WDRR: WD40 Repeat Recognition
[HOME]   [JOB LIST]   [PRE-CALCULATED RESULTS]   [VISITORS]   [ABOUT]

Pre-calculated Results - Accession: ENSMUSP00000118450    [Mus musculus]

[Download result as txt]    [Query sequence in FASTA]
Input parameters:
  Query = ENSMUSP00000118450 (Len=173)
  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 (ENSMUSP00000118450, Len=173):
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
                       10        20        30        40        50        60        70        80
               ....*....|....*....|....*....|....*....|....*....|....*....|....*....|....*....|
Query        1 MSFRKVVRQSKFRHVFGQPVKNDQCYEDIRVSRVTWDSTFCAVNPKFLAVIVEASGGGAFMVLPLNKTGRIDKAYPTVCG 80  
WD40-rpts                                 (________________WD 1_______________)       (________

Query       81 HTGPVLDIDWCPHNDEVIASGSEDCTVMVWQIPENGLTSPLTEPVVVLEGHTKRVGIITWHPTARNVLLSAGCDNVVLIW 160 
WD40-rpts      _________WD 2_________________)          (_________________WD 3_________________

Query      161 NVGTAEELYRLDS 173 
WD40-rpts      )            



3 WD40-repeats found in QUERY=ENSMUSP00000118450 (Len=173):
(Red - Z-score>4.0)
  Rpts  Segment   Boundary  Z-score   Score  P-value  Identities  SS-score
  WD 1:  Seg  4    28-64       3.05  240.61  0.03505       20.0%     43.40
  WD 2:  Seg  8    72-111      7.50  424.53  0.00012       35.0%     49.67
  WD 3:  Seg 12   122-161      6.55  385.04  0.00040       27.5%     49.13
Multiple sequence alignment of 3 WD40-repeats:
(BLUE - beta-strands, RED - alpha-helices, predicted by PSIPRED)
   WD 1   28-64     DIR----VSRVTWDSTFCAVNP-KFLAV-IVEASGGGAFMVLP
   WD 2   72-111    -DKAYPTVCGHTGPVLDIDWCPHN-DEV-IASGSEDCTVMVWQ
   WD 3  122-161    -TEPVVVLEGHTKRVGIITWHP-T-ARNVLLSAGCDNVVLIWN

   WD40 Template    TGECLRTLSGHTSGVTSVSFSP-D-GKR-LVSGSEDGTIKVWD


Copyright © 2012-2015 Ziding Zhang's Lab, China Agricultural University
Powered and maintained by Chuan Wang
Last modified: 09 Jan 2019