Align Phenylacetate-coenzyme A ligase; Phenylacetyl-CoA ligase; PA-CoA ligase; EC 6.2.1.30 (characterized)
to candidate Dsui_1443 Dsui_1443 phenylacetate-CoA ligase
Query= SwissProt::Q9L9C1 (440 letters) >lcl|FitnessBrowser__PS:Dsui_1443 Dsui_1443 phenylacetate-CoA ligase Length = 438 Score = 594 bits (1531), Expect = e-174 Identities = 285/429 (66%), Positives = 350/429 (81%), Gaps = 3/429 (0%) Query: 12 EPIEKASQDELRALQLERLKWSVRHAYENVPHYRKAFDAKGVHPDDLKSLADLAKFPFTA 71 E I +AS+DE+ ALQL+RL+ S+RHAYE VPH R FDA GVHPDDLK+LADLA+FPFT Sbjct: 12 ERIARASRDEIAALQLKRLQQSLRHAYEKVPHTRAKFDAHGVHPDDLKTLADLARFPFTG 71 Query: 72 KGDLRDNYPFGMFAVPREKVARVHASSGTTGKPTVVGYTLKDIDTWATVVARSIRASGGR 131 K DLRDNYP+G+FAVP + RVHASSGTTGKPTVVGYT DID WA ++AR++RA+G Sbjct: 72 KQDLRDNYPYGLFAVPMRDIVRVHASSGTTGKPTVVGYTAGDIDRWADIMARALRAAGAG 131 Query: 132 AGDMVHIAYGYGLFTGGLGAHYGAEKLGCTVVPMSGGQTEKQIQLIQDFKPDIIMVTPSY 191 D+VH+A+GYGLFTGGLG HYG E+LG T VP+SGGQTE+Q+QLI DFKP +++VTPSY Sbjct: 132 PEDIVHVAHGYGLFTGGLGVHYGVERLGATAVPVSGGQTERQVQLIADFKPTVLVVTPSY 191 Query: 192 MLTVLDEMERMGIDPHQTSLKVGIFGAEPWTQAMRAAMEARAGIDAVDIYGLSEVMGPGV 251 L + DE E G D +SL++G+FGAEPW ++MRA +E R GI A+D+YGLSEVMGPGV Sbjct: 192 ALNLADECEHQGFDLAGSSLRIGLFGAEPWGESMRAEIERRFGIAAMDLYGLSEVMGPGV 251 Query: 252 ANECIEAKDGPVIWEDHFYPEIIDPHTGEVLPDGSEGELVFTTLTKEAMPVIRYRTRDLT 311 A+ECIE++DGP IWEDHFYPEIIDP+TGEVLPDG+ GELVFT+LTKE MPV+RYRTRDLT Sbjct: 252 ASECIESRDGPTIWEDHFYPEIIDPNTGEVLPDGAHGELVFTSLTKEGMPVVRYRTRDLT 311 Query: 312 RLLPPTARSMRRMAKITGRSDDMLIIRGVNLFPTQVEELICKNPKLAPQYLLEVDKDGHM 371 LLPPTARS RR+ KITGRSDDMLIIRGVN+FP+Q+EE + K +L+P Y LEV ++GH+ Sbjct: 312 TLLPPTARSFRRIGKITGRSDDMLIIRGVNVFPSQIEEFVLKQAELSPHYQLEVWREGHL 371 Query: 372 DTLTVKVEINPE-ANVGRHPEQKEALAKELQHDIKTFIGVSAKVHVCEPFAIERVTIGKA 430 D L ++VE+ PE AN G H E A+ELQH IK++IG+S +V V +IER GKA Sbjct: 372 DKLDIRVELKPEFANAGTH--VSEQAARELQHHIKSYIGISTRVRVEAVGSIERAVGGKA 429 Query: 431 KRVVDRRPK 439 +RVVD+RP+ Sbjct: 430 RRVVDKRPQ 438 Lambda K H 0.318 0.137 0.406 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: 709 Number of extensions: 21 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: 440 Length of database: 438 Length adjustment: 32 Effective length of query: 408 Effective length of database: 406 Effective search space: 165648 Effective search space used: 165648 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: 51 (24.3 bits)
Align candidate Dsui_1443 Dsui_1443 (phenylacetate-CoA ligase)
to HMM TIGR02155 (paaF: phenylacetate-CoA ligase (EC 6.2.1.30))
