cgd2_3560 | Protease PrsW

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0008233      

  • Computed_GO_Functions:  peptidase activity      

  • Computed_GO_Process_IDs:        

  • Computed_GO_Processes:        

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
cgd2_3560OTHER0.9993930.0000210.000587
No Results

  • Fasta :-

    >cgd2_3560 MRNTSSLLHNTSINNDPYHNSVVIDINHTNIGEYVQENKKYPSNSFIILILLISTIIIIN HGWYYGILLLIISISPGILIIYQFKKYIIEDEISIKTITDLFTFGAIISVSTTLLLEGLF FNYIFYFKNDNYNNYIDQFGCNIGFSLYILIILIKYIISIGIIEEACKLIGLLTIKPYIE DINYKESFISHYLKSNFGYVIAGISSSLGFAIIENIVYLSNSMESIIIMILVGIARGIIS IPFHIFASGYTSILFSRQIFIQNDYYSNNNNNNNNNNNYYYYYLIYILKQIIIKFLTLLP AGILHGIYDSSLILLVLINQNYNKDEILSYNLNSTCNLNTRILKLFLTLFPLKINKLFGS FKNQNLIENSFNNCFGTFFYNLITIGFFIFAILSYFICFFLFIYNWIYLEKQNSNRRIIT TTRTISRNNISNSINNINNTEIREIELTREQ
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/cgd2_3560.fa Sequence name : cgd2_3560 Sequence length : 451 VALUES OF COMPUTED PARAMETERS Coef20 : 3.547 CoefTot : -0.060 ChDiff : 1 ZoneTo : 15 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.788 2.788 0.570 1.011 MesoH : 0.855 1.411 0.042 0.587 MuHd_075 : 11.846 10.409 3.433 3.792 MuHd_095 : 17.409 11.266 4.865 3.266 MuHd_100 : 19.916 8.611 4.528 3.259 MuHd_105 : 22.989 8.609 4.856 4.093 Hmax_075 : 3.600 4.900 -0.727 3.020 Hmax_095 : -0.438 1.050 -2.698 1.400 Hmax_100 : 5.900 3.300 -1.158 2.220 Hmax_105 : 5.900 3.300 -1.158 2.220 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9003 0.0997 DFMC : 0.8715 0.1285
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 451 cgd2_3560 MRNTSSLLHNTSINNDPYHNSVVIDINHTNIGEYVQENKKYPSNSFIILILLISTIIIINHGWYYGILLLIISISPGILI 80 IYQFKKYIIEDEISIKTITDLFTFGAIISVSTTLLLEGLFFNYIFYFKNDNYNNYIDQFGCNIGFSLYILIILIKYIISI 160 GIIEEACKLIGLLTIKPYIEDINYKESFISHYLKSNFGYVIAGISSSLGFAIIENIVYLSNSMESIIIMILVGIARGIIS 240 IPFHIFASGYTSILFSRQIFIQNDYYSNNNNNNNNNNNYYYYYLIYILKQIIIKFLTLLPAGILHGIYDSSLILLVLINQ 320 NYNKDEILSYNLNSTCNLNTRILKLFLTLFPLKINKLFGSFKNQNLIENSFNNCFGTFFYNLITIGFFIFAILSYFICFF 400 LFIYNWIYLEKQNSNRRIITTTRTISRNNISNSINNINNTEIREIELTREQ 480 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................... 480 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ cgd2_3560 2 -----MR|NT 0.112 . cgd2_3560 39 EYVQENK|KY 0.054 . cgd2_3560 40 YVQENKK|YP 0.087 . cgd2_3560 85 LIIYQFK|KY 0.065 . cgd2_3560 86 IIYQFKK|YI 0.148 . cgd2_3560 96 EDEISIK|TI 0.065 . cgd2_3560 128 NYIFYFK|ND 0.053 . cgd2_3560 155 ILIILIK|YI 0.070 . cgd2_3560 168 IIEEACK|LI 0.060 . cgd2_3560 176 IGLLTIK|PY 0.058 . cgd2_3560 185 IEDINYK|ES 0.059 . cgd2_3560 194 FISHYLK|SN 0.095 . cgd2_3560 236 ILVGIAR|GI 0.111 . cgd2_3560 257 TSILFSR|QI 0.117 . cgd2_3560 289 YLIYILK|QI 0.066 . cgd2_3560 294 LKQIIIK|FL 0.066 . cgd2_3560 324 INQNYNK|DE 0.065 . cgd2_3560 341 TCNLNTR|IL 0.090 . cgd2_3560 344 LNTRILK|LF 0.090 . cgd2_3560 353 LTLFPLK|IN 0.054 . cgd2_3560 356 FPLKINK|LF 0.064 . cgd2_3560 362 KLFGSFK|NQ 0.071 . cgd2_3560 411 NWIYLEK|QN 0.063 . cgd2_3560 416 EKQNSNR|RI 0.105 . cgd2_3560 417 KQNSNRR|II 0.154 . cgd2_3560 423 RIITTTR|TI 0.091 . cgd2_3560 427 TTRTISR|NN 0.076 . cgd2_3560 443 INNTEIR|EI 0.120 . cgd2_3560 449 REIELTR|EQ 0.083 . ____________________________^_________________

