Align BraC, component of General L- (and D-)amino acid uptake porter (transports acidic, basic, polar, semipolar and hydrophobic amino acids). The amino and carboxyl groups do not need to be α since γ-aminobutyric acid (GABA) is a substrate. The system may function with additional binding proteins since L-alanine uptake is not dependent on BraC (characterized)
to candidate GFF3112 HP15_3055 high-affinity leucine-specific leucine-specific-binding periplasmic protein of high-affinity branched-chain amino acid ABC transporter transport system periplasmic binding protein
Query= TCDB::Q9L3M3 (381 letters) >FitnessBrowser__Marino:GFF3112 Length = 370 Score = 277 bits (708), Expect = 4e-79 Identities = 147/357 (41%), Positives = 214/357 (59%), Gaps = 3/357 (0%) Query: 3 KSLLSAVALTAMLAFSGNAWADVLIAVAGPLTGPNAAFGAQLQKGAEQAAADINAAGGIN 62 K L++AV+ + L +G+A A++ I +AGP+TGP A +G GA A INA GG+ Sbjct: 6 KKLVTAVSTSVALMGAGHAAAEIQIGIAGPMTGPVAQYGDMQFSGARMAIEQINANGGVM 65 Query: 63 GEQIKIELGDDVSDPKQGISVANKFAADGVKFVIGHFNSGVSIPASEVYAENGILRNHPG 122 GE++ DDV DPKQ ++VAN DGV+FVIGH S + PAS++Y + GIL P Sbjct: 66 GEELVAVEYDDVCDPKQAVTVANSLVNDGVRFVIGHLCSSSTQPASDIYEDEGILMVTPA 125 Query: 123 RDEPDLHGTGLWNTFRTCGRDDQQGAIAGKYLADHFKDAKIAVVHDKTPYGQGLADETKK 182 P++ G FRT G D QG +A +Y+A ++A+VHDK YG+G+A + Sbjct: 126 STSPEITERGYELVFRTIGLDSMQGPVAARYIASQ-NPERVAIVHDKQQYGEGIATAVRD 184 Query: 183 AMNAAGVTEVIYEGINVGDKDFSALIAKMKEAGVSIIYWGGLHTEAGLIIRQAADQGLKA 242 + AGV ++EGI GDKDFS+L+ K+K+A V +Y+GG H E GLI+RQA L A Sbjct: 185 TLKDAGVEIAMFEGITAGDKDFSSLVTKLKQADVDYVYYGGYHPELGLILRQANSADLDA 244 Query: 243 TLVSGDGIVSNELASIAGDAVAGTLNTFGPDPTANPANKELVEKFKAAGFNPEA-YTLYS 301 + +G+ + ++ +IAG+A G L T P N+ LV+ F+ G +P + L S Sbjct: 245 RFMGPEGVGNKDINTIAGEAAEGLLVTLPPAFDQKAENQALVKAFEDKGEDPSGPFVLTS 304 Query: 302 YAAMQTIAGAAKAAGSLDPEAVAKAMKEKGPFPTVLGDISFDEKGDPKIPGYIMYEW 358 Y A+Q +A +AAGS DP VA A++E G F T +G + +D+ GD K +++YEW Sbjct: 305 YTAVQLVAEGIEAAGSTDPFDVAAALRE-GTFQTPIGTVEYDKAGDMKSFEFVVYEW 360 Lambda K H 0.314 0.132 0.383 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: 395 Number of extensions: 25 Number of successful extensions: 4 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: 381 Length of database: 370 Length adjustment: 30 Effective length of query: 351 Effective length of database: 340 Effective search space: 119340 Effective search space used: 119340 Neighboring words threshold: 11 Window for multiple hits: 40 X1: 16 ( 7.2 bits) X2: 38 (14.6 bits) X3: 64 (24.7 bits) S1: 42 (22.0 bits) S2: 50 (23.9 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