Align aminobutyraldehyde dehydrogenase (EC 1.2.1.19); betaine-aldehyde dehydrogenase (EC 1.2.1.8) (characterized)
to candidate AZOBR_RS31000 AZOBR_RS31000 aldehyde dehydrogenase
Query= BRENDA::Q9STS1 (503 letters) >FitnessBrowser__azobra:AZOBR_RS31000 Length = 479 Score = 312 bits (799), Expect = 2e-89 Identities = 186/480 (38%), Positives = 262/480 (54%), Gaps = 14/480 (2%) Query: 8 RQLFIGGQWTEPVLRKT-LPVVNPATEDIIGYIPAATSEDVELAVEAARKAFTRNNGKDW 66 + +IGG WTEP T + V+NPATE + G + ED + AV AA AF + Sbjct: 5 QSFYIGGAWTEPAAGATVMEVLNPATEQVSGTVALGGPEDAQRAVAAAHAAFD-----GF 59 Query: 67 ARATGAVRAKYLRAIAAKVIERKSELANLEAIDCGKPLDEAAWDMDDVAGCFEYYADLAE 126 +R R + L A+ A +R E+A+ + G PL + A F A Sbjct: 60 SRTPLNERLELLAAVCALFEKRMDEVADAITEEMGAPLAA----LSKPAQAFMGLAHFKT 115 Query: 127 GLDAKQKTPLSLPMDTFKGYILKEPIGVVGMITPWNYPLLMAVWKVAPSLAAGCTAILKP 186 L+A ++ P T + IL+EP+GV MITPWN+P+ KVAP+LA GCT +LKP Sbjct: 116 ALEAAREYPFERTRGTTR--ILREPVGVCAMITPWNWPINQIACKVAPALATGCTMVLKP 173 Query: 187 SELASLTCLELADICREVGLPPGVLNILTGLGTEAGAPLASHPHVDKIVFTGSTTTGSSI 246 SE A + A+I E G+P GV N+ G G G LASHP VD + TGST G+S+ Sbjct: 174 SEFAPYSAWIFAEILHEAGVPAGVFNMFYGDGAVVGPVLASHPLVDMVSLTGSTRAGASV 233 Query: 247 MTSAAKLVKPVSLELGGKSPIIVFDDVDIDKAVEWTMFGCFWTNGQICSATSRLLVHERI 306 +AA +K VSLELGGKS I+ + D+ KAV + GQ C+A SR+ V Sbjct: 234 SHNAADSIKRVSLELGGKSANIICESADLTKAVTHGVRSMMSNTGQSCNAPSRMYVPASR 293 Query: 307 ADEFLDKLVKWTKNIKISDPFEEGCRLGPVVSKGQYERVLKFVSNARNEGATVLCGGV-R 365 DE + + + DP + +GP+ ++ QYERV + + EGAT+LCGG R Sbjct: 294 LDEAETIAAQVCARLVVGDPRGDRTGVGPIANQRQYERVQRLIQAGIEEGATLLCGGPGR 353 Query: 366 PEHLKKGYFVEPAIVSNVTTSMEIWREEVFGPALCVKTFSTEDEAIQLANDSQYGLAGAV 425 P+ L++G++ +P + S T M I REE+FGP L ++ + +EAI+ ANDS YGL+G V Sbjct: 354 PDGLERGFYAKPTVFSRATDGMTIMREEIFGPVLTIRPYEDIEEAIRSANDSLYGLSGYV 413 Query: 426 LSNDLERCDRVSKAFQAGIVWVNCSQPCFCQAPWGGTKRSGFGRELGEWGLENYLSVKQV 485 + ++ V+K + G+V +N AP+GG K+SG GRE GE G E +L K V Sbjct: 414 YAGTVDEARAVAKRLRTGMVHLN-GASIDLAAPFGGYKQSGIGREWGEVGFEEFLETKSV 472 Lambda K H 0.318 0.135 0.421 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: 637 Number of extensions: 27 Number of successful extensions: 5 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: 503 Length of database: 479 Length adjustment: 34 Effective length of query: 469 Effective length of database: 445 Effective search space: 208705 Effective search space used: 208705 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: 52 (24.6 bits)
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