Align phenylacetate-CoA ligase (EC 6.2.1.30) (characterized)
to candidate 3610443 Dshi_3824 phenylacetate-CoA ligase (RefSeq)
Query= BRENDA::B4E7B5 (432 letters) >lcl|FitnessBrowser__Dino:3610443 Dshi_3824 phenylacetate-CoA ligase (RefSeq) Length = 436 Score = 573 bits (1476), Expect = e-168 Identities = 280/425 (65%), Positives = 336/425 (79%), Gaps = 1/425 (0%) Query: 7 LEPIETASRDELTALQLERLKWSLRHAYDHSPVYRRKFDEAGVHPDDLKTLADLSRFPFT 66 L+PIE ASRDE+ ALQL+R+KWSLRHAYD+ P+YR +FD AGVHPDDL+ L DL++FPFT Sbjct: 11 LDPIEIASRDEIAALQLDRMKWSLRHAYDNVPMYRARFDAAGVHPDDLRDLKDLAKFPFT 70 Query: 67 TKGDLRDSYPFGMFAVPQDRISRIHASSGTTGKPTVVGYTAADIDTWANLVARSIRAAGA 126 K DLRD YPFGM AVP+DR+ R+HASSGTTGKPTVV YT DI+ WA+ +ARS+RA+G Sbjct: 71 HKSDLRDHYPFGMSAVPRDRLVRVHASSGTTGKPTVVVYTRHDIEVWADTLARSLRASGL 130 Query: 127 RRGDKVHVSYGYGLFTGGLGAHYGAERAGLTVIPFGGGQTEKQVQLIQDFRPDIIMVTPS 186 R GD +H +YGYGLFTGGLGAHYG E+ G TVIP GGGQTEKQV LI DFRP IMVTPS Sbjct: 131 RAGDMIHNAYGYGLFTGGLGAHYGIEKLGATVIPMGGGQTEKQVSLIHDFRPTAIMVTPS 190 Query: 187 YMLSIADEIERQGLDPVQSSLRIGIFGAEPWTNDMRVAIEQRMGIDAVDIYGLSEVMGPG 246 YML+I + + GLDP QSSL++G+FGAEPWTN MR +E+ + AVDIYGLSEVMGPG Sbjct: 191 YMLNILEGFHKAGLDPRQSSLQVGVFGAEPWTNAMRQEVEEAFDMHAVDIYGLSEVMGPG 250 Query: 247 VASECVETKDGPTIWEDHFYPEIIDPETGEVLPDGELGELVFTSLTKEALPIIRYRTRDL 306 VA+ECVETKDG +WEDH+YPEIIDP+TGEVL DG GELVFT+LTKE +P+IRYRTRDL Sbjct: 251 VANECVETKDGLHVWEDHYYPEIIDPQTGEVLKDGAEGELVFTTLTKEGMPMIRYRTRDL 310 Query: 307 TRLLPGTARTMRRMEKITGRSDDMMIVRGVNVFPTQIEEQLLKQRALAPHYQIVLTKEGP 366 TRLLPGTAR+MRR+EKITGRSDDMMI+RGVNVFPTQIEEQ++ L P++QI L G Sbjct: 311 TRLLPGTARSMRRIEKITGRSDDMMILRGVNVFPTQIEEQVMATGGLGPYFQIELYTSGR 370 Query: 367 LDVLTLNVEPCPETAPDTAAIQVAKQALAYDIKSLIGVTAVINVLPVNGIERSVGKARRV 426 LD + + VE P A D + A + L ++ ++GV+ + V + RS GKA RV Sbjct: 371 LDAMRVFVEATP-AAADELSRTAAARVLTKHVRDMVGVSIEVVVGDPGSVARSQGKAVRV 429 Query: 427 VDKRK 431 +D RK Sbjct: 430 IDNRK 434 Lambda K H 0.319 0.137 0.404 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: 630 Number of extensions: 10 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: 432 Length of database: 436 Length adjustment: 32 Effective length of query: 400 Effective length of database: 404 Effective search space: 161600 Effective search space used: 161600 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 3610443 Dshi_3824 (phenylacetate-CoA ligase (RefSeq))
