Align amino-acid acetyltransferase (characterized)
to candidate 5211062 Shew_3478 N-acetylglutamate synthase (RefSeq)
Query= CharProtDB::CH_024150 (443 letters) >lcl|FitnessBrowser__PV4:5211062 Shew_3478 N-acetylglutamate synthase (RefSeq) Length = 440 Score = 584 bits (1506), Expect = e-171 Identities = 280/438 (63%), Positives = 351/438 (80%) Query: 5 RKTELVEGFRHSVPYINTHRGKTFVIMLGGEAIEHENFSSIVNDIGLLHSLGIRLVVVYG 64 R TELVEGFRHS Y+N HRGKTFV+MLGGEA+ F SI+NDI LLHSLGI++V+V+G Sbjct: 2 RTTELVEGFRHSASYVNAHRGKTFVVMLGGEALAQSQFRSIINDIALLHSLGIKIVLVHG 61 Query: 65 ARPQIDANLAAHHHEPLYHKNIRVTDAKTLELVKQAAGTLQLDITARLSMSLNNTPLQGA 124 ARPQID LAAH+ P Y+ +R++D ++ ++KQ G LQLDITARLSMSL+NTP+QGA Sbjct: 62 ARPQIDEALAAHNLAPEYYNGVRISDEESFRVIKQVVGGLQLDITARLSMSLSNTPMQGA 121 Query: 125 HINVVSGNFIIAQPLGVDDGVDYCHSGRIRRIDEDAIHRQLDSGAIVLMGPVAVSVTGES 184 INVVSGNF+IAQPLGVD+GVDYC SG++RRID + RQLD+ IVL+GPVA SVTGE Sbjct: 122 QINVVSGNFVIAQPLGVDNGVDYCLSGKVRRIDVAGLRRQLDNHGIVLLGPVAASVTGEC 181 Query: 185 FNLTSEEIATQLAIKLKAEKMIGFCSSQGVTNDDGDIVSELFPNEAQARVEAQEEKGDYN 244 FNLT+EE+ATQ+A+KLKA+KMIGF + +G+ + +G++++EL P +AQ + ++ ++ Sbjct: 182 FNLTAEEVATQIAVKLKADKMIGFSAKEGILDSNGEVIAELMPTDAQRILSELTDEDNWC 241 Query: 245 SGTVRFLRGAVKACRSGVRRCHLISYQEDGALLQELFSRDGIGTQIVMESAEQIRRATIN 304 GT FL+ ++ ACR+GV RCH +SY +DGALLQELFSRDGIGTQIV ESAE++RRATI Sbjct: 242 VGTRAFLQASIDACRNGVARCHFVSYLDDGALLQELFSRDGIGTQIVTESAERLRRATIA 301 Query: 305 DIGGILELIRPLEQQGILVRRSREQLEMEIDKFTIIQRDNTTIACAALYPFPEEKIGEMA 364 DIGG+L+LIRPLEQ G+LVRRSREQLEMEI++F +I+RD I CAALYPF E+ GE A Sbjct: 302 DIGGVLDLIRPLEQAGVLVRRSREQLEMEIEQFMLIERDGLVIGCAALYPFEEDNAGEFA 361 Query: 365 CVAVHPDYRSSSRGEVLLERIAAQAKQSGLSKLFVLTTRSIHWFQERGFTPVDIDLLPES 424 C+ VHPDYR + RG +LL+ I QAK G ++LF LTTRSIHWF E GF V++D LP Sbjct: 362 CLVVHPDYRDADRGSILLKNIIGQAKVRGYARLFALTTRSIHWFLEHGFQIVEVDALPNK 421 Query: 425 KKQLYNYQRKSKVLMADL 442 KKQLYNYQRKSK+L DL Sbjct: 422 KKQLYNYQRKSKILALDL 439 Lambda K H 0.319 0.136 0.384 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: 594 Number of extensions: 12 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: 443 Length of database: 440 Length adjustment: 32 Effective length of query: 411 Effective length of database: 408 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 (21.8 bits) S2: 51 (24.3 bits)
Align candidate 5211062 Shew_3478 (N-acetylglutamate synthase (RefSeq))
to HMM TIGR01890 (argA: amino-acid N-acetyltransferase (EC 2.3.1.1))
# 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/TIGR01890.hmm # target sequence database: /tmp/gapView.15325.genome.faa # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Query: TIGR01890 [M=429] Accession: TIGR01890 Description: N-Ac-Glu-synth: amino-acid N-acetyltransferase 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 ------- ------ ----- ------- ------ ----- ---- -- -------- ----------- 1.1e-191 623.3 1.2 1.2e-191 623.2 1.2 1.0 1 lcl|FitnessBrowser__PV4:5211062 Shew_3478 N-acetylglutamate synt Domain annotation for each sequence (and alignments): >> lcl|FitnessBrowser__PV4:5211062 Shew_3478 N-acetylglutamate synthase (RefSeq) # score bias c-Evalue i-Evalue hmmfrom hmm to alifrom ali to envfrom env to acc --- ------ ----- --------- --------- ------- ------- ------- ------- ------- ------- ---- 1 ! 