WDRR: WD40 Repeat Recognition
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Pre-calculated Results - Accession: ENSP00000400160    [Homo sapiens]

[Download result as txt]    [Query sequence in FASTA]
Input parameters:
  Query = ENSP00000400160 (Len=191)
  Tmplt = WD40-str (Len=40)
  Method = bdp  Gap-open = 50  Gap-extend = 3
  Database = /home/pub/blastdb/nr90  E-value = 0.001  Iteration = 3

Query sequence (ENSP00000400160, Len=191):
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
                       10        20        30        40        50        60        70        80
               ....*....|....*....|....*....|....*....|....*....|....*....|....*....|....*....|
Query        1 MTSVPVKERVKVSQNWRLGRCREGILLKWRCRQMPWMQLEDDSLYISQANFILAYQFRPDGASLNRRPLGVFAGHDEDVC 80  
WD40-rpts                          (________________WD 1_______________)         (_____________

Query       81 HFVLANSHIVSAGGDGKIGIHKIHSTFTVKYSAHEQEVNCVDCKGGIIVSGSRDRTAKVWPLASGRLGQCLHTIQTEDRV 160 
WD40-rpts      __WD 2_______________)(_________________WD 3________________)   (_______________

Query      161 WSIAISPLLSSFVTGTACCGHFSPLRIWDLN 191 
WD40-rpts      _____WD 4___________________)  



4 WD40-repeats found in QUERY=ENSP00000400160 (Len=191):
(Red - Z-score>4.0)
  Rpts  Segment   Boundary  Z-score   Score  P-value  Identities  SS-score
  WD 1:  Seg  2    21-57       4.02  280.72  0.01022        7.5%     44.98
  WD 2:  Seg  6    67-102      6.76  393.76  0.00031       25.0%     45.82
  WD 3:  Seg 10   103-141      7.00  404.01  0.00022       35.0%     44.10
  WD 4:  Seg 14   145-189      6.07  365.43  0.00074       25.0%     50.83
Multiple sequence alignment of 4 WD40-repeats:
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
   WD 1   21-57     -CREGI-LLKW--RCRQMPWMQLEDDS--LYISQ----ANFILAYQF
   WD 2   67-102    --RPLG-VFAG--HDEDVCH--FVLANSHIVSAG----GDGKIGIHK
   WD 3  103-141    IHSTFTVKYSA--HEQEVNCV--DCKGGIIVSGS----RDRTAKVWP
   WD 4  145-189    -GRLGQ-CLHTIQTEDRVWSIAISPLLSSFVTGTACCGHFSPLRIWD

   WD40 Template    TGECLR-TLSG--HTSGVTSVSFSPDGKRLVSGS----EDGTIKVWD


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Last modified: 09 Jan 2019