Alignments for a candidate for leuD in Caulobacter crescentus NA1000

GapMind for Amino acid biosynthesis

Alignments for a candidate for leuD in Caulobacter crescentus NA1000

Align 3-isopropylmalate dehydratase small subunit; Alpha-IPM isomerase; IPMI; Isopropylmalate isomerase; EC 4.2.1.33 (characterized)
to candidate CCNA_00195 CCNA_00195 3-isopropylmalate dehydratase small subunit

Query= SwissProt::Q1MA52
         (202 letters)



>FitnessBrowser__Caulo:CCNA_00195
          Length = 202

 Score =  242 bits (618), Expect = 3e-69
 Identities = 118/200 (59%), Positives = 145/200 (72%), Gaps = 1/200 (0%)

Query: 1   MDKFVKLTGVAAPLPVVNVDTDMIIPKDYLKTIKRTGLGTGLFAEARYNEDGSENPDFVL 60
           M  F +L G AAPL + N+DTD IIPK +LKT++R GL  GLF + R++ DG+E  DFVL
Sbjct: 1   MKAFTRLDGRAAPLELANIDTDQIIPKQFLKTVEREGLAKGLFYDFRFDADGNEISDFVL 60

Query: 61  NKPAYRDAKILVAGDNFGCGSSREHAPWALLDFGIRCVISTSFADIFYNNCFKNGILPIK 120
           NKP Y+ A +L+AGDNFGCGSSREHAPWAL+DFGI CVISTSFADIF NNCF NG+LP+ 
Sbjct: 61  NKPEYKSASVLIAGDNFGCGSSREHAPWALMDFGIMCVISTSFADIFNNNCFNNGLLPVV 120

Query: 121 VSQEDLDKLMDDASRGSNAILTVDLENLEITGPDGGLIKFDLDEFKRHCLLNGLDDIGLT 180
           VS EDL  LMD+A +G N +++VDLE   +  P G  I FD+D  ++  +L GLD IG T
Sbjct: 121 VSPEDLALLMDEA-KGGNHMVSVDLEAQTVISPSGKTIGFDIDPVRKEKMLKGLDAIGET 179

Query: 181 LEKGKAIDSFEKKNAASHPW 200
           +  G  ID FE K A S PW
Sbjct: 180 MMHGGDIDLFESKRAISQPW 199


Lambda     K      H
   0.319    0.140    0.419 

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: 167
Number of extensions: 4
Number of successful extensions: 2
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: 202
Length of database: 202
Length adjustment: 21
Effective length of query: 181
Effective length of database: 181
Effective search space:    32761
Effective search space used:    32761
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: 45 (21.9 bits)

Align candidate CCNA_00195 CCNA_00195 (3-isopropylmalate dehydratase small subunit)
to HMM TIGR00171 (leuD: 3-isopropylmalate dehydratase, small subunit (EC 4.2.1.33))

# 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/TIGR00171.hmm
# target sequence database:        /tmp/gapView.2775188.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00171  [M=188]
Accession:   TIGR00171
Description: leuD: 3-isopropylmalate dehydratase, small subunit
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
    2.9e-73  231.8   0.0    3.3e-73  231.6   0.0    1.0  1  FitnessBrowser__Caulo:CCNA_00195  


Domain annotation for each sequence (and alignments):
>> FitnessBrowser__Caulo:CCNA_00195  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  231.6   0.0   3.3e-73   3.3e-73       1     186 [.       1     184 [.       1     186 [. 0.97

  Alignments for each domain:
  == domain 1  score: 231.6 bits;  conditional E-value: 3.3e-73
                         TIGR00171   1 mkefkkltGlvvpldkanvdtdaiipkqflkkikrtGfgkhlfyewryldekGkepnpefvlnvpqyqgasillare 77 
                                       mk f +l+G ++pl+ an+dtd+iipkqflk+++r G+ k lfy++r+ d++G ++ ++fvln p+y+ as+l+a++
  FitnessBrowser__Caulo:CCNA_00195   1 MKAFTRLDGRAAPLELANIDTDQIIPKQFLKTVEREGLAKGLFYDFRF-DADG-NEISDFVLNKPEYKSASVLIAGD 75 
                                       899*********************************************.****.7789******************* PP

                         TIGR00171  78 nfGcGssrehapwalkdyGfkviiapsfadifynnsfkngllpirlseeeveellalvknkglkltvdleaqkvkds 154
                                       nfGcGssrehapwal d+G+  +i+ sfadif nn+f+ngllp+ +s e++  l+   k   + ++vdleaq+v + 
  FitnessBrowser__Caulo:CCNA_00195  76 NFGCGSSREHAPWALMDFGIMCVISTSFADIFNNNCFNNGLLPVVVSPEDLALLMDEAKGGNHMVSVDLEAQTVISP 152
                                       ****************************************************9999999999999************ PP

                         TIGR00171 155 egkvysfeidefrkhcllnGldeigltlqked 186
                                        gk++ f+id+ rk+ +l Gld ig t+++  
  FitnessBrowser__Caulo:CCNA_00195 153 SGKTIGFDIDPVRKEKMLKGLDAIGETMMHGG 184
                                       ***************************99865 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (188 nodes)
Target sequences:                          1  (202 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: 0.00u 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 13.19
//
[ok]

This GapMind analysis is from Jul 25 2024. The underlying query database was built on Jul 25 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 2024 update 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 original 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