GapMind for Amino acid biosynthesis

 

Aligments for a candidate for metC in Caulobacter crescentus NA1000

Align Cystathionine beta-lyase MetC; CBL; Beta-cystathionase MetC; Cysteine lyase MetC; Cysteine-S-conjugate beta-lyase MetC; EC 4.4.1.13 (characterized)
to candidate CCNA_02321 CCNA_02321 O-succinylhomoserine sulfhydrylase

Query= SwissProt::O31632
         (390 letters)



>FitnessBrowser__Caulo:CCNA_02321
          Length = 394

 Score =  241 bits (616), Expect = 2e-68
 Identities = 134/338 (39%), Positives = 206/338 (60%), Gaps = 5/338 (1%)

Query: 49  YSRSGTPTRTALEETIAALEGGTRGFAFSSGMAAISTAFL-LLSQGDHVLVTEDVYGGTF 107
           YSR   PT    E+ +A LEG     A ++GMA+I  A + L+  GDHV+    ++G   
Sbjct: 58  YSRFNNPTVKMFEDRLALLEGAEVCRAQATGMASIHAALMGLVRAGDHVVAGRALFGSCR 117

Query: 108 RMVTEVLTRFGIEHTFVDMTDRNEVARSIKPNTKVIYMETPSNPTLGITDIKAVVQLAKE 167
            +V+E L RFG+E TFVD TD      +++PNTK + +ETPSNP L ITDI+AV +LA  
Sbjct: 118 WIVSEWLPRFGVETTFVDATDPKAWEAAMRPNTKAVLVETPSNPVLEITDIRAVSELAHA 177

Query: 168 NGCLTFLDNTFMTPALQRPLDLGVDIVLHSATKFLSGHSDVLSGLAAVKDEELGKQLYK- 226
            G    +DN F TP  Q+PL+LG D+V++SATK + G   VL G A +  E + ++ Y+ 
Sbjct: 178 VGAKVIVDNVFATPIFQKPLELGADVVVYSATKHIDGQGRVLGG-AILTSEAINEEFYRD 236

Query: 227 -LQNAFGAVLGVQDCWLVLRGLKTLQVRLEKASQTAQRLAEFFQKHPAVKRVYYPGLADH 285
            L++  G  L   + W++L+GL+TL +R+ + + +A  LA    +H  V+ V YP   DH
Sbjct: 237 SLRHT-GPSLSPFNAWVMLKGLETLDLRVRRQADSAFALANTIAEHKKVQTVLYPFRPDH 295

Query: 286 PGAETHKSQSTGAGAVLSFELESKEAVKKLVENVSLPVFAVSLGAVESILSYPATMSHAA 345
           PG    K+Q TG G V++ +L S+EA  K +  + +   + +LG  +S+ ++P T +H +
Sbjct: 296 PGHNVAKAQMTGGGTVIALDLGSREAAFKFLNALEIVDISNNLGDAKSMATHPPTTTHRS 355

Query: 346 MPKEEREKRGITDGLLRLSVGVEHADDLEHDFEQALKE 383
           +P+ ER   G+T+G +RLSVG+E  +DL+ D  +AL +
Sbjct: 356 VPEAERPSLGVTEGGVRLSVGLESVEDLKRDVIRALDQ 393


Lambda     K      H
   0.317    0.132    0.374 

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: 403
Number of extensions: 18
Number of successful extensions: 3
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: 390
Length of database: 394
Length adjustment: 31
Effective length of query: 359
Effective length of database: 363
Effective search space:   130317
Effective search space used:   130317
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 (21.7 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