YRC Logo
PROTEIN SEARCH:
Descriptions Names[Advanced Search]

View Philius Transmembrane Prediction Details

Prediction Overview

Protein: EPHA7_CHICK
Protein type: Transmembrane with Signal Peptide
Type Confidence: 0.99
Topology Confidence: 0.90
From Publication: Reynolds et al. (2008)


Predicted Protein Segments [Show List]:

Prediction Image Map

(Place mouse over segments for confidence values.)


Philius confidence legend

Prediction Sequence Map

Legend: Transmembrane Helix, Non-Cytoplasmic, Cytoplasmic, Signal Peptide

(Place mouse over sequence for confidence values.)

      1          11         21         31         41         51         
      |          |          |          |          |          |          
    1 MVLRSRLPPW IMLCSVWLLR FAHTGEAQAA KEVILLDSKA QQTELEWISS PPNGWEEISG  60
   61 LDENYTPIRT YQVCQVMESN QNNWLRTNWI AKSNAQRIFV ELKFTLRDCN SLPGVLGTCK 120
  121 ETFNLYYYET DYDTGRNIRE NQYVKIDTIA ADESFTQGDL GERKMKLNTE VREIGPLSKK 180
  181 GFYLAFQDVG ACIALVSVKV YYKKCWSIIE NLAIFPDTVT GSEFSSLVEV RGTCVSSAEE 240
  241 EAENSPKMHC SAEGEWLVPI GKCICKAGYQ QKGDTCEPCG RGFYKSSSQD LQCSRCPTHS 300
  301 FSDKEGSSRC DCEDSYYRAP SDPPYVACTR PPSAPQNLIF NINQTTVSLE WSPPADNGGR 360
  361 NDVTYRILCK RCSWEQGECV PCGSNIGYMP QQTGLVDNYV TVMDLLAHAN YTFEVEAVNG 420
  421 VSDLSRSQRL FAAVSITTGQ AAPSQVSGVM KERVLQRSVE LSWQEPEHPN GVITEYEIKY 480
  481 YEKDQRERTY STVKTKSTSA SINNLKPGTV YVFQIRAFTA AGYGNYSPRL DVATLEEATA 540
  541 TAVSSEQNPV IIIAVVAVAG TIILVFMVFG FIIGRRHCGY SKADQEGDEE LYFHFKFPGT 600
  601 KTYIDPETYE DPNRAVHQFA KELDASCIKI ERVIGAGEFG EVCSGRLKLP GKRDVAVAIK 660
  661 TLKVGYTEKQ RRDFLCEASI MGQFDHPNVV HLEGVVTRGK PVMIVIEYME NGALDAFLRK 720
  721 HDGQFTVIQL VGMLRGIAAG MRYLADMGYV HRDLAARNIL VNSNLVCKVS DFGLSRVIED 780
  781 DPEAVYTTTG GKIPVRWTAP EAIQYRKFTS ASDVWSYGIV MWEVMSYGER PYWDMSNQDV 840
  841 IKAIEEGYRL PAPMDCPAGL HQLMLDCWQK ERGERPKFEQ IVGILDKMIR NPNSLKTPLG 900
  901 TCSRPISPLL DQNTPDFTTF CSVGEWLQAI KMERYKDNFT AAGYNSLESV ARMTIEDVMS 960
  961 LGITLVGHQK KIMSSIQTMR AQMLHLHGTG IQV

YRC Informatics Platform - Version 3.0
Created and Maintained by: Michael Riffle