Align thymidine phosphorylase (EC 2.4.2.4) (characterized)
to candidate 5210371 Shew_2814 thymidine phosphorylase (RefSeq)
Query= BRENDA::P07650 (440 letters) >FitnessBrowser__PV4:5210371 Length = 443 Score = 611 bits (1576), Expect = e-179 Identities = 298/440 (67%), Positives = 358/440 (81%) Query: 1 MFLAQEIIRKKRDGHALSDEEIRFFINGIRDNTISEGQIAALAMTIFFHDMTMPERVSLT 60 MFLAQEIIRKKR+G LS +EI+FF+ GI +NT+SEGQIAAL M ++F DM M ER++LT Sbjct: 1 MFLAQEIIRKKRNGEVLSTQEIQFFVQGITNNTVSEGQIAALGMAVYFKDMNMDERIALT 60 Query: 61 MAMRDSGTVLDWKSLHLNGPIVDKHSTGGVGDVTSLMLGPMVAACGGYIPMISGRGLGHT 120 AMRDSGTVL+WK+L L+GPI+DKHSTGGVGDV SLMLGPM AACGGY+PMISGRGLGHT Sbjct: 61 TAMRDSGTVLNWKNLGLDGPIIDKHSTGGVGDVISLMLGPMAAACGGYVPMISGRGLGHT 120 Query: 121 GGTLDKLESIPGFDIFPDDNRFREIIKDVGVAIIGQTSSLAPADKRFYATRDITATVDSI 180 GGTLDK ++IPG+ PD + FR+++K+ GVAIIGQT L PADKRFY+ RD TATV+SI Sbjct: 121 GGTLDKFDAIPGYQTEPDSDLFRKVVKEAGVAIIGQTGDLVPADKRFYSIRDNTATVESI 180 Query: 181 PLITASILAKKLAEGLDALVMDVKVGSGAFMPTYELSEALAEAIVGVANGAGVRTTALLT 240 LITASIL+KKLA GLDAL MDVKVGSGAFMPTYE SE LA +I VANGAG +TTALLT Sbjct: 181 SLITASILSKKLAAGLDALAMDVKVGSGAFMPTYEASEELARSITAVANGAGTKTTALLT 240 Query: 241 DMNQVLASSAGNAVEVREAVQFLTGEYRNPRLFDVTMALCVEMLISGKLAKDDAEARAKL 300 DMNQVLAS AGNAVEV+EAV FLTG YRNPRL++VTM LC EML G LA +A+AR KL Sbjct: 241 DMNQVLASCAGNAVEVKEAVDFLTGAYRNPRLYEVTMGLCAEMLQLGGLAASEADAREKL 300 Query: 301 QAVLDNGKAAEVFGRMVAAQKGPTDFVENYAKYLPTAMLTKAVYADTEGFVSEMDTRALG 360 VLDNGKAA++FGRM+A GP DF+ENYAKYLP + + + VYAD GF + MDTR LG Sbjct: 301 NRVLDNGKAADIFGRMIAGLGGPADFIENYAKYLPQSQIIRPVYADRSGFAASMDTRELG 360 Query: 361 MAVVAMGGGRRQASDTIDYSVGFTDMARLGDQVDGQRPLAVIHAKDENNWQEAAKAVKAA 420 +AVV +GGGRR+ D +DYSVG T + LGD++ +P+A++HA+ E+ ++EAA AVK A Sbjct: 361 LAVVTLGGGRRKPGDALDYSVGLTQVCALGDEITSDKPIAMVHAQSESAFEEAAAAVKKA 420 Query: 421 IKLADKAPESTPTVYRRISE 440 I + D+APE TP +YR I + Sbjct: 421 IHIGDEAPEKTPEIYRYIRQ 440 Lambda K H 0.318 0.134 0.377 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: 553 Number of extensions: 11 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: 440 Length of database: 443 Length adjustment: 32 Effective length of query: 408 Effective length of database: 411 Effective search space: 167688 Effective search space used: 167688 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 5210371 Shew_2814 (thymidine phosphorylase (RefSeq))
to HMM TIGR02643 (deoA: thymidine phosphorylase (EC 2.4.2.4))
