Alignments for a candidate for serB in Pseudomonas fluorescens FW300-N2E3

GapMind for Amino acid biosynthesis

Alignments for a candidate for serB in Pseudomonas fluorescens FW300-N2E3

Align Phosphoserine phosphatase; PSP; PSPase; EC 3.1.3.3 (characterized)
to candidate AO353_00930 AO353_00930 phosphoserine phosphatase

Query= SwissProt::Q883R9
         (237 letters)



>FitnessBrowser__pseudo3_N2E3:AO353_00930
          Length = 205

 Score =  375 bits (962), Expect = e-109
 Identities = 184/205 (89%), Positives = 198/205 (96%)

Query: 33  VEIACLDLEGVLVPEIWIAFAEKTGIESLRATTRDIPDYDVLMKQRLRILDEHGLKLADI 92
           VEIACLDLEGVLVPEIWIAFAEKTGIESL+ATTRDIPDYDVLM+QRLRILDEH LKL+DI
Sbjct: 1   VEIACLDLEGVLVPEIWIAFAEKTGIESLKATTRDIPDYDVLMQQRLRILDEHDLKLSDI 60

Query: 93  QAVISTLKPLEGAVEFVDWLRERFQVVILSDTFYEFSQPLMRQLGFPTLLCHRLITDETD 152
           Q VI+TLKPL+GA+EFV+WLRERFQVVILSDTFYEFSQPLMRQLGFPTLLCHRLITD+T 
Sbjct: 61  QEVIATLKPLDGAIEFVNWLRERFQVVILSDTFYEFSQPLMRQLGFPTLLCHRLITDDTG 120

Query: 153 RVVSYQLRQKDPKRQSVLAFKSLYYRIIAAGDSYNDTTMLGEADAGILFHAPDNVIREFP 212
           RV  YQLRQKDPKRQSVL+FKSLYYR+IAAGDSYNDT+MLGEADAGILFHAPDNVIREFP
Sbjct: 121 RVTGYQLRQKDPKRQSVLSFKSLYYRVIAAGDSYNDTSMLGEADAGILFHAPDNVIREFP 180

Query: 213 QFPAVHTFDELKKEFIKASNRELVL 237
           QFPAVH+F ELK+EF+KASNREL L
Sbjct: 181 QFPAVHSFAELKQEFLKASNRELSL 205


Lambda     K      H
   0.324    0.139    0.410 

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: 253
Number of extensions: 3
Number of successful extensions: 1
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: 237
Length of database: 205
Length adjustment: 22
Effective length of query: 215
Effective length of database: 183
Effective search space:    39345
Effective search space used:    39345
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (22.0 bits)
S2: 45 (21.9 bits)

Align candidate AO353_00930 AO353_00930 (phosphoserine phosphatase)
to HMM TIGR02137 (thrH: phosphoserine phosphatase/homoserine phosphotransferase bifunctional protein (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/TIGR02137.hmm
# target sequence database:        /tmp/gapView.25158.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02137  [M=203]
Accession:   TIGR02137
Description: HSK-PSP: phosphoserine phosphatase/homoserine phosphotransferase bifunctional protein
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                     -----------
   1.3e-118  379.8   0.0   1.5e-118  379.6   0.0    1.0  1  lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930  AO353_00930 phosphoserine phosph


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930  AO353_00930 phosphoserine phosphatase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  379.6   0.0  1.5e-118  1.5e-118       2     203 .]       2     203 ..       1     203 [. 0.99

  Alignments for each domain:
  == domain 1  score: 379.6 bits;  conditional E-value: 1.5e-118
                                     TIGR02137   2 evvtldlegvlvpeiwiavaektgiddlklttrdipdydvlmkqrlkileeenlklsdiqeviat 66 
                                                   e+++ldlegvlvpeiwia+aektgi++lk+ttrdipdydvlm+qrl+il+e++lklsdiqeviat
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930   2 EIACLDLEGVLVPEIWIAFAEKTGIESLKATTRDIPDYDVLMQQRLRILDEHDLKLSDIQEVIAT 66 
                                                   79*************************************************************** PP

                                     TIGR02137  67 lkllegavefvdtlreeaqvvilsdtfqefaqplmkqlgfptllchklvvedsdrvkgyqlrqkd 131
                                                   lk+l+ga efv++lre++qvvilsdtf+ef+qplm+qlgfptllch+l  +d+ rv gyqlrqkd
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930  67 LKPLDGAIEFVNWLRERFQVVILSDTFYEFSQPLMRQLGFPTLLCHRLITDDTGRVTGYQLRQKD 131
                                                   ***************************************************************** PP

                                     TIGR02137 132 qkrkvvkalkelyykviaagdsyndttmlkeadkgilfhapesvvaefpqleavktyeelkdkfl 196
                                                   +kr++v ++k+lyy+viaagdsyndt+ml ead+gilfhap++v++efpq++av++++elk++fl
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930 132 PKRQSVLSFKSLYYRVIAAGDSYNDTSMLGEADAGILFHAPDNVIREFPQFPAVHSFAELKQEFL 196
                                                   ***************************************************************** PP

                                     TIGR02137 197 kasdrsl 203
                                                   kas+r l
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_00930 197 KASNREL 203
                                                   ***9975 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (203 nodes)
Target sequences:                          1  (205 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: 5.23
//
[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