  • Fasta :-

    >cgd2_3560 ATGAGAAATACAAGTTCTCTATTACATAATACTAGCATTAATAATGATCCATATCATAAT TCAGTAGTAATTGATATCAATCATACAAATATTGGAGAATATGTACAAGAAAATAAAAAA TATCCAAGTAATTCTTTTATTATATTAATCTTATTAATATCTACAATCATTATAATTAAT CATGGATGGTATTATGGAATTCTATTATTAATTATATCCATTTCTCCTGGAATATTAATA ATATATCAATTTAAAAAATATATTATAGAAGATGAAATTAGTATTAAAACTATTACAGAT TTATTCACTTTTGGTGCAATCATATCTGTATCTACTACATTATTACTTGAAGGATTATTT TTTAATTATATATTTTATTTTAAAAATGATAATTATAATAATTATATTGATCAATTTGGT TGTAATATTGGTTTTTCATTATATATATTAATTATTTTAATTAAATATATTATTTCTATT GGAATTATTGAAGAAGCATGTAAATTAATAGGATTATTAACTATTAAGCCTTATATTGAA GATATTAATTATAAAGAATCTTTTATTAGTCATTATTTAAAATCAAATTTTGGATATGTT ATTGCTGGTATTTCTTCTTCACTTGGATTTGCAATTATTGAAAATATTGTATATTTATCC AATTCTATGGAAAGTATTATTATCATGATTCTTGTTGGTATTGCTAGAGGTATTATTTCT ATTCCTTTTCATATATTTGCATCAGGATATACAAGTATATTATTTAGTAGACAAATTTTT ATACAAAATGATTATTATTCTAATAATAATAACAATAATAATAATAATAATAATTACTAT TATTATTACCTTATTTATATACTTAAACAAATTATTATTAAATTTCTAACCTTACTACCA GCTGGAATCTTACATGGAATTTATGATTCTAGTCTAATCTTACTAGTACTTATTAATCAA AATTATAATAAAGATGAAATACTTAGTTATAATTTAAATTCTACATGTAATTTAAATACA AGAATTCTTAAATTATTTCTAACTTTATTTCCATTAAAAATTAATAAATTATTTGGAAGT TTTAAAAATCAAAATCTTATAGAAAATTCATTCAATAATTGTTTTGGTACATTTTTTTAT AATTTAATTACTATTGGATTCTTCATATTTGCTATATTATCTTATTTTATATGTTTTTTT CTATTTATTTATAATTGGATTTATCTTGAAAAACAAAATTCTAATAGAAGAATAATAACA ACAACCAGAACAATTAGTAGAAATAATATCAGTAATAGTATTAATAATATCAATAATACT GAAATAAGAGAAATAGAACTTACAAGAGAACAATAA
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  • Fasta :-

    MRNTSSLLHNTSINNDPYHNSVVIDINHTNIGEYVQENKKYPSNSFIILILLISTIIIIN HGWYYGILLLIISISPGILIIYQFKKYIIEDEISIKTITDLFTFGAIISVSTTLLLEGLF FNYIFYFKNDNYNNYIDQFGCNIGFSLYILIILIKYIISIGIIEEACKLIGLLTIKPYIE DINYKESFISHYLKSNFGYVIAGISSSLGFAIIENIVYLSNSMESIIIMILVGIARGIIS IPFHIFASGYTSILFSRQIFIQNDYYSNNNNNNNNNNNYYYYYLIYILKQIIIKFLTLLP AGILHGIYDSSLILLVLINQNYNKDEILSYNLNSTCNLNTRILKLFLTLFPLKINKLFGS FKNQNLIENSFNNCFGTFFYNLITIGFFIFAILSYFICFFLFIYNWIYLEKQNSNRRIIT TTRTISRNNISNSINNINNTEIREIELTREQ

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cgd2_3560      



Dinesh Gupta lab Translational bioinformatics group, ICGEB, New Delhi, India