Alignments for a candidate for serC in Herbaspirillum autotrophicum IAM 14942

GapMind for Amino acid biosynthesis

Alignments for a candidate for serC in Herbaspirillum autotrophicum IAM 14942

Align phosphoserine transaminase (EC 2.6.1.52) (characterized)
to candidate WP_050463940.1 AKL27_RS16295 3-phosphoserine/phosphohydroxythreonine transaminase

Query= BRENDA::P23721
         (362 letters)



>NCBI__GCF_001189915.1:WP_050463940.1
          Length = 365

 Score =  392 bits (1008), Expect = e-114
 Identities = 199/365 (54%), Positives = 255/365 (69%), Gaps = 7/365 (1%)

Query: 4   IFNFSSGPAMLPAEVLKQAQQELRDWNGLGTSVMEVSHRGKEFIQVAEEAEKDFRDLLNV 63
           ++NFS+GPA+LP EVL+QA  E+ DW+G G SVME+SHRGKE++ + E A +D R+L +V
Sbjct: 2   VYNFSAGPAVLPKEVLQQAADEMLDWHGSGMSVMEMSHRGKEYMSIIETALRDMRELFSV 61

Query: 64  PSNYKVLFCHGGGRGQFAAVPLNIL---GDKTTADYVDAGYWAASAIKEAKKYCTPNVFD 120
           P NYK+LF  GG   + A +P+N+    G    ADY++ G W+  +IKEA++YC  NV  
Sbjct: 62  PDNYKILFMQGGAIAENAIIPMNLAALRGQVGVADYINTGSWSTKSIKEARRYCEVNVA- 120

Query: 121 AKVTVDGLRAVKPMREWQLSDNAAYMHYCPNETIDGIAIDETPDFGADV---VVAADFSS 177
           A         +    +W+LS NAAY+H C NETIDG+    TP+  AD     + AD SS
Sbjct: 121 ASSEAGKFARIPDRADWRLSRNAAYVHVCTNETIDGVEYQFTPEVAADTDNAPLVADMSS 180

Query: 178 TILSRPIDVSRYGVIYAGAQKNIGPAGLTIVIVREDLLGKANIACPSILDYSILNDNGSM 237
            ILSR +DVS+YGVIY GAQKNIGPAGLTIVIVR+DLLG A   CPS  D+  + DN SM
Sbjct: 181 HILSRAVDVSKYGVIYGGAQKNIGPAGLTIVIVRDDLLGHALPICPSAFDWKTVADNDSM 240

Query: 238 FNTPPTFAWYLSGLVFKWLKANGGVAEMDKINQQKAELLYGVIDNSDFYRNDVAKANRSR 297
           +NTPPT+A Y++GLVF+WLK  GGV EM++ N  KA LLY  +D++ FYR  +A   RSR
Sbjct: 241 YNTPPTYAIYIAGLVFQWLKRQGGVPEMERRNIAKAALLYDYLDSTGFYRTRIASECRSR 300

Query: 298 MNVPFQLADSALDKLFLEESFAAGLHALKGHRVVGGMRASIYNAMPLEGVKALTDFMVEF 357
           MNVPF L D AL+  FL  +   GL  LKGH+ VGGMRASIYNAMPLEGV+AL  ++ EF
Sbjct: 301 MNVPFYLHDEALNDAFLAGAKEHGLLQLKGHKSVGGMRASIYNAMPLEGVQALVHYLQEF 360

Query: 358 ERRHG 362
           ER++G
Sbjct: 361 ERQNG 365


Lambda     K      H
   0.319    0.136    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: 413
Number of extensions: 16
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: 362
Length of database: 365
Length adjustment: 29
Effective length of query: 333
Effective length of database: 336
Effective search space:   111888
Effective search space used:   111888
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)

Align candidate WP_050463940.1 AKL27_RS16295 (3-phosphoserine/phosphohydroxythreonine transaminase)
to HMM TIGR01364 (serC: phosphoserine transaminase (EC 2.6.1.52))