# 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.carbon/TIGR02155.hmm # target sequence database: /tmp/gapView.29202.genome.faa # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Query: TIGR02155 [M=422] Accession: TIGR02155 Description: PA_CoA_ligase: phenylacetate-CoA ligase 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-211 688.5 0.0 1.6e-211 688.3 0.0 1.0 1 lcl|FitnessBrowser__PS:Dsui_1443 Dsui_1443 phenylacetate-CoA liga Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__PS:Dsui_1443 Dsui_1443 phenylacetate-CoA ligase # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 688.3 0.0 1.6e-211 1.6e-211 2 422 .] 16 436 .. 15 436 .. 0.99 Alignments for each domain: == domain 1 score: 688.3 bits; conditional E-value: 1.6e-211 TIGR02155 2 klsldelralqlerlkvsvkrayenvpayrkafdaagvkpddlkelsdlakfpltaksdlrdnypfdllavprekvv 78 ++s+de+ alql+rl+ s+++aye+vp+ r++fda gv+pddlk+l+dla+fp+t k+dlrdnyp++l+avp+ ++v lcl|FitnessBrowser__PS:Dsui_1443 16 RASRDEIAALQLKRLQQSLRHAYEKVPHTRAKFDAHGVHPDDLKTLADLARFPFTGKQDLRDNYPYGLFAVPMRDIV 92 689************************************************************************** PP TIGR02155 79 rvhassGttGkptvvaytqkdldtwsevvarslraaGGrkgdllhnayGyGlftGGlGvhyGaeklGatvvpisGGq 155 rvhassGttGkptvv+yt+ d+d w++++ar+lraaG ++d++h+a+GyGlftGGlGvhyG e+lGat vp+sGGq lcl|FitnessBrowser__PS:Dsui_1443 93 RVHASSGTTGKPTVVGYTAGDIDRWADIMARALRAAGAGPEDIVHVAHGYGLFTGGLGVHYGVERLGATAVPVSGGQ 169 ***************************************************************************** PP TIGR02155 156 tekqvqliqdfkpdiiavtpsyilalleelkrlgidpedislkvailGaepwteamrkelearlgikaldiyGlsev 232 te+qvqli dfkp +++vtpsy+l+l++e +++g d + sl+++++Gaepw e mr+e+e+r+gi a+d+yGlsev lcl|FitnessBrowser__PS:Dsui_1443 170 TERQVQLIADFKPTVLVVTPSYALNLADECEHQGFDLAGSSLRIGLFGAEPWGESMRAEIERRFGIAAMDLYGLSEV 246 ***************************************************************************** PP TIGR02155 233 iGpGvanecvetkdGlviwedhfypeiidpetgevlpdGeeGelvfttltkealpviryrtrdltrllpgtartmrr 309 +GpGva ec+e++dG++iwedhfypeiidp+tgevlpdG +Gelvft+ltke++pv+ryrtrdlt llp+tar+ rr lcl|FitnessBrowser__PS:Dsui_1443 247 MGPGVASECIESRDGPTIWEDHFYPEIIDPNTGEVLPDGAHGELVFTSLTKEGMPVVRYRTRDLTTLLPPTARSFRR 323 ***************************************************************************** PP TIGR02155 310 mdkikGrsddllilrGvnvfptqleevllkldklsphyqleltreGaldeltlkvelkdesaalrlleqksllakki 386 + ki+Grsdd+li+rGvnvfp+q+ee +lk+ +lsphyqle+ reG+ld+l ++velk+e a++ +++++ + a+++ lcl|FitnessBrowser__PS:Dsui_1443 324 IGKITGRSDDMLIIRGVNVFPSQIEEFVLKQAELSPHYQLEVWREGHLDKLDIRVELKPEFANAGTHVSE-QAAREL 399 *************************************************************999988876.789*** PP TIGR02155 387 ekkikaevgvsvdvelvepgsler.seGkakrvvdkr 422 +++ik+ +g+s++v++ + gs+er Gka+rvvdkr lcl|FitnessBrowser__PS:Dsui_1443 400 QHHIKSYIGISTRVRVEAVGSIERaVGGKARRVVDKR 436 ************************8899********8 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (422 nodes) Target sequences: 1 (438 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: 0.02u 0.01s 00:00:00.03 Elapsed: 00:00:00.02 # Mc/sec: 7.71 // [ok]
This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.
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:
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.
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