Align α-ketoglutaric semialdehyde dehydrogenase subunit (EC 1.2.1.26) (characterized)
to candidate Echvi_3952 Echvi_3952 NAD-dependent aldehyde dehydrogenases
Query= metacyc::G1G01-1343-MONOMER (525 letters) >FitnessBrowser__Cola:Echvi_3952 Length = 478 Score = 422 bits (1085), Expect = e-122 Identities = 239/470 (50%), Positives = 297/470 (63%), Gaps = 6/470 (1%) Query: 53 AAFDAYRETSLEQRAEFLEAIATQIEALGDALIDRAVIETGLPKARIQGERGRTCTQLRT 112 AAF+ Y+ TSL +RA FL IA Q+EA+ +ALI A E+ LP+ RI GE GRT Q+R Sbjct: 12 AAFEQYKITSLAERAAFLRKIADQLEAIKEALIPTACEESHLPEGRITGELGRTTGQIRL 71 Query: 113 FARTVRAGEWLDVRIDSALPERQPLPRADLRQRQVALGPVAVFGASNFPLAFSVAGGDTA 172 FA+ V G WL+V ID PER P P+ DLR+ V LGPVAVFGASNFPLAFS AGGD+ Sbjct: 72 FAKYVEEGTWLEVTIDHGDPERTPAPKPDLRRMLVPLGPVAVFGASNFPLAFSTAGGDSI 131 Query: 173 SALAAGCPVVVKAHSAHPGTSELVGQAVAQAVKQCGLPEGVFSLLYGSGREVGIALVSDP 232 SALAAGC VV K H HP TS +V +A+ QA+ GLPEGVF + G G G LV P Sbjct: 132 SALAAGCTVVYKGHPGHPKTSLMVFEAIQQAIAAAGLPEGVFQHVEG-GISEGQTLVQHP 190 Query: 233 RIKAVGFTGSRSGGMALCQAAQARPEPIPVYAEMSSINPVFLFDAALQARAEALAQGFVA 292 IKAVGFTGS GG AL A +RPEPIPVYAEM SINP+ F++AL A +E +A + Sbjct: 191 AIKAVGFTGSFKGGKALFDLANSRPEPIPVYAEMGSINPIIAFESAL-ANSEQVAGQYAQ 249 Query: 293 SLTQGAGQFCTNPGLVIARQGPALQRFITAAAGYVQQGAAQTMLTPGIFSAYQAGIAALA 352 SLT GAGQFCTNPG++ A + F + A Q ML GI +AY + LA Sbjct: 250 SLTLGAGQFCTNPGVIFVPADMA-EAFAQNTGKVLADAAGQAMLHEGIQTAYHQSLDHLA 308 Query: 353 DNPHAQAITSGQAGQGPNQCQAQLFVTQAEAFLADPALQAEVFGAASLVVACTDDEQVRQ 412 D + I A + L +T + ++ P+LQ EVFG +VVA + + Sbjct: 309 DTGGLKWIQKAAAKDAGHPA---LALTDLDTWIKSPSLQEEVFGPFGIVVAYDSIAALLK 365 Query: 413 VAEHLEGQLTATLQLDEADIDSARALLPTLERKAGRILVNGWPTGVEVCDAMVHGGPFPA 472 A+ L+GQLT TL E+++ AL+ TL+ K GR+L G PTGVEV AM HGGPFPA Sbjct: 366 AAKTLQGQLTITLWASESELTDQAALINTLQDKCGRLLFGGVPTGVEVGHAMQHGGPFPA 425 Query: 473 TSDARTTSVGTAAILRFLRPVCYQDVPDALLPQALKHGNPLQLRRLLDGK 522 T+D+R+TSVG AI RF RP YQ+ PD LLP+ LK NPL + R +DG+ Sbjct: 426 TTDSRSTSVGVYAIKRFARPFAYQNCPDGLLPKELKEANPLDIIRTVDGE 475 Lambda K H 0.319 0.134 0.391 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: 686 Number of extensions: 37 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: 525 Length of database: 478 Length adjustment: 34 Effective length of query: 491 Effective length of database: 444 Effective search space: 218004 Effective search space used: 218004 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: 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