GapMind for catabolism of small carbon sources

 

Aligments for a candidate for aatJ in Pseudomonas simiae WCS417

Align ABC transporter for L-Asparagine and possibly other L-amino acids, periplasmic substrate-binding component (characterized)
to candidate GFF1096 PS417_05560 ABC transporter

Query= reanno::pseudo13_GW456_L13:PfGW456L13_4770
         (304 letters)



>lcl|FitnessBrowser__WCS417:GFF1096 PS417_05560 ABC transporter
          Length = 308

 Score =  494 bits (1271), Expect = e-144
 Identities = 251/307 (81%), Positives = 265/307 (86%), Gaps = 4/307 (1%)

Query: 1   MRIVPHILGAAIAAALISTPVFAAELTGTLKKIKESGTITLGHRDASIPFSYIADASGKP 60
           MRIVPHILGAAIAAALISTPVFAAELTGTLKKI +SGTITL HRD+SIPFSYIAD SGKP
Sbjct: 1   MRIVPHILGAAIAAALISTPVFAAELTGTLKKINDSGTITLAHRDSSIPFSYIADGSGKP 60

Query: 61  VGYSHDIQLKVVEALKKDLDMPNLQVKYNLVTSQTRIPLVQNGTVDLECGSTTNNVERQQ 120
           VGYSHDIQL VVE LKKDL+ P+L+ KYNLVTSQTRIPL+QNGT DLECGSTTNN ER Q
Sbjct: 61  VGYSHDIQLAVVEQLKKDLNKPDLKAKYNLVTSQTRIPLIQNGTADLECGSTTNNAERAQ 120

Query: 121 QVDFSVGIFEIGTRLLSKADS----KYKDFPDLAGKNVVTTAGTTSERILKAMNADKQMG 176
           QVDF+V IFEIGTRLL K D      Y DF DL GKNVVTTAGTTSERI+KAMNADKQMG
Sbjct: 121 QVDFTVNIFEIGTRLLVKKDKDGKPSYADFADLKGKNVVTTAGTTSERIIKAMNADKQMG 180

Query: 177 MNVISAKDHGESFQMLETGRAVAFMMDDALLAGEAAKAKKASDWAVTGTPQSYEIYGCMV 236
           MNVISAKDHGESFQMLE+GRAVAFMMDDALLAGE AKAKK  DW +TGTPQS+E Y CMV
Sbjct: 181 MNVISAKDHGESFQMLESGRAVAFMMDDALLAGEEAKAKKPDDWVITGTPQSFEAYACMV 240

Query: 237 RKGDEPFKKAVDDAIKATYASGEINKIYEKWFMQPIPPKGLNLNFPMSDELKALIAKPTD 296
           RK D  FKKAVDDAI A Y SGEINKIY KWF  PIPPKGLNLNFPMSD++K LIA P+D
Sbjct: 241 RKDDPAFKKAVDDAIVALYKSGEINKIYSKWFESPIPPKGLNLNFPMSDKVKELIANPSD 300

Query: 297 KAADDKK 303
           K A D K
Sbjct: 301 KPAPDVK 307


Lambda     K      H
   0.315    0.131    0.368 

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: 363
Number of extensions: 8
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: 304
Length of database: 308
Length adjustment: 27
Effective length of query: 277
Effective length of database: 281
Effective search space:    77837
Effective search space used:    77837
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.5 bits)
S2: 48 (23.1 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