Align Glycine betaine/proline/choline/ectoine transporter VP1456 (characterized)
to candidate GFF5140 PS417_26330 beta-aspartyl peptidase
Query= SwissProt::Q87PP5 (562 letters) >FitnessBrowser__WCS417:GFF5140 Length = 663 Score = 344 bits (883), Expect = 5e-99 Identities = 193/504 (38%), Positives = 300/504 (59%), Gaps = 22/504 (4%) Query: 69 VFGISAGLVVFCLISLLLVEPVTARDALNGIKNGIIEQFDAFFMWSTNFFLLFAVGLLFS 128 VF S L++ L ++L++ P A L + + + F ++M +L+F VGL FS Sbjct: 20 VFYTSTALILL-LTAILIIAPQEAGRMLGVAQAWLSKSFGWYYMVVIAAYLVFVVGLAFS 78 Query: 129 PLGKIRLGGKEATPDHSTVSWLSMLFAAGMGIGLLFWSVAEPTAYFTDWWGTPLNAEAYS 188 GK++LG K+ TPD S +W MLF++G+GI LL++ +EP D + P A S Sbjct: 79 SYGKLKLGSKDDTPDFSYGAWAGMLFSSGIGISLLYFGASEPL----DHYFNPPEGAAAS 134 Query: 189 ADAKSLAMGATMFHWGVHGWSIYALVALALAFFAFNKGLPLSLRAAFYPIFGDRAW--GW 246 A A+ T HWG+HGW+IYALV LA+A+FA+ PL+LR+A YP+ G+R W G Sbjct: 135 NGAARQALQLTFLHWGLHGWAIYALVGLAVAYFAYRHNQPLALRSALYPLVGER-WVKGA 193 Query: 247 LGHVIDILAVLSTLFGLATSLGLGAQQATSGINHVFGLNGGIGTQMVVIAFVTFIAVLSV 306 GH +D + TL GL T+LG+G+ Q +SG+ ++FG+ ++VI ++ +A ++ Sbjct: 194 AGHAVDGFGMFVTLLGLVTNLGIGSMQVSSGLENLFGMEHSNTNLLIVIIVMSTVATIAA 253 Query: 307 VRGIDGGVKLLSNVNMIVAFALLIFIT-FITFDTAMGSLVDTTMAYIQNII----PLSNP 361 V G++ G++ LSN+N+++ LLIF+ F + LV T Y+ II L Sbjct: 254 VSGVENGIRRLSNLNIVLFSGLLIFVLLFGPTLHLLNGLVQNTGDYLNGIILKTFDLYVY 313 Query: 362 HGREDET--WMHGWTVFYWAWWVSWSPFVGMFIARVSKGRTVREFLFAVIVIPTLVTLVW 419 G D+T WM WT+FYWAWW+SW+PFVGMFIAR+S+GRTVRE + V++IP TL W Sbjct: 314 EGDADKTERWMGLWTLFYWAWWISWAPFVGMFIARISRGRTVRELVAGVLLIPLGFTLAW 373 Query: 420 MSVFGGIALDQVVNK-VGELGANGLTDISLTLFHVYDVLPYSSVISILSIVLILVFFITS 478 +S+FG ALD V+N+ LG L S+ ++ + + P S ++ +SI + V F+T Sbjct: 374 LSIFGNSALDLVLNQGAVALGKTALEQPSMAIYQLLEHYPASKIVIGVSIFVGFVLFLTP 433 Query: 479 SDSGSLVIDSITA-GGKIDAPVPQ--RIFWACIEGSIAAVMLWVGGKEALQALQSGVVAT 535 +DSG++++ +++ GG +D P RIFW+ + + +L+ G EA+Q + VV Sbjct: 434 ADSGAVMMANLSCKGGNVDEDAPHWLRIFWSAVITLVTIGLLFAGNFEAMQTM---VVLA 490 Query: 536 GLPFTFVLLLMCVSLVKGLRTELS 559 GLPF+ VL+ L K +R +++ Sbjct: 491 GLPFSVVLIFFMFGLHKAMRQDVA 514 Lambda K H 0.327 0.141 0.445 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: 974 Number of extensions: 52 Number of successful extensions: 7 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: 562 Length of database: 663 Length adjustment: 37 Effective length of query: 525 Effective length of database: 626 Effective search space: 328650 Effective search space used: 328650 Neighboring words threshold: 11 Window for multiple hits: 40 X1: 15 ( 7.1 bits) X2: 38 (14.6 bits) X3: 64 (24.7 bits) S1: 40 (21.7 bits) S2: 53 (25.0 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