WDRR: WD40 Repeat Recognition
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Pre-calculated Results - Accession: ENSP00000396295    [Homo sapiens]

[Download result as txt]    [Query sequence in FASTA]
Input parameters:
  Query = ENSP00000396295 (Len=189)
  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 (ENSP00000396295, Len=189):
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
                       10        20        30        40        50        60        70        80
               ....*....|....*....|....*....|....*....|....*....|....*....|....*....|....*....|
Query        1 XIHVLKGIRGTEGHQGPLTCVAANQDGSLILTGSVDCQAKLVSATTGKVVGVFRPETVASQPSLGEGEESESNSVESLGF 80  
WD40-rpts         (_________________WD 1_________________)          (_____________________WD 2_

Query       81 CSVMPLAAVGYLDGTLAIYDLATQTLRHQCQHQSGIVQLLWEAGTAVVYTCSLDGIVRLWDARTGRLLTDYRGHTAEILD 160 
WD40-rpts      ___________________)(__________________WD 3_________________)   (_______________

Query      161 FALSKDASLVVTTSGDHKAKVFCVQRPDR 189 
WD40-rpts      __WD 4________________)      



4 WD40-repeats found in QUERY=ENSP00000396295 (Len=189):
(Red - Z-score>4.0)
  Rpts  Segment   Boundary  Z-score   Score  P-value  Identities  SS-score
  WD 1:  Seg  1     4-43       9.84  520.97  5.9e-06       27.5%     49.80
  WD 2:  Seg  6    54-100      8.23  454.81  4.6e-05       22.5%     44.81
  WD 3:  Seg  9   101-141      8.79  477.83  2.3e-05       25.0%     53.58
  WD 4:  Seg 13   145-183      9.62  512.22  7.8e-06       30.0%     53.73
Multiple sequence alignment of 4 WD40-repeats:
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
   WD 1    4-43     VL-KGIRG-------TEGHQGPLTCVAANQDGSLILTGSVDCQAKLVS
   WD 2   54-100    RP-ETVASQPSLGEGEESESNSVESLGFCSVMPLAAVGYLDGTLAIYD
   WD 3  101-141    LATQTLRH-------QCQHQSGIVQLLWEAGTAVVYTCSLDGIVRLWD
   WD 4  145-183    -G-RLLTD-------YRGHTAEILDFALSKDASLVVTTSGDHKAKVFC

   WD40 Template    TG-ECLRT-------LSGHTSGVTSVSFSPDGKRLVSGSEDGTIKVWD


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Last modified: 09 Jan 2019