Align thymidine phosphorylase (EC 2.4.2.4) (characterized)
to candidate 7023822 Shewana3_1042 thymidine phosphorylase (RefSeq)
Query= BRENDA::P07650 (440 letters) >FitnessBrowser__ANA3:7023822 Length = 443 Score = 603 bits (1554), Expect = e-177 Identities = 297/438 (67%), Positives = 354/438 (80%) Query: 1 MFLAQEIIRKKRDGHALSDEEIRFFINGIRDNTISEGQIAALAMTIFFHDMTMPERVSLT 60 MFLAQEIIRKKR+G ALS EEI+FF+ GI N +SEGQIAAL M ++F+DM M ER++LT Sbjct: 1 MFLAQEIIRKKRNGLALSTEEIQFFVKGITTNAVSEGQIAALGMAVYFNDMNMDERIALT 60 Query: 61 MAMRDSGTVLDWKSLHLNGPIVDKHSTGGVGDVTSLMLGPMVAACGGYIPMISGRGLGHT 120 AMRDSGTVL+W+SL LNGP++DKHSTGGVGDV SLMLGPM AACGGY+PMISGRGLGHT Sbjct: 61 TAMRDSGTVLNWQSLGLNGPVIDKHSTGGVGDVISLMLGPMAAACGGYVPMISGRGLGHT 120 Query: 121 GGTLDKLESIPGFDIFPDDNRFREIIKDVGVAIIGQTSSLAPADKRFYATRDITATVDSI 180 GGTLDK ++IPG+ P FR+++KDVGVAIIGQT L PADKRFY+ RD TATV+SI Sbjct: 121 GGTLDKFDAIPGYQTEPSSELFRKVVKDVGVAIIGQTGDLVPADKRFYSIRDNTATVESI 180 Query: 181 PLITASILAKKLAEGLDALVMDVKVGSGAFMPTYELSEALAEAIVGVANGAGVRTTALLT 240 LITASIL+KKLA LDAL MDVKVGSGAFMPTYE SE LA +I VANGAG +TTALLT Sbjct: 181 SLITASILSKKLACSLDALAMDVKVGSGAFMPTYEASEELARSIAAVANGAGTKTTALLT 240 Query: 241 DMNQVLASSAGNAVEVREAVQFLTGEYRNPRLFDVTMALCVEMLISGKLAKDDAEARAKL 300 DMNQVLAS AGNAVEV+EA+ FLTG YRNPRL+ VTM LC EML+ G LA D+A+ARAKL Sbjct: 241 DMNQVLASCAGNAVEVKEAIDFLTGAYRNPRLYAVTMGLCAEMLLLGGLASDEADARAKL 300 Query: 301 QAVLDNGKAAEVFGRMVAAQKGPTDFVENYAKYLPTAMLTKAVYADTEGFVSEMDTRALG 360 VLDNG+AAE+FG+MV+ GP DFVENY+KYLP + + + V+ADT+G+ MDTR LG Sbjct: 301 NRVLDNGRAAEIFGKMVSGLGGPVDFVENYSKYLPQSQIIRPVFADTQGYAYSMDTRELG 360 Query: 361 MAVVAMGGGRRQASDTIDYSVGFTDMARLGDQVDGQRPLAVIHAKDENNWQEAAKAVKAA 420 +AVV +GGGRR+ D +DYSVG T + LGD++D P+AVIHA+ E + +A +AVK A Sbjct: 361 LAVVTLGGGRRKPGDALDYSVGLTQVCALGDKIDASTPIAVIHAQSEEAFAQAEEAVKKA 420 Query: 421 IKLADKAPESTPTVYRRI 438 I + + APE TP +Y I Sbjct: 421 IHIDEVAPEKTPEIYAYI 438 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: 569 Number of extensions: 9 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 7023822 Shewana3_1042 (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.14912.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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 2.5e-222 724.4 4.5 2.9e-222 724.2 4.5 1.0 1 lcl|FitnessBrowser__ANA3:7023822 Shewana3_1042 thymidine phosphor Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__ANA3:7023822 Shewana3_1042 thymidine phosphorylase (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 724.2 4.5 2.9e-222 2.9e-222 1 437 [] 2 438 .. 