# 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/TIGR01364.hmm
# target sequence database:        /tmp/gapView.22497.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01364  [M=358]
Accession:   TIGR01364
Description: serC_1: phosphoserine transaminase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
   7.6e-162  524.1   0.0   8.6e-162  524.0   0.0    1.0  1  lcl|NCBI__GCF_001189915.1:WP_050463940.1  AKL27_RS16295 3-phosphoserine/ph


Domain annotation for each sequence (and alignments):
>> lcl|NCBI__GCF_001189915.1:WP_050463940.1  AKL27_RS16295 3-phosphoserine/phosphohydroxythreonine transaminase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  524.0   0.0  8.6e-162  8.6e-162       1     357 [.       2     363 ..       2     364 .. 0.98

  Alignments for each domain:
  == domain 1  score: 524.0 bits;  conditional E-value: 8.6e-162
                                 TIGR01364   1 ivnFsaGPaalpeevlekaqkelldfnglglsvmeisHRskefekvveeaesdlreLlnipdnyevlfl 69 
                                               ++nFsaGPa+lp+evl++a++e+ld++g+g+svme+sHR ke+++++e+a +d+reL+++pdny++lf+
  lcl|NCBI__GCF_001189915.1:WP_050463940.1   2 VYNFSAGPAVLPKEVLQQAADEMLDWHGSGMSVMEMSHRGKEYMSIIETALRDMRELFSVPDNYKILFM 70 
                                               59******************************************************************* PP

                                 TIGR01364  70 qGGattqfaavplnllk...ekkvadyivtGawskkalkeakkltkevkvvaseeekkyskipdeeele 135
                                               qGGa  + a +p+nl++   +  vadyi+tG+ws+k++kea+++++ v+v+as+e +k+ +ipd+ +++
  lcl|NCBI__GCF_001189915.1:WP_050463940.1  71 QGGAIAENAIIPMNLAAlrgQVGVADYINTGSWSTKSIKEARRYCE-VNVAASSEAGKFARIPDRADWR 138
                                               ****************97555559********************99.********************** PP

                                 TIGR01364 136 lkedaayvylcanetieGvefkelpevkk....aplvaDlssdilsrkidvskygliyaGaqKniGpaG 200
                                               l+ +aayv++c+neti+Gve++ +pev+     aplvaD+ss+ilsr +dvskyg+iy+GaqKniGpaG
  lcl|NCBI__GCF_001189915.1:WP_050463940.1 139 LSRNAAYVHVCTNETIDGVEYQFTPEVAAdtdnAPLVADMSSHILSRAVDVSKYGVIYGGAQKNIGPAG 207
                                               ************************9987666779*********************************** PP

                                 TIGR01364 201 vtvvivrkdllerakkelpsvldYkilaendslyntpptfaiyvlglvlkwlkekGGvkklekknqeKa 269
                                               +t+vivr+dll++a  ++ps +d+k++a+nds+yntppt+aiy++glv++wlk++GGv ++e++n +Ka
  lcl|NCBI__GCF_001189915.1:WP_050463940.1 208 LTIVIVRDDLLGHALPICPSAFDWKTVADNDSMYNTPPTYAIYIAGLVFQWLKRQGGVPEMERRNIAKA 276
                                               ********************************************************************* PP

                                 TIGR01364 270 kllYeaidesegfyknkvekkaRslmnvvFtlkkeelekeFlkeaeekglvslkGhrsvGGiRasiYna 338
                                               +llY+++d++ gfy+++++ ++Rs+mnv+F l++e l++ Fl+ a+e+gl++lkGh+svGG+RasiYna
  lcl|NCBI__GCF_001189915.1:WP_050463940.1 277 ALLYDYLDST-GFYRTRIASECRSRMNVPFYLHDEALNDAFLAGAKEHGLLQLKGHKSVGGMRASIYNA 344
                                               ********65.8********************************************************* PP

                                 TIGR01364 339 lpleevqaLvdfmkeFekk 357
                                               +ple+vqaLv++++eFe++
  lcl|NCBI__GCF_001189915.1:WP_050463940.1 345 MPLEGVQALVHYLQEFERQ 363
                                               ****************987 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (358 nodes)
Target sequences:                          1  (365 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 0.01s 00:00:00.02 Elapsed: 00:00:00.01
# Mc/sec: 8.39
//
[ok]

This GapMind analysis is from Apr 10 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