Align Concentrative nucleoside transporter, CNT, of 418 aas and 12 TMSs. A repeat-swapped model of VcCNT predicts that nucleoside transport occurs via a mechanism involving an elevator-like substrate binding domain movement across the membrane (characterized)
to candidate 7023819 Shewana3_1039 Na+ dependent nucleoside transporter (RefSeq)
Query= TCDB::Q9KPL5 (418 letters) >FitnessBrowser__ANA3:7023819 Length = 419 Score = 565 bits (1457), Expect = e-166 Identities = 290/426 (68%), Positives = 349/426 (81%), Gaps = 17/426 (3%) Query: 1 MSLFMSLIGMAVLLGIAVLLSSNRKAINLRTVGGAFAIQFSLGAFILYVPWGQELLRGFS 60 M++ MSL+G+ VLL I LLS+N+KAINLRTVGGA AIQ + G F+LYVP G+++L+ S Sbjct: 1 MNILMSLVGVVVLLAIGFLLSNNKKAINLRTVGGALAIQAAFGGFVLYVPVGKDILKSVS 60 Query: 61 DAVSNVINYGNDGTSFLFGGLVSGKMFEVFGGGGFIFAFRVLPTLIFFSALISVLYYLGV 120 DAVS+VI Y +G FLFG L + K+ GFIFA VLP ++FFS+LI+VLYYLG+ Sbjct: 61 DAVSSVIGYAQNGIGFLFGDLANFKL-------GFIFAVNVLPVIVFFSSLIAVLYYLGI 113 Query: 121 MQWVIRILGGGLQKALGTSRAESMSAAANIFVGQTEAPLVVRPFVPKMTQSELFAVMCGG 180 MQW+IRI+GGGLQKALGTSR ESMSA ANIFVGQTEAPLVVRPF+P MTQSELFA+M GG Sbjct: 114 MQWIIRIIGGGLQKALGTSRTESMSATANIFVGQTEAPLVVRPFIPTMTQSELFAIMVGG 173 Query: 181 LASIAGGVLAGYASMGVKIEYLVAASFMAAPGGLLFAKLMMPETEKPQDNEDITLDGGDD 240 LASIAG VLAGYA MGV IEYLVAASFMAAPGGLL AKLM PETE +++ D L D Sbjct: 174 LASIAGSVLAGYAQMGVPIEYLVAASFMAAPGGLLMAKLMHPETEVAKNDMD-ELPEDPD 232 Query: 241 KPANVIDAAAGGASAGLQLALNVGAMLIAFIGLIALINGMLGGIGGWFGMPELKLEMLLG 300 KPANV+DAAA GAS+G+ LALNVGAML+AF+GLIA+ING++GG+GGWFG+ L LE++LG Sbjct: 233 KPANVLDAAAAGASSGMHLALNVGAMLLAFVGLIAMINGIIGGVGGWFGVEGLTLELILG 292 Query: 301 WLFAPLAFLIGVPWNEATVAGEFIGLKTVANEFVAYSQFAPYLTEAAP---------VVL 351 ++F PLAFLIGVPWNEA VAG FIG K V NEFVAY FAPYL + A + + Sbjct: 293 YIFMPLAFLIGVPWNEALVAGSFIGQKIVVNEFVAYLNFAPYLKDIADGGMIVADTGLAM 352 Query: 352 SEKTKAIISFALCGFANLSSIAILLGGLGSLAPKRRGDIARMGVKAVIAGTLSNLMAATI 411 +++TKAIISFALCGFANLSSIAILLGGLG++AP RR D+A++G++AVIAG+L+NLM+ATI Sbjct: 353 TDRTKAIISFALCGFANLSSIAILLGGLGAMAPNRRHDLAKLGIRAVIAGSLANLMSATI 412 Query: 412 AGFFLS 417 AG FL+ Sbjct: 413 AGLFLA 418 Lambda K H 0.325 0.141 0.414 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: 666 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: 418 Length of database: 419 Length adjustment: 32 Effective length of query: 386 Effective length of database: 387 Effective search space: 149382 Effective search space used: 149382 Neighboring words threshold: 11 Window for multiple hits: 40 X1: 15 ( 7.0 bits) X2: 38 (14.6 bits) X3: 64 (24.7 bits) S1: 40 (21.6 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