# 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/TIGR02643.hmm # target sequence database: /tmp/gapView.1301.genome.faa # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Query: TIGR02643 [M=437] Accession: TIGR02643 Description: T_phosphoryl: thymidine phosphorylase 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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 4.5e-226 736.7 4.9 5.1e-226 736.5 4.9 1.0 1 lcl|FitnessBrowser__PV4:5210371 Shew_2814 thymidine phosphorylas Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__PV4:5210371 Shew_2814 thymidine phosphorylase (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 736.5 4.9 5.1e-226 5.1e-226 1 437 [] 2 438 .. 2 438 .. 1.00 Alignments for each domain: == domain 1 score: 736.5 bits; conditional E-value: 5.1e-226 TIGR02643 1 llpqeiirkkrdglslsdeeiaafvegvtddsvsegqiaalamavyfngleldekvaltlamrdsGdvldwkdldlng 78 +l+qeiirkkr+g+ ls++ei+ fv+g+t+++vsegqiaal mavyf+++++de++alt amrdsG+vl+wk+l l+g lcl|FitnessBrowser__PV4:5210371 2 FLAQEIIRKKRNGEVLSTQEIQFFVQGITNNTVSEGQIAALGMAVYFKDMNMDERIALTTAMRDSGTVLNWKNLGLDG 79 79**************************************************************************** PP TIGR02643 79 PvvdkhstGGvGdvvslmlaPivaacGgyvPmisGrGlGhtGGtldkleaiPGydvaPdeelfrkvvkdvGvaiiGqt 156 P++dkhstGGvGdv+slml+P+ aacGgyvPmisGrGlGhtGGtldk++aiPGy++ Pd++lfrkvvk++GvaiiGqt lcl|FitnessBrowser__PV4:5210371 80 PIIDKHSTGGVGDVISLMLGPMAAACGGYVPMISGRGLGHTGGTLDKFDAIPGYQTEPDSDLFRKVVKEAGVAIIGQT 157 ****************************************************************************** PP TIGR02643 157 adlaPadkrlyairdvtatvesiplitasilskklaaGldalvldvkvGnGafmesleeseelarslvevangaGvrt 234 +dl Padkr+y+ird tatvesi+litasilskklaaGldal++dvkvG+Gafm+++e seelars+ vangaG +t lcl|FitnessBrowser__PV4:5210371 158 GDLVPADKRFYSIRDNTATVESISLITASILSKKLAAGLDALAMDVKVGSGAFMPTYEASEELARSITAVANGAGTKT 235 ****************************************************************************** PP TIGR02643 235 talitdmnqalasaaGnavevreavdfltGekrdkrleevtlalaaellvsgklaadeaeaeakleavlesGraaerf 312 tal+tdmnq+las+aGnavev+eavdfltG++r++rl evt+ l+ae+l+ g+laa+ea+a+ kl++vl++G+aa++f lcl|FitnessBrowser__PV4:5210371 236 TALLTDMNQVLASCAGNAVEVKEAVDFLTGAYRNPRLYEVTMGLCAEMLQLGGLAASEADAREKLNRVLDNGKAADIF 313 ****************************************************************************** PP TIGR02643 313 armvaalgGPadfvekpekylakaaiakavkaaregylseidtrelGlavvalGGGrrkaddkldlsvGltdllelGe 390 +rm+a lgGPadf+e+++kyl++++i+++v+a+r+g+ +++dtrelGlavv+lGGGrrk+ d ld+svGlt++ lG+ lcl|FitnessBrowser__PV4:5210371 314 GRMIAGLGGPADFIENYAKYLPQSQIIRPVYADRSGFAASMDTRELGLAVVTLGGGRRKPGDALDYSVGLTQVCALGD 391 ****************************************************************************** PP TIGR02643 391 kvekeeplavvhaadeedaeeaakavkkalkiadeaPeeakvvleri 437 ++ +++p+a+vha++e+ +eeaa+avkka++i+deaPe+++ +++ i lcl|FitnessBrowser__PV4:5210371 392 EITSDKPIAMVHAQSESAFEEAAAAVKKAIHIGDEAPEKTPEIYRYI 438 *******************************************9876 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (437 nodes) Target sequences: 1 (443 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: 00:00:00.01 # Mc/sec: 9.72 // [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