_1085
           D-methionine transport system ATP-binding protein
          Length = 336

 Score =  458 bits (1179), Expect = e-134
 Identities = 237/334 (70%), Positives = 272/334 (81%)

Query: 1   MIEFHDVHKTYRVAGREIPALQPTRLNIQAGQIFGLIGHSGAGKSTLLRLINRLEEPSGG 60
           MI F DVHK+YRV G++IPALQP  L+I  G++FG+IGHSGAGKSTL+RLIN LE PSGG
Sbjct: 1   MIRFVDVHKSYRVDGKDIPALQPFSLDIADGEVFGIIGHSGAGKSTLIRLINLLERPSGG 60

Query: 61  RILVEGEDVTALDAEGLRRFRQRVGMIFQHFNLLSSKTVADNIAMPLRLAGGFSRAEVDA 120
            IL++G ++TAL    LR  R+R+GMIFQHFNLLSS+TVADNIA PLRLAG     ++ A
Sbjct: 61  SILIDGTEMTALGDAALRAQRRRIGMIFQHFNLLSSQTVADNIAFPLRLAGETDAGKIKA 120

Query: 121 RVSELLARVGLSDHARKYPAQLSGGQKQRVGIARALACRPSILLCDEATSALDPQTTASV 180
           RV ELL RVGL  HA KYPAQLSGGQKQRVGIARALA RPSILLCDEATSALDPQTTASV
Sbjct: 121 RVDELLRRVGLEAHASKYPAQLSGGQKQRVGIARALANRPSILLCDEATSALDPQTTASV 180

Query: 181 LQLLAEINRELKLTIVLITHEMDVIRRVCDQVAVMDGGAIVEQGDVADVFLHPQHPTTRR 240
           L+LLAEINRELKLTIVLITHEMDV+RRVCD+VAV+D G IVE G VADVFLHP+HPTTRR
Sbjct: 181 LELLAEINRELKLTIVLITHEMDVVRRVCDRVAVLDAGRIVEHGAVADVFLHPRHPTTRR 240

Query: 241 FVFEAERVDEDERHDDFAHVPGLILRLTFRGEATYAPLLGTVARQTGVDYSILSGRIDRI 300
           FV EA   +       + HVPG ILRL+FRGEAT+ P LG VAR TGVD++IL+GRIDRI
Sbjct: 241 FVNEALPEEAAGELAPYTHVPGRILRLSFRGEATWTPALGRVARDTGVDFNILAGRIDRI 300

Query: 301 KDTPYGQLTLALVGGDLEAAMSQLNAADVHVEVL 334
           KD PYGQLTLA+ G  ++ A+  L AA + +E L
Sbjct: 301 KDLPYGQLTLAMQGSGVDQALVALRAAGIEIEEL 334


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: 436
Number of extensions: 9
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: 335
Length of database: 336
Length adjustment: 28
Effective length of query: 307
Effective length of database: 308
Effective search space:    94556
Effective search space used:    94556
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