Align aspartate kinase (EC 2.7.2.4) (characterized)
to candidate 5208267 Shew_0779 aspartate kinase III (RefSeq)
Query= BRENDA::P08660 (449 letters) >lcl|FitnessBrowser__PV4:5208267 Shew_0779 aspartate kinase III (RefSeq) Length = 452 Score = 508 bits (1307), Expect = e-148 Identities = 266/447 (59%), Positives = 340/447 (76%), Gaps = 1/447 (0%) Query: 4 IVVSKFGGTSVADFDAMNRSADIVLSDANVRLVVLSASAGITNLLVALA-EGLEPGERFE 62 IVV+KFGGTSVAD++AMNR ADIVL++ R+VV+SAS+G+TNLLV L E ++ R + Sbjct: 3 IVVAKFGGTSVADYEAMNRCADIVLANPETRVVVVSASSGVTNLLVELTQEHVDFERRQQ 62 Query: 63 KLDAIRNIQFAILERLRYPNVIREEIERLLENITVLAEAAALATSPALTDELVSHGELMS 122 L AI +IQ+ IL+ L P+ + ++ +L I L+E+ + + A TDEL++ GE S Sbjct: 63 LLKAIASIQYKILDELGQPHDVAARLDAILSKIASLSESLSQNRNKATTDELLAQGEQCS 122 Query: 123 TLLFVEILRERDVQAQWFDVRKVMRTNDRFGRAEPDIAALAELAALQLLPRLNEGLVITQ 182 ++LF +LRE+ +A FDVR+VMRT+ FGRAEP I A+ +L LLP L+E ++TQ Sbjct: 123 SVLFAAVLREKGERASAFDVRQVMRTDSHFGRAEPQIEAVKQLCTEHLLPLLSEQRIVTQ 182 Query: 183 GFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVVSAAKRIDE 242 GFIG++ +G TTTLGRGGSDY+AALLAEAL AS V+IWTDVPGI+TTDPR+ A+ I E Sbjct: 183 GFIGADEQGATTTLGRGGSDYSAALLAEALDASAVEIWTDVPGIFTTDPRLAPNARPIPE 242 Query: 243 IAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRAGGTLVCNKTENPPLFRAL 302 I+F EAAEMATFGAKVLHPAT+LPAVR I VFVGSSK P GGT + ++ + P++RA+ Sbjct: 243 ISFNEAAEMATFGAKVLHPATILPAVRHKIQVFVGSSKAPELGGTWIRHQVNDEPIYRAV 302 Query: 303 ALRRNQTLLTLHSLNMLHSRGFLAEVFGILARHNISVDLITTSEVSVALTLDTTGSTSTG 362 A+RR+QTLL LHSL MLH++GFLAE F LARH ISVDLITTSEV+V+LTLD TGS S G Sbjct: 303 AVRRDQTLLNLHSLQMLHAQGFLAETFATLARHKISVDLITTSEVNVSLTLDKTGSDSAG 362 Query: 363 DTLLTQSLLMELSALCRVEVEEGLALVALIGNDLSKACGVGKEVFGVLEPFNIRMICYGA 422 ++LL+++LL ELS CRV VE+GLALVA++GN ++ GV + VF VLEP N+RMIC GA Sbjct: 363 NSLLSEALLQELSQHCRVRVEDGLALVAIVGNKIATTSGVCRRVFEVLEPHNVRMICQGA 422 Query: 423 SSHNLCFLVPGEDAEQVVQKLHSNLFE 449 S HNLC LV +A QVV LH NLFE Sbjct: 423 SPHNLCVLVAESEAAQVVSALHQNLFE 449 Lambda K H 0.320 0.135 0.376 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: 497 Number of extensions: 12 Number of successful extensions: 3 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: 449 Length of database: 452 Length adjustment: 33 Effective length of query: 416 Effective length of database: 419 Effective search space: 174304 Effective search space used: 174304 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 (21.8 bits) S2: 51 (24.3 bits)
Align candidate 5208267 Shew_0779 (aspartate kinase III (RefSeq))
to HMM TIGR00656 (aspartate kinase, monofunctional class (EC 2.7.2.4))
