Align Alpha-ketoglutaric semialdehyde dehydrogenase; alphaKGSA dehydrogenase; 2,5-dioxovalerate dehydrogenase; EC 1.2.1.26 (characterized)
to candidate 5211158 Shew_3574 aldehyde dehydrogenase (RefSeq)
Query= SwissProt::P42236 (488 letters) >FitnessBrowser__PV4:5211158 Length = 506 Score = 283 bits (723), Expect = 1e-80 Identities = 176/470 (37%), Positives = 257/470 (54%), Gaps = 14/470 (2%) Query: 2 SVITEQNTYLNFINGEWVKSQSGDMVKVENPADVNDIVGYVQNSTAEDVERAVTAANEAK 61 +++ + Y NFI G+WV G+ +P D + V S D+E A+ AA+ AK Sbjct: 11 AIVNFNSRYDNFIGGQWVAPVGGEYFDNRSPVD-GQVFCQVARSDERDIELALDAAHAAK 69 Query: 62 TAWRKLTGAERGQYLYKTADIMEQRLEEIAACATREMGKTLPEA-KGETARGIAILRYYA 120 AW K + ER L K AD +EQ LE +A T E GK + E + + RY+A Sbjct: 70 DAWGKTSVTERSNLLLKIADRVEQNLEFLAVAETWENGKAVRETLNADLPLFVDHFRYFA 129 Query: 121 GEGMRKTGDVIPSTDKDALMFTTRVPLGVVGVISPWNFPVAIPIWKMAPALVYGNTVVIK 180 G + G D + + + PLGVVG I PWNFP+ + WK+APAL GN +V+K Sbjct: 130 GCIRAQEGSAA-DIDNNTVSYHFPEPLGVVGQIIPWNFPLLMAAWKIAPALAAGNCIVLK 188 Query: 181 PATETAVTCAKIIACFEEAGLPAGVINLVTGPGSVVGQGLAEHDGVNAVTFTGSNQVGKI 240 PA +T V+ ++ ++ LPAGV+N+V G G+ GQ LA + + FTGS Q+G Sbjct: 189 PAEQTPVSILVMVELIQDL-LPAGVLNIVNGFGTEAGQALAVSKRIAKLAFTGSTQIGHH 247 Query: 241 IGQAALARGAKYQLEMGGKNP------VIVADDADLEAAAEAVITGAFRSTGQKCTATSR 294 I + A +E+GGK+P V+ +D L+ A E ++ AF + G+ CT SR Sbjct: 248 ILKCAAESLIPSTVELGGKSPNIYFADVMEQEDEYLDKAVEGMLL-AFFNQGEVCTCPSR 306 Query: 295 VIVQSGIYERFKEKLLQRTKDITIGDSLKEDVWMGPIASKNQLDNCLSYIEKGKQEGASL 354 V++ IY++F +K++ R K I G+ L D +G AS+ Q D LSY+E G+ EGA + Sbjct: 307 VLIAESIYDKFIDKVIARAKTIKQGNPLDTDTQVGAQASQEQFDKILSYLEIGRNEGAEV 366 Query: 355 LIGGEKLE-NGKYQNGYYVQPAIFDNVTSEMTIAQEEIFGPVIALIKVDSIEEALNIAND 413 LIGG + +G +G+Y++P I ++M + QEEIFGPVI++ EAL IAND Sbjct: 367 LIGGTSCQLSGDQSSGFYIEPTILKG-HNKMRVFQEEIFGPVISVTTFKDEAEALAIAND 425 Query: 414 VKFGLSASIFTENIGRMLSFIDEIDAGLVRINAESAGVELQAPFGGMKQS 463 ++GL A ++T ++ R I AG V IN A A FGG K+S Sbjct: 426 TEYGLGAGVWTRDMNRAQRMGRGIQAGRVWINCYHA-YPAHAAFGGYKKS 474 Lambda K H 0.315 0.132 0.374 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: 562 Number of extensions: 25 Number of successful extensions: 6 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: 488 Length of database: 506 Length adjustment: 34 Effective length of query: 454 Effective length of database: 472 Effective search space: 214288 Effective search space used: 214288 Neighboring words threshold: 11 Window for multiple hits: 40 X1: 16 ( 7.3 bits) X2: 38 (14.6 bits) X3: 64 (24.7 bits) S1: 41 (21.5 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