623.2 1.2 1.2e-191 1.2e-191 1 428 [. 6 438 .. 6 439 .. 0.99 Alignments for each domain: == domain 1 score: 623.2 bits; conditional E-value: 1.2e-191 TIGR01890 1 fvkwlreaaPyinahrdktlvvglggelvedknlgklvadiallhslGvrlvlvhGarpqieerlakrgrtthyvrGl 78 +v+++r++a y+nahr+kt+vv+lgge+++++++ +++diallhslG+++vlvhGarpqi+e la++++ ++y +G+ lcl|FitnessBrowser__PV4:5211062 6 LVEGFRHSASYVNAHRGKTFVVMLGGEALAQSQFRSIINDIALLHSLGIKIVLVHGARPQIDEALAAHNLAPEYYNGV 83 699*************************************************************************** PP TIGR01890 79 rvtdeaslelvkeaaGelrlaiearlsmslantpmagsrlsvvsGnfvtarPiGvveGvdyehtGevrkidaegirrl 156 r+ de s+ ++k+++G l+l+i+arlsmsl+ntpm+g++++vvsGnfv+a+P+Gv++Gvdy+ +G+vr+id++g+rr+ lcl|FitnessBrowser__PV4:5211062 84 RISDEESFRVIKQVVGGLQLDITARLSMSLSNTPMQGAQINVVSGNFVIAQPLGVDNGVDYCLSGKVRRIDVAGLRRQ 161 ****************************************************************************** PP TIGR01890 157 ldersivllsPlgfsvtGeifnlamedvatsvaiklkadklillteedGildadGklvaelsaqeveslverleeet. 233 ld+ ivll+P++ svtGe+fnl++e+vat++a+klkadk+i +++++Gild++G+++ael++ ++++ + +l +e lcl|FitnessBrowser__PV4:5211062 162 LDNHGIVLLGPVAASVTGECFNLTAEEVATQIAVKLKADKMIGFSAKEGILDSNGEVIAELMPTDAQRILSELTDEDn 239 *************************************************************************99988 PP TIGR01890 234 ....tarllsaavkalrgGvarshlvsyaedGallqelftrdGiGtlvskealesireatiddvggilelirPleeqG 307 t+ +l+a ++a+r Gvar+h+vsy dGallqelf+rdGiGt++++e++e +r+ati d+gg+l+lirPle+ G lcl|FitnessBrowser__PV4:5211062 240 wcvgTRAFLQASIDACRNGVARCHFVSYLDDGALLQELFSRDGIGTQIVTESAERLRRATIADIGGVLDLIRPLEQAG 317 99**************************************************************************** PP TIGR01890 308 ilvrrsrellereieefsviekdGliigcaalypyaeeevgelaclavsPeardggrGerllkhiedrarqvGlkrlf 385 +lvrrsre+le eie+f +ie+dGl+igcaalyp+ e+++ge+acl v+P++rd++rG llk+i+ +a+ G rlf lcl|FitnessBrowser__PV4:5211062 318 VLVRRSREQLEMEIEQFMLIERDGLVIGCAALYPFEEDNAGEFACLVVHPDYRDADRGSILLKNIIGQAKVRGYARLF 395 ****************************************************************************** PP TIGR01890 386 vlttrtehWfrerGfaeasvdelPearrklynyqrrskilvkk 428 +lttr+ hWf+e+Gf+ ++vd+lP+++++lynyqr+skil lcl|FitnessBrowser__PV4:5211062 396 ALTTRSIHWFLEHGFQIVEVDALPNKKKQLYNYQRKSKILALD 438 ***************************************9875 PP Internal pipeline statistics summary: ------------------------------------- Query model(s): 1 (429 nodes) Target sequences: 1 (440 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: 8.58 // [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