GapMind for Amino acid biosynthesis

 

Aligments for a candidate for dapC in Caulobacter crescentus NA1000

Align succinyldiaminopimelate transaminase (EC 2.6.1.17) (characterized)
to candidate CCNA_01603 CCNA_01603 aspartate aminotransferase

Query= BRENDA::P9WPZ5
         (397 letters)



>FitnessBrowser__Caulo:CCNA_01603
          Length = 400

 Score =  155 bits (392), Expect = 2e-42
 Identities = 114/364 (31%), Positives = 181/364 (49%), Gaps = 22/364 (6%)

Query: 5   RLRPYATTVFAEMSALATRIG--AVNLGQGFPDEDGPPKMLQAAQDAIAGGVNQYPPGPG 62
           R+ P AT   +  +      G   + L  G PD D P  +  AA +AI  G  +Y    G
Sbjct: 10  RIAPSATIAISAKARALKAAGRDVIALSAGEPDFDTPDNIKNAAIEAIKAGKTKYTDPDG 69

Query: 63  SAPLRRAIAAQRRRHFGVDYDPETEVLVTVGATEAIAAAVLGLVEPGSEVLLIEPFYDSY 122
              L+ AI A+ +R  G++Y P +++ V  G    I  A++  + PG EV++  P++ SY
Sbjct: 70  MPELKAAICAKFKRENGLEYKP-SQIHVAPGGKPVIYNALVATLNPGDEVIIPAPYWVSY 128

Query: 123 SPVVAMAGAHRVTVPLVPDGRGFALDADALRRAVTPRTRALIINSPHNPTGAVLSATELA 182
             +  +AG   V+V    +  GF +  +AL  A+TP+T+ LIINSP NP+G   S  EL 
Sbjct: 129 PDMTLLAGGTPVSVETTAES-GFKITPEALEAAITPKTKWLIINSPSNPSGGAYSRAELQ 187

Query: 183 AIAEIAVAANLV-VITDEVYEHLVFDHARHLPLAGFD-GMAERTITISSAAKMFNCTGWK 240
           AIA++ +    V V+TD++YEHLVFD      +A  +  + +RT+T++  +K ++ TGW+
Sbjct: 188 AIADVLLRHPQVWVLTDDMYEHLVFDDFEFTTIAQVEPKLYDRTLTMNGVSKGYSMTGWR 247

Query: 241 IGWACGPAELIAGVRAAKQYLSYVGGAP---FQPAVALALDTEDAWVAALRNSLRARRDR 297
           IG+A GP  LI   +A  + +S     P    Q A   AL+    ++       + RRD 
Sbjct: 248 IGYAAGPEPLI---KAMGKMISQTTSNPCSISQWAALEALNGTQDFIKPNAKLFQERRDL 304

Query: 298 LAAGLTE-IGFAVHDSYGTYFL---CAD------PRPLGYDDSTEFCAALPEKVGVAAIP 347
           + + L +  G       G +++   CA       P     +   +F   L E  GVA + 
Sbjct: 305 VVSMLNQATGLHCPTPEGAFYVYPSCAGLIGKTAPSGKVIESDEDFATELLESEGVAVVH 364

Query: 348 MSAF 351
            +AF
Sbjct: 365 GAAF 368


Lambda     K      H
   0.321    0.135    0.405 

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: 369
Number of extensions: 18
Number of successful extensions: 4
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: 397
Length of database: 400
Length adjustment: 31
Effective length of query: 366
Effective length of database: 369
Effective search space:   135054
Effective search space used:   135054
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: 50 (23.9 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