Align aspartate kinase (EC 2.7.2.4) (characterized)
to candidate 6936415 Sama_0603 aspartate kinase III (RefSeq)
Query= BRENDA::P08660 (449 letters) >FitnessBrowser__SB2B:6936415 Length = 452 Score = 507 bits (1306), Expect = e-148 Identities = 269/447 (60%), Positives = 338/447 (75%), Gaps = 1/447 (0%) Query: 4 IVVSKFGGTSVADFDAMNRSADIVLSDANVRLVVLSASAGITNLLVALAEGLEPGER-FE 62 +VV+KFGGTSVADF+AM+R A IVL+++ RLVV+SAS+G+TNLLV L + ER + Sbjct: 3 LVVAKFGGTSVADFNAMSRCAAIVLANSATRLVVVSASSGVTNLLVELTQATVTDERRLQ 62 Query: 63 KLDAIRNIQFAILERLRYPNVIREEIERLLENITVLAEAAALATSPALTDELVSHGELMS 122 L I IQ+AIL++L P + ++ LL I+VL+E+ L S A+ DEL+S GE S Sbjct: 63 LLKQIAQIQYAILDKLERPQDVAAALDALLSRISVLSESLILNRSKAIMDELLSMGEQCS 122 Query: 123 TLLFVEILRERDVQAQWFDVRKVMRTNDRFGRAEPDIAALAELAALQLLPRLNEGLVITQ 182 LLF +LR++ ++ FDVR+VMRT+ FGRAEP I +A LA L P L +V+TQ Sbjct: 123 ALLFSAVLRQQGAKSSSFDVRQVMRTDSHFGRAEPQIEDIAALARDFLQPLLERDIVVTQ 182 Query: 183 GFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVVSAAKRIDE 242 GFIG++ +GRTTTLGRGGSDY+AALLAEAL A V+IWTDV GIYTTDPR+ A+ I E Sbjct: 183 GFIGADAEGRTTTLGRGGSDYSAALLAEALRADAVEIWTDVAGIYTTDPRLAPNARPIAE 242 Query: 243 IAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRAGGTLVCNKTENPPLFRAL 302 I+F EAAEMATFGAKVLHPAT+LPAVR I VFVGSS++P GGT + ++ +NPP++RA+ Sbjct: 243 ISFNEAAEMATFGAKVLHPATILPAVRQQIQVFVGSSREPEKGGTWIRHQVDNPPIYRAV 302 Query: 303 ALRRNQTLLTLHSLNMLHSRGFLAEVFGILARHNISVDLITTSEVSVALTLDTTGSTSTG 362 A+RR+QTLL LHSL MLH+RGFLAE F LARH ISVDLITTSEV+V+LTLD TGS STG Sbjct: 303 AVRRDQTLLNLHSLQMLHARGFLAETFATLARHKISVDLITTSEVNVSLTLDKTGSDSTG 362 Query: 363 DTLLTQSLLMELSALCRVEVEEGLALVALIGNDLSKACGVGKEVFGVLEPFNIRMICYGA 422 LL+++LL ELS CRV VE+ LALVA+IGN ++ G+ ++VF VLE N+RMIC GA Sbjct: 363 SGLLSEALLQELSQHCRVRVEDNLALVAIIGNRIASTPGICRQVFTVLENHNVRMICQGA 422 Query: 423 SSHNLCFLVPGEDAEQVVQKLHSNLFE 449 S HNLC LV +A QVV+ LH NLFE Sbjct: 423 SPHNLCVLVAESEAAQVVKALHENLFE 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: 471 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 6936415 Sama_0603 (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.20656.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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 2.1e-138 447.6 1.6 2.4e-138 447.5 1.6 1.0 1 lcl|FitnessBrowser__SB2B:6936415 Sama_0603 aspartate kinase III ( Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__SB2B:6936415 Sama_0603 aspartate kinase III (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 447.5 1.6 2.4e-138 2.4e-138 1 406 [. 1 449 [. 1 450 [. 0.94 Alignments for each domain: == domain 1 score: 447.5 bits; conditional E-value: 2.4e-138 TIGR00656 1 veliVqKFGGtsvgsserikkaakivlkelkegkkvvVVvSAmskvtdelvelae..............llklleai 63 ++l+V+KFGGtsv++++++ + a ivl++ ++VVvSA+s+vt+ lvel++ + ++++ai lcl|FitnessBrowser__SB2B:6936415 1 MSLVVAKFGGTSVADFNAMSRCAAIVLAN---SATRLVVVSASSGVTNLLVELTQatvtderrlqllkqIAQIQYAI 74 679************************99...8899*******************9999999888655544444444 PP TIGR00656 64 sdei............................sprerdelvsvGEllssallssalrelgvkaealdgkeagilTdd 112 d+ s++ +del+s+GE+ s+ l+s +lr++g k+ ++d ++++++Td+ lcl|FitnessBrowser__SB2B:6936415 75 LDKLerpqdvaaaldallsrisvlseslilnrSKAIMDELLSMGEQCSALLFSAVLRQQGAKSSSFD-VRQVMRTDS 150 44448888888899999999999999999*99***********************************.999****** PP TIGR00656 113 efgnAkikelate....erLlelLeegiivvvaGFiGateeGeiTtLGRGGSDltAallaaalkAdrveiyTDVeGv 185 +fg+A++++++++ L +lLe++ ivv++GFiGa+ eG++TtLGRGGSD++Aalla+al Ad vei+TDV G+ lcl|FitnessBrowser__SB2B:6936415 151 HFGRAEPQIEDIAalarDFLQPLLERD-IVVTQGFIGADAEGRTTTLGRGGSDYSAALLAEALRADAVEIWTDVAGI 226 **********99999855566666666.************************************************* PP TIGR00656 186 yttDPrvveeakkidkisyeEalelAtlGakvlhpralelaveakvpilvrsskeke.egTlitnkkensslvkaia 261 yttDPr+ ++a++i++is++Ea+e+At+Gakvlhp+++ +av+++++++v ss e+e gT i ++ +n+++ +a+a lcl|FitnessBrowser__SB2B:6936415 227 YTTDPRLAPNARPIAEISFNEAAEMATFGAKVLHPATILPAVRQQIQVFVGSSREPEkGGTWIRHQVDNPPIYRAVA 303 *********************************************************999***************** PP TIGR00656 262 leknvarltvegegmlgkrgilaeifkaLaeeeinvdlisqtesetsislvvdeedvdeakkaLkeesgaae...le 335 +++++++l++++ +ml+ rg+lae f +La+++i+vdli+++e +++sl++d++++d++ + L +e +++e + lcl|FitnessBrowser__SB2B:6936415 304 VRRDQTLLNLHSLQMLHARGFLAETFATLARHKISVDLITTSE--VNVSLTLDKTGSDSTGSGLLSEALLQElsqHC 378 ****************************************999..*********************99888877789 PP TIGR00656 336 sleveedlavvsivgaglveapGvaseifkaleekninilmisssetkisvlvdekdaekavrklheklee 406 ++ ve +la+v+i+g+ + ++pG+ ++f++le++n+++++ ++s ++++vlv e +a ++v++lhe+l+e lcl|FitnessBrowser__SB2B:6936415 379 RVRVEDNLALVAIIGNRIASTPGICRQVFTVLENHNVRMICQGASPHNLCVLVAESEAAQVVKALHENLFE 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: 8.55 // [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