• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0001509      GO:0008233      

  • Computed_GO_Functions:  obsolete legumain activity      peptidase activity      

  • Computed_GO_Process_IDs:  GO:0006508      

  • Computed_GO_Processes:  proteolysis      

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
EHI_092280SP0.0086980.9912590.000044CS pos: 14-15. CFG-IE. Pr: 0.4180
No Results
  • Fasta :-

    >EHI_092280 MNIIITLLLCFCFGIEQPQQNQAVVVNLSRYWLNYRHTNSGVLIYNTLKRLGYLDDQLLF FNADDHACHPRNVFPGEMRLNTNMPNIYKDIIIDYKGRDVSIEKYMRAMLGRDVKGTPDS LRLVRGERTFIYLIGHGGEGFMKFQNRDEITSYDIEYMFKEMEIMKRYKEVMFVVDTCQA TSLSDRIKAKNIITVGSSVTGQSSYSGYISNEIGAITSDLWDQHQDVLFQHSLNKESNMT VQDYLNYFNKNMLKSNHGWRSDLFNRPLSQVKMTDFLAYIPQSVEVDLNEIPWSDNIFN
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EHI_092280.fa Sequence name : EHI_092280 Sequence length : 299 VALUES OF COMPUTED PARAMETERS Coef20 : 3.892 CoefTot : -1.772 ChDiff : -4 ZoneTo : 54 KR : 4 DE : 1 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.218 1.782 0.246 0.622 MesoH : -0.866 0.105 -0.470 0.143 MuHd_075 : 34.544 22.360 7.828 7.677 MuHd_095 : 24.646 16.818 6.851 5.665 MuHd_100 : 30.868 16.556 7.516 7.096 MuHd_105 : 38.808 19.963 10.113 8.766 Hmax_075 : 8.867 8.400 0.044 3.267 Hmax_095 : 8.500 26.400 2.798 4.250 Hmax_100 : 8.500 24.500 0.229 4.420 Hmax_105 : 11.200 9.300 2.068 4.770 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7078 0.2922 DFMC : 0.8203 0.1797
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 299 EHI_092280 MNIIITLLLCFCFGIEQPQQNQAVVVNLSRYWLNYRHTNSGVLIYNTLKRLGYLDDQLLFFNADDHACHPRNVFPGEMRL 80 NTNMPNIYKDIIIDYKGRDVSIEKYMRAMLGRDVKGTPDSLRLVRGERTFIYLIGHGGEGFMKFQNRDEITSYDIEYMFK 160 EMEIMKRYKEVMFVVDTCQATSLSDRIKAKNIITVGSSVTGQSSYSGYISNEIGAITSDLWDQHQDVLFQHSLNKESNMT 240 VQDYLNYFNKNMLKSNHGWRSDLFNRPLSQVKMTDFLAYIPQSVEVDLNEIPWSDNIFN 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ........................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EHI_092280 30 VVVNLSR|YW 0.089 . EHI_092280 36 RYWLNYR|HT 0.085 . EHI_092280 49 LIYNTLK|RL 0.064 . EHI_092280 50 IYNTLKR|LG 0.105 . EHI_092280 71 DHACHPR|NV 0.242 . EHI_092280 79 VFPGEMR|LN 0.074 . EHI_092280 89 NMPNIYK|DI 0.067 . EHI_092280 96 DIIIDYK|GR 0.062 . EHI_092280 98 IIDYKGR|DV 0.188 . EHI_092280 104 RDVSIEK|YM 0.064 . EHI_092280 107 SIEKYMR|AM 0.069 . EHI_092280 112 MRAMLGR|DV 0.295 . EHI_092280 115 MLGRDVK|GT 0.176 . EHI_092280 122 GTPDSLR|LV 0.116 . EHI_092280 125 DSLRLVR|GE 0.167 . EHI_092280 128 RLVRGER|TF 0.166 . EHI_092280 143 GGEGFMK|FQ 0.073 . EHI_092280 147 FMKFQNR|DE 0.127 . EHI_092280 160 DIEYMFK|EM 0.061 . EHI_092280 166 KEMEIMK|RY 0.063 . EHI_092280 167 EMEIMKR|YK 0.186 . EHI_092280 169 EIMKRYK|EV 0.093 . EHI_092280 186 ATSLSDR|IK 0.104 . EHI_092280 188 SLSDRIK|AK 0.087 . EHI_092280 190 SDRIKAK|NI 0.110 . EHI_092280 235 FQHSLNK|ES 0.059 . EHI_092280 250 YLNYFNK|NM 0.070 . EHI_092280 254 FNKNMLK|SN 0.085 . EHI_092280 260 KSNHGWR|SD 0.145 . EHI_092280 266 RSDLFNR|PL 0.123 . EHI_092280 272 RPLSQVK|MT 0.062 . ____________________________^_________________
  • Fasta :-

    >EHI_092280 ATGAACATCATCATTACCTTGCTTTTGTGTTTTTGTTTTGGTATTGAACAACCACAACAA AATCAAGCAGTTGTCGTTAATTTATCAAGATATTGGTTAAATTATAGACATACTAACAGT GGAGTATTAATATATAATACATTAAAGAGATTAGGATATTTAGATGATCAATTATTATTT TTTAATGCTGACGACCACGCATGTCATCCAAGAAATGTATTTCCAGGAGAGATGAGACTA AATACAAACATGCCGAATATTTATAAAGATATTATTATTGATTATAAAGGAAGAGACGTT AGTATTGAAAAATATATGAGAGCAATGCTTGGAAGAGATGTCAAAGGAACTCCTGATAGT TTAAGACTTGTAAGAGGAGAAAGAACATTCATTTATTTGATTGGACATGGGGGAGAAGGA TTTATGAAGTTTCAAAATAGAGATGAAATTACATCATATGATATAGAATATATGTTTAAA GAAATGGAAATTATGAAACGATATAAAGAAGTTATGTTTGTGGTTGACACTTGTCAAGCC ACTAGTTTAAGTGATAGGATTAAAGCAAAAAATATTATTACCGTTGGAAGTAGTGTAACT GGTCAATCAAGTTATTCTGGTTATATTTCAAATGAAATTGGTGCTATTACATCAGACTTA TGGGACCAACACCAAGATGTATTATTCCAACATTCATTAAACAAAGAAAGTAATATGACT GTTCAAGATTATTTAAATTATTTTAATAAAAATATGCTTAAAAGTAATCATGGATGGAGA AGTGATTTATTCAATCGTCCATTAAGTCAAGTTAAAATGACCGATTTCCTTGCTTATATC CCACAATCAGTTGAAGTTGATTTAAATGAAATACCTTGGTCAGATAACATTTTTAATTAA
  • Download Fasta
  • Fasta :-

    MNIIITLLLCFCFGIEQPQQNQAVVVNLSRYWLNYRHTNSGVLIYNTLKRLGYLDDQLLF FNADDHACHPRNVFPGEMRLNTNMPNIYKDIIIDYKGRDVSIEKYMRAMLGRDVKGTPDS LRLVRGERTFIYLIGHGGEGFMKFQNRDEITSYDIEYMFKEMEIMKRYKEVMFVVDTCQA TSLSDRIKAKNIITVGSSVTGQSSYSGYISNEIGAITSDLWDQHQDVLFQHSLNKESNMT VQDYLNYFNKNMLKSNHGWRSDLFNRPLSQVKMTDFLAYIPQSVEVDLNEIPWSDNIFN

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EHI_092280      



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