Align aspartate kinase (EC 2.7.2.4) (characterized)
to candidate 18052 b4024 aspartate kinase III (NCBI)
Query= BRENDA::P08660 (449 letters) >FitnessBrowser__Keio:18052 Length = 449 Score = 860 bits (2222), Expect = 0.0 Identities = 449/449 (100%), Positives = 449/449 (100%) Query: 1 MSEIVVSKFGGTSVADFDAMNRSADIVLSDANVRLVVLSASAGITNLLVALAEGLEPGER 60 MSEIVVSKFGGTSVADFDAMNRSADIVLSDANVRLVVLSASAGITNLLVALAEGLEPGER Sbjct: 1 MSEIVVSKFGGTSVADFDAMNRSADIVLSDANVRLVVLSASAGITNLLVALAEGLEPGER 60 Query: 61 FEKLDAIRNIQFAILERLRYPNVIREEIERLLENITVLAEAAALATSPALTDELVSHGEL 120 FEKLDAIRNIQFAILERLRYPNVIREEIERLLENITVLAEAAALATSPALTDELVSHGEL Sbjct: 61 FEKLDAIRNIQFAILERLRYPNVIREEIERLLENITVLAEAAALATSPALTDELVSHGEL 120 Query: 121 MSTLLFVEILRERDVQAQWFDVRKVMRTNDRFGRAEPDIAALAELAALQLLPRLNEGLVI 180 MSTLLFVEILRERDVQAQWFDVRKVMRTNDRFGRAEPDIAALAELAALQLLPRLNEGLVI Sbjct: 121 MSTLLFVEILRERDVQAQWFDVRKVMRTNDRFGRAEPDIAALAELAALQLLPRLNEGLVI 180 Query: 181 TQGFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVVSAAKRI 240 TQGFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVVSAAKRI Sbjct: 181 TQGFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVVSAAKRI 240 Query: 241 DEIAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRAGGTLVCNKTENPPLFR 300 DEIAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRAGGTLVCNKTENPPLFR Sbjct: 241 DEIAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRAGGTLVCNKTENPPLFR 300 Query: 301 ALALRRNQTLLTLHSLNMLHSRGFLAEVFGILARHNISVDLITTSEVSVALTLDTTGSTS 360 ALALRRNQTLLTLHSLNMLHSRGFLAEVFGILARHNISVDLITTSEVSVALTLDTTGSTS Sbjct: 301 ALALRRNQTLLTLHSLNMLHSRGFLAEVFGILARHNISVDLITTSEVSVALTLDTTGSTS 360 Query: 361 TGDTLLTQSLLMELSALCRVEVEEGLALVALIGNDLSKACGVGKEVFGVLEPFNIRMICY 420 TGDTLLTQSLLMELSALCRVEVEEGLALVALIGNDLSKACGVGKEVFGVLEPFNIRMICY Sbjct: 361 TGDTLLTQSLLMELSALCRVEVEEGLALVALIGNDLSKACGVGKEVFGVLEPFNIRMICY 420 Query: 421 GASSHNLCFLVPGEDAEQVVQKLHSNLFE 449 GASSHNLCFLVPGEDAEQVVQKLHSNLFE Sbjct: 421 GASSHNLCFLVPGEDAEQVVQKLHSNLFE 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: 718 Number of extensions: 16 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: 449 Length of database: 449 Length adjustment: 33 Effective length of query: 416 Effective length of database: 416 Effective search space: 173056 Effective search space used: 173056 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 18052 b4024 (aspartate kinase III (NCBI))
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.18347.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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 8.2e-158 511.6 0.1 9.3e-158 511.4 0.1 1.0 1 lcl|FitnessBrowser__Keio:18052 b4024 aspartate kinase III (NCBI Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__Keio:18052 b4024 aspartate kinase III (NCBI) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 511.4 0.1 9.3e-158 9.3e-158 2 406 .. 3 449 .] 2 449 .] 0.97 Alignments for each domain: == domain 1 score: 511.4 bits; conditional E-value: 9.3e-158 TIGR00656 2 eliVqKFGGtsvgsserikkaakivlkelkegkkvvVVvSAmskvtdelvelae.............llkll....... 60 e++V+KFGGtsv+++++++++a+ivl++ ++ ++VV+SA++++t+ lv+lae +++++ lcl|FitnessBrowser__Keio:18052 3 EIVVSKFGGTSVADFDAMNRSADIVLSD---ANVRLVVLSASAGITNLLVALAEglepgerfekldaIRNIQfailerl 78 89*************************9...9*****************************999999666666677777 PP TIGR00656 61 ...eaisdei..................sprerdelvsvGEllssallssalrelgvkaealdgkeagilTddefgnAk 118 ++i++ei sp+ +delvs+GEl+s+ l++++lre++v+a+++d ++++++T+d+fg+A+ lcl|FitnessBrowser__Keio:18052 79 rypNVIREEIerllenitvlaeaaalatSPALTDELVSHGELMSTLLFVEILRERDVQAQWFD-VRKVMRTNDRFGRAE 156 8888888888999999999999999999***********************************.9************** PP TIGR00656 119 ikelate....erLlelLeegiivvvaGFiGateeGeiTtLGRGGSDltAallaaalkAdrveiyTDVeGvyttDPrvv 193 ++++a++ +Ll++L+eg +v+++GFiG++++G++TtLGRGGSD+tAalla+al+A+rv+i+TDV+G+yttDPrvv lcl|FitnessBrowser__Keio:18052 157 PDIAALAelaaLQLLPRLNEG-LVITQGFIGSENKGRTTTLGRGGSDYTAALLAEALHASRVDIWTDVPGIYTTDPRVV 234 *****9989999*********.9******************************************************** PP TIGR00656 194 eeakkidkisyeEalelAtlGakvlhpralelaveakvpilvrsskeke.egTlitnkkensslvkaialeknvarltv 271 ++ak+id+i+++Ea+e+At+Gakvlhp++l +av++++p++v ssk+++ gTl++nk+en++l++a+al++n+++lt+ lcl|FitnessBrowser__Keio:18052 235 SAAKRIDEIAFAEAAEMATFGAKVLHPATLLPAVRSDIPVFVGSSKDPRaGGTLVCNKTENPPLFRALALRRNQTLLTL 313 *************************************************99**************************** PP TIGR00656 272 egegmlgkrgilaeifkaLaeeeinvdlisqtesetsislvvdeedvdeakkaLkeesgaae...lesleveedlavvs 347 ++ +ml++rg+lae+f++La+++i+vdli+++e +s++l++d+++++++ ++L ++s+++e l+++evee+la+v+ lcl|FitnessBrowser__Keio:18052 314 HSLNMLHSRGFLAEVFGILARHNISVDLITTSE--VSVALTLDTTGSTSTGDTLLTQSLLMElsaLCRVEVEEGLALVA 390 ******************************999..***************************999************** PP TIGR00656 348 ivgaglveapGvaseifkaleekninilmisssetkisvlvdekdaekavrklheklee 406 ++g++l++a+Gv +e+f +le++ni+++++++s++++++lv+++dae++v+klh++l+e lcl|FitnessBrowser__Keio:18052 391 LIGNDLSKACGVGKEVFGVLEPFNIRMICYGASSHNLCFLVPGEDAEQVVQKLHSNLFE 449 *******************************************************9975 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (407 nodes) Target sequences: 1 (449 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: 7.18 // [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