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.2350.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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 2.7e-210 684.2 0.1 3.1e-210 684.0 0.1 1.0 1 lcl|FitnessBrowser__Dino:3610443 Dshi_3824 phenylacetate-CoA liga Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__Dino:3610443 Dshi_3824 phenylacetate-CoA ligase (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 684.0 0.1 3.1e-210 3.1e-210 1 422 [] 15 433 .. 15 433 .. 0.99 Alignments for each domain: == domain 1 score: 684.0 bits; conditional E-value: 3.1e-210 TIGR02155 1 eklsldelralqlerlkvsvkrayenvpayrkafdaagvkpddlkelsdlakfpltaksdlrdnypfdllavprekv 77 e +s+de+ alql+r+k+s+++ay+nvp+yr++fdaagv+pddl++l+dlakfp+t+ksdlrd ypf++ avpr+++ lcl|FitnessBrowser__Dino:3610443 15 EIASRDEIAALQLDRMKWSLRHAYDNVPMYRARFDAAGVHPDDLRDLKDLAKFPFTHKSDLRDHYPFGMSAVPRDRL 91 679************************************************************************** PP TIGR02155 78 vrvhassGttGkptvvaytqkdldtwsevvarslraaGGrkgdllhnayGyGlftGGlGvhyGaeklGatvvpisGG 154 vrvhassGttGkptvv yt++d+++w++ +arslra+G r+gd++hnayGyGlftGGlG+hyG eklGatv+p+ GG lcl|FitnessBrowser__Dino:3610443 92 VRVHASSGTTGKPTVVVYTRHDIEVWADTLARSLRASGLRAGDMIHNAYGYGLFTGGLGAHYGIEKLGATVIPMGGG 168 ***************************************************************************** PP TIGR02155 155 qtekqvqliqdfkpdiiavtpsyilalleelkrlgidpedislkvailGaepwteamrkelearlgikaldiyGlse 231 qtekqv li+df+p i+vtpsy+l++le +++ g+dp++ sl+v+++Gaepwt+amr+e+e++++++a+diyGlse lcl|FitnessBrowser__Dino:3610443 169 QTEKQVSLIHDFRPTAIMVTPSYMLNILEGFHKAGLDPRQSSLQVGVFGAEPWTNAMRQEVEEAFDMHAVDIYGLSE 245 ***************************************************************************** PP TIGR02155 232 viGpGvanecvetkdGlviwedhfypeiidpetgevlpdGeeGelvfttltkealpviryrtrdltrllpgtartmr 308 v+GpGvanecvetkdGl++wedh+ypeiidp+tgevl dG eGelvfttltke++p+iryrtrdltrllpgtar+mr lcl|FitnessBrowser__Dino:3610443 246 VMGPGVANECVETKDGLHVWEDHYYPEIIDPQTGEVLKDGAEGELVFTTLTKEGMPMIRYRTRDLTRLLPGTARSMR 322 ***************************************************************************** PP TIGR02155 309 rmdkikGrsddllilrGvnvfptqleevllkldklsphyqleltreGaldeltlkvelkdesaalrlleqksllakk 385 r++ki+Grsdd++ilrGvnvfptq+ee +++++ l+p +q+el +G+ld + + ve+ + +a+ ++++ a+ lcl|FitnessBrowser__Dino:3610443 323 RIEKITGRSDDMMILRGVNVFPTQIEEQVMATGGLGPYFQIELYTSGRLDAMRVFVEATPAAADEL---SRTAAARV 396 ***********************************************************9887776...55566899 PP TIGR02155 386 iekkikaevgvsvdvelvepgslerseGkakrvvdkr 422 + k+++++vgvs++v + +pgs+ rs+Gka rv+d+r lcl|FitnessBrowser__Dino:3610443 397 LTKHVRDMVGVSIEVVVGDPGSVARSQGKAVRVIDNR 433 9**********************************98 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (422 nodes) Target sequences: 1 (436 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 0.02s 00:00:00.03 Elapsed: 00:00:00.02 # Mc/sec: 6.60 // [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 preprint 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