GapMind for Amino acid biosynthesis

 

Aligments for a candidate for lysY in Phaeobacter inhibens BS107

Align Putative [LysW]-L-2-aminoadipate/[LysW]-L-glutamate phosphate reductase; EC 1.2.1.-; EC 1.2.1.103 (characterized, see rationale)
to candidate GFF1682 PGA1_c17050 N-acetyl-gamma-glutamyl-phosphate reductase ArgC

Query= uniprot:Q5JFW1
         (330 letters)



>FitnessBrowser__Phaeo:GFF1682
          Length = 342

 Score =  222 bits (566), Expect = 9e-63
 Identities = 146/346 (42%), Positives = 192/346 (55%), Gaps = 26/346 (7%)

Query: 3   KAAVVGASGYIGGELVRLLAMHPEVEITAITSRRFAGQKVHKVHPNLRGLDLR-FTNTKE 61
           K A++GASGY G ELVRL++ HP +EI A+++ R AG  + +V P+LR L+L       E
Sbjct: 4   KVAILGASGYTGAELVRLISQHPTIEIAALSAERKAGMTMAQVFPHLRHLELPVLCKIGE 63

Query: 62  FD---ADVIFLAVPHGTSMEIIDDYLGSAKIIDMSADFRLRE-DLYREYYGE-HKRPELI 116
            D    D+ F A+PH TS E+I       KI+D+SADFRLR+ D Y ++YG  H      
Sbjct: 64  IDFTGIDLCFCALPHKTSQEVIAALPQDLKIVDLSADFRLRDPDEYEKWYGNPHAALAQQ 123

Query: 117 EEFVYGLPELHRKEIRKAELVANPGCNATATILALYPFREL----TDEAIVDLKVSSSAG 172
           +E VYGL E +R+EI+ A LVA  GCNA     AL P         D+ I+DLK + S  
Sbjct: 124 KEAVYGLSEFYREEIKSARLVAGTGCNAATGQFALRPLIASGVIDLDDIILDLKCAVSGA 183

Query: 173 GRRENVASIHPERSHVVRVYKPYH-HRHEGEVIQETG------VKAAFTVHSVDIIRGLL 225
           GR      +H E S     Y     HRH GE  QE        VK  FT H V   RG+L
Sbjct: 184 GRSLKENLLHAELSEGYHGYAVGGTHRHLGEFDQEFSKIAGRPVKVQFTPHLVPANRGIL 243

Query: 226 ATIYFRFEGSTRELLRKLLV--YKDEPFVRLVTDKGGLQRFPDPKYVIGSNFADIGFAHD 283
           AT+Y + +  T   + + L   Y DEPF+ L+         P  +++ GSNF  IG A D
Sbjct: 244 ATVYVKGDAQT---IHQTLATAYADEPFIELLP----FGEAPSTRHIRGSNFCHIGVAAD 296

Query: 284 EENSRAIVLSAIDNLIKGGSGQAVQNMNLMFGLDERTGLNYYPVYP 329
               R IV++A+DNL KG SGQA+QN NLM G +E TGL   P++P
Sbjct: 297 RIEGRTIVIAALDNLTKGSSGQALQNANLMLGEEETTGLMMAPLFP 342


Lambda     K      H
   0.321    0.140    0.404 

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: 311
Number of extensions: 22
Number of successful extensions: 6
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: 330
Length of database: 342
Length adjustment: 28
Effective length of query: 302
Effective length of database: 314
Effective search space:    94828
Effective search space used:    94828
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 (21.8 bits)
S2: 49 (23.5 bits)

This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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, or see changes to Amino acid biosynthesis since the publication.

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