# 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.aa/TIGR00656.hmm # target sequence database: /tmp/gapView.12851.genome.faa # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Query: TIGR00656 [M=407] Accession: TIGR00656 Description: asp_kin_monofn: aspartate kinase, monofunctional class 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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 6.3e-138 446.1 0.9 7.3e-138 445.9 0.9 1.0 1 lcl|FitnessBrowser__PV4:5208267 Shew_0779 aspartate kinase III ( Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__PV4:5208267 Shew_0779 aspartate kinase III (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 445.9 0.9 7.3e-138 7.3e-138 1 406 [. 1 449 [. 1 450 [. 0.94 Alignments for each domain: == domain 1 score: 445.9 bits; conditional E-value: 7.3e-138 TIGR00656 1 veliVqKFGGtsvgsserikkaakivlkelkegkkvvVVvSAmskvtdelvelae....................... 55 ++++V+KFGGtsv++ e++++ a+ivl++ + +vVVvSA+s+vt+ lvel++ lcl|FitnessBrowser__PV4:5208267 1 MSIVVAKFGGTSVADYEAMNRCADIVLAN---PETRVVVVSASSGVTNLLVELTQehvdferrqqllkaiasiqykil 75 679************************99...899********************9********98888666666666 PP TIGR00656 56 ...................llklleaisdeisprerdelvsvGEllssallssalrelgvkaealdgkeagilTddef 114 + +l e+ s++ +++++del++ GE+ ss+l++ +lre+g++a a+d ++++++Td++f lcl|FitnessBrowser__PV4:5208267 76 delgqphdvaarldailskIASLSESLSQNRNKATTDELLAQGEQCSSVLFAAVLREKGERASAFD-VRQVMRTDSHF 152 6666666666666665444444447777777***********************************.999******** PP TIGR00656 115 gnAkikelate....erLlelLeegiivvvaGFiGateeGeiTtLGRGGSDltAallaaalkAdrveiyTDVeGvytt 188 g+A+++++a++ e+Ll+lL e+ i v++GFiGa+e+G +TtLGRGGSD++Aalla+al+A+ vei+TDV+G++tt lcl|FitnessBrowser__PV4:5208267 153 GRAEPQIEAVKqlctEHLLPLLSEQRI-VTQGFIGADEQGATTTLGRGGSDYSAALLAEALDASAVEIWTDVPGIFTT 229 ***********9*************65.79************************************************ PP TIGR00656 189 DPrvveeakkidkisyeEalelAtlGakvlhpralelaveakvpilvrsskeke.egTlitnkkensslvkaialekn 265 DPr+ ++a++i++is++Ea+e+At+Gakvlhp+++ +av+ k++++v ssk +e gT i ++ + +++ +a+a++++ lcl|FitnessBrowser__PV4:5208267 230 DPRLAPNARPIPEISFNEAAEMATFGAKVLHPATILPAVRHKIQVFVGSSKAPElGGTWIRHQVNDEPIYRAVAVRRD 307 ***************************************************************99999********** PP TIGR00656 266 varltvegegmlgkrgilaeifkaLaeeeinvdlisqtesetsislvvdeedvdeakkaLkeesgaae...lesleve 340 +++l++++ +ml+ +g+lae f +La+++i+vdli+++e +++sl++d++++d+a + L +e +++e +++ ve lcl|FitnessBrowser__PV4:5208267 308 QTLLNLHSLQMLHAQGFLAETFATLARHKISVDLITTSE--VNVSLTLDKTGSDSAGNSLLSEALLQElsqHCRVRVE 383 ************************************999..**********************9988887889***** PP TIGR00656 341 edlavvsivgaglveapGvaseifkaleekninilmisssetkisvlvdekdaekavrklheklee 406 +la+v+ivg+ + ++Gv ++f++le++n+++++ ++s ++++vlv e +a ++v +lh++l+e lcl|FitnessBrowser__PV4:5208267 384 DGLALVAIVGNKIATTSGVCRRVFEVLEPHNVRMICQGASPHNLCVLVAESEAAQVVSALHQNLFE 449 ***************************************************************986 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (407 nodes) Target sequences: 1 (452 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: 7.12 // [ok]
This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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, or see changes to Amino acid biosynthesis since the 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