Alignments for a candidate for serB in Caulobacter crescentus NA1000

GapMind for Amino acid biosynthesis

Alignments for a candidate for serB in Caulobacter crescentus NA1000

Align Phosphoserine phosphatase; PSP; PSPase; O-phosphoserine phosphohydrolase; EC 3.1.3.3 (characterized)
to candidate CCNA_02182 CCNA_02182 phosphoserine phosphatase

Query= SwissProt::Q12A06
         (236 letters)



>FitnessBrowser__Caulo:CCNA_02182
          Length = 292

 Score =  179 bits (453), Expect = 7e-50
 Identities = 100/207 (48%), Positives = 132/207 (63%), Gaps = 5/207 (2%)

Query: 26  LIAFDMDSTLINIECVDEIADAAGRKAEVAAITEAAMRGEISDYKESLRQRVALLKGVSV 85
           L+  DMDST+IN+EC+DE+AD AG KA+V+ ITE AMRGE++ ++ +LR+RV +LKG+ V
Sbjct: 79  LLIADMDSTIINVECLDELADFAGVKAQVSEITERAMRGELA-FEGALRERVGMLKGLGV 137

Query: 86  ASMDEVYRTRLRLNPGAARLVQACKDAGLKVLLVSGGFTFFTDRIRDELGIDYTRSNVLE 145
           +++   Y  R+RLNPGA  LV+     G +  LVSGGFTFFT R+ +  G    R+N L 
Sbjct: 138 SALQACYDERVRLNPGAETLVRTMAKHGARCALVSGGFTFFTSRVAEAAGFHLNRANTLI 197

Query: 146 TTDGLLTGRMVDQPWGDICDGEEKRKMLLETCGQLGISPRQAIAMGDGANDLPMMGEAGL 205
             DG LTG + D     I   E K   L E    LG++P  A+A+GDGANDL M+  AGL
Sbjct: 198 ELDGALTGAVGD----PILGKEAKLAALREETAALGLTPADALAVGDGANDLAMIEAAGL 253

Query: 206 SVAYHAKPRVREQAMVAINEGGLDRLL 232
            VAY AKP V  QA   ++   L  LL
Sbjct: 254 GVAYRAKPIVAAQADAKVDHTDLTTLL 280


Lambda     K      H
   0.319    0.136    0.385 

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: 197
Number of extensions: 9
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: 236
Length of database: 292
Length adjustment: 25
Effective length of query: 211
Effective length of database: 267
Effective search space:    56337
Effective search space used:    56337
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 (21.7 bits)
S2: 47 (22.7 bits)

Align candidate CCNA_02182 CCNA_02182 (phosphoserine phosphatase)
to HMM TIGR00338 (serB: phosphoserine phosphatase SerB (EC 3.1.3.3))

# hmmsearch :: search profile(s) against a sequence database
# HMMER 3.3.1 (Jul 2020); http://hmmer.org/
# Copyright (C) 2020 Howard Hughes Medical Institute.
# Freely distributed under the BSD open source license.
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# query HMM file:                  ../tmp/path.aa/TIGR00338.hmm
# target sequence database:        /tmp/gapView.13251.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00338  [M=219]
Accession:   TIGR00338
Description: serB: phosphoserine phosphatase SerB
Scores for complete sequences (score includes all domains):
   --- full sequence ---   --- best 1 domain ---    -#dom-
    E-value  score  bias    E-value  score  bias    exp  N  Sequence                             Description
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
    4.3e-66  208.7   0.1    5.7e-66  208.2   0.1    1.1  1  lcl|FitnessBrowser__Caulo:CCNA_02182  CCNA_02182 phosphoserine phospha


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Caulo:CCNA_02182  CCNA_02182 phosphoserine phosphatase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  208.2   0.1   5.7e-66   5.7e-66      10     217 ..      73     281 ..      66     282 .. 0.97

  Alignments for each domain:
  == domain 1  score: 208.2 bits;  conditional E-value: 5.7e-66
                             TIGR00338  10 llkkkklvvfDlDstlieeEvIdeiaklaGveeeVseiTerAmrgeldFkeslreRvkllkglpvellkkve. 81 
                                            ++ k+l++ D+Dst+i+ E++de+a  aGv+ +VseiTerAmrgel F+ +lreRv +lkgl v+ l+  + 
  lcl|FitnessBrowser__Caulo:CCNA_02182  73 ANRRKGLLIADMDSTIINVECLDELADFAGVKAQVSEITERAMRGELAFEGALRERVGMLKGLGVSALQACYd 145
                                           568899************************************************************8887752 PP

                             TIGR00338  82 eklelteGveelvkkLkekgykvaviSGgFdlvaeklkekLgldavfaNrLevedgkltGkvegeivdesaka 154
                                           e+++l +G+e lv+++ ++g + a++SGgF++++ +++e  g     aN+L+  dg+ltG v  +i+ ++ak 
  lcl|FitnessBrowser__Caulo:CCNA_02182 146 ERVRLNPGAETLVRTMAKHGARCALVSGGFTFFTSRVAEAAGFHLNRANTLIELDGALTGAVGDPILGKEAKL 218
                                           789********************************************************************** PP

                             TIGR00338 155 ktllkllekegislektvavGDGanDlsmikaAglgiafnakpvlkekadiviekkdltdile 217
                                             l + +   g+ +++ +avGDGanDl+mi+aAglg+a+ akp++  +ad++++++dlt +l+
  lcl|FitnessBrowser__Caulo:CCNA_02182 219 AALREETAALGLTPADALAVGDGANDLAMIEAAGLGVAYRAKPIVAAQADAKVDHTDLTTLLY 281
                                           ***********************************************************9986 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (219 nodes)
Target sequences:                          1  (292 residues searched)
Passed MSV filter:                         1  (1); expected 0.0 (0.02)
Passed bias filter:                        1  (1); expected 0.0 (0.02)
Passed Vit filter:                         1  (1); expected 0.0 (0.001)
Passed Fwd filter:                         1  (1); expected 0.0 (1e-05)
Initial search space (Z):                  1  [actual number of targets]
Domain search space  (domZ):               1  [number of targets reported over threshold]
# CPU time: 0.01u 0.00s 00:00:00.01 Elapsed: 00:00:00.00
# Mc/sec: 9.56
//
[ok]

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Apr 09 2024.

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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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer
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

GapMind for Amino acid biosynthesis