2 438 .. 1.00 Alignments for each domain: == domain 1 score: 724.2 bits; conditional E-value: 2.9e-222 TIGR02643 1 llpqeiirkkrdglslsdeeiaafvegvtddsvsegqiaalamavyfngleldekvaltlamrdsGdvldwkdldln 77 +l+qeiirkkr+gl+ls+eei+ fv+g+t ++vsegqiaal mavyfn++++de++alt amrdsG+vl+w++l ln lcl|FitnessBrowser__ANA3:7023822 2 FLAQEIIRKKRNGLALSTEEIQFFVKGITTNAVSEGQIAALGMAVYFNDMNMDERIALTTAMRDSGTVLNWQSLGLN 78 79*************************************************************************** PP TIGR02643 78 gPvvdkhstGGvGdvvslmlaPivaacGgyvPmisGrGlGhtGGtldkleaiPGydvaPdeelfrkvvkdvGvaiiG 154 gPv+dkhstGGvGdv+slml+P+ aacGgyvPmisGrGlGhtGGtldk++aiPGy++ P++elfrkvvkdvGvaiiG lcl|FitnessBrowser__ANA3:7023822 79 GPVIDKHSTGGVGDVISLMLGPMAAACGGYVPMISGRGLGHTGGTLDKFDAIPGYQTEPSSELFRKVVKDVGVAIIG 155 ***************************************************************************** PP TIGR02643 155 qtadlaPadkrlyairdvtatvesiplitasilskklaaGldalvldvkvGnGafmesleeseelarslvevangaG 231 qt+dl Padkr+y+ird tatvesi+litasilskkla ldal++dvkvG+Gafm+++e seelars+ vangaG lcl|FitnessBrowser__ANA3:7023822 156 QTGDLVPADKRFYSIRDNTATVESISLITASILSKKLACSLDALAMDVKVGSGAFMPTYEASEELARSIAAVANGAG 232 ***************************************************************************** PP TIGR02643 232 vrttalitdmnqalasaaGnavevreavdfltGekrdkrleevtlalaaellvsgklaadeaeaeakleavlesGra 308 +ttal+tdmnq+las+aGnavev+ea+dfltG++r++rl +vt+ l+ae+l+ g+la+dea+a+akl++vl++Gra lcl|FitnessBrowser__ANA3:7023822 233 TKTTALLTDMNQVLASCAGNAVEVKEAIDFLTGAYRNPRLYAVTMGLCAEMLLLGGLASDEADARAKLNRVLDNGRA 309 ***************************************************************************** PP TIGR02643 309 aerfarmvaalgGPadfvekpekylakaaiakavkaaregylseidtrelGlavvalGGGrrkaddkldlsvGltdl 385 ae+f++mv+ lgGP dfve+++kyl++++i+++v a+++gy ++dtrelGlavv+lGGGrrk+ d ld+svGlt++ lcl|FitnessBrowser__ANA3:7023822 310 AEIFGKMVSGLGGPVDFVENYSKYLPQSQIIRPVFADTQGYAYSMDTRELGLAVVTLGGGRRKPGDALDYSVGLTQV 386 ***************************************************************************** PP TIGR02643 386 lelGekvekeeplavvhaadeedaeeaakavkkalkiadeaPeeakvvleri 437 lG+k+++ +p+av+ha++ee +++a +avkka++i++ aPe+++ +++ i lcl|FitnessBrowser__ANA3:7023822 387 CALGDKIDASTPIAVIHAQSEEAFAQAEEAVKKAIHIDEVAPEKTPEIYAYI 438 **********************************************999865 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: 0.01u 0.01s 00:00:00.02 Elapsed: 00:00:00.02 # Mc/sec: 9.42 // [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