EDI_305430 | hypothetical protein, conserved

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_IDPredictionOTHERSPmTPCS_Position
EDI_305430OTHER0.9999630.0000290.000008
No Results

  • Fasta :-

    >EDI_305430 MNEVIDVDEYEQAPDFVFYNDPCCFRTTEEIIGVEDFEEGEDELKELNKTKENYFIIETT GFGMFNYDGLQLTEDITYFKIHFKEAVDYIKSIIQLDIIDIQDVFQNINKMIFRGHITNT VIEWSKRMTLCAGICYGKNSGCIIRLSEGILKYRSIQDVVTTIVHESIHAFLFRTKTRDD DSHGVRFHQWMTVINEKTPLHVTVYHTFYEECKNLHKHIWRCTGPCRNKPPFYGYVKRSM NRAPGPTDRWYEQHKKNCDGHFVKIDGPEFHEETLPKKQKRKERKPHNKKEVRSKDLKDM FNEIKKKKQ
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EDI_305430.fa Sequence name : EDI_305430 Sequence length : 309 VALUES OF COMPUTED PARAMETERS Coef20 : 2.824 CoefTot : -0.134 ChDiff : -1 ZoneTo : 2 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.800 1.006 0.251 0.446 MesoH : -0.813 0.312 -0.395 0.206 MuHd_075 : 8.889 5.842 3.530 1.808 MuHd_095 : 14.692 8.752 3.116 2.040 MuHd_100 : 2.330 2.941 1.428 1.046 MuHd_105 : 18.588 13.424 5.803 3.831 Hmax_075 : 3.033 9.567 -0.591 4.317 Hmax_095 : -2.363 4.113 -3.257 2.266 Hmax_100 : -5.300 2.900 -3.713 2.300 Hmax_105 : 6.500 12.200 -0.167 4.520 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9018 0.0982 DFMC : 0.9544 0.0456
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 309 EDI_305430 MNEVIDVDEYEQAPDFVFYNDPCCFRTTEEIIGVEDFEEGEDELKELNKTKENYFIIETTGFGMFNYDGLQLTEDITYFK 80 IHFKEAVDYIKSIIQLDIIDIQDVFQNINKMIFRGHITNTVIEWSKRMTLCAGICYGKNSGCIIRLSEGILKYRSIQDVV 160 TTIVHESIHAFLFRTKTRDDDSHGVRFHQWMTVINEKTPLHVTVYHTFYEECKNLHKHIWRCTGPCRNKPPFYGYVKRSM 240 NRAPGPTDRWYEQHKKNCDGHFVKIDGPEFHEETLPKKQKRKERKPHNKKEVRSKDLKDMFNEIKKKKQ 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ..................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EDI_305430 26 NDPCCFR|TT 0.099 . EDI_305430 45 EGEDELK|EL 0.056 . EDI_305430 49 ELKELNK|TK 0.064 . EDI_305430 51 KELNKTK|EN 0.076 . EDI_305430 80 EDITYFK|IH 0.058 . EDI_305430 84 YFKIHFK|EA 0.075 . EDI_305430 91 EAVDYIK|SI 0.076 . EDI_305430 110 VFQNINK|MI 0.071 . EDI_305430 114 INKMIFR|GH 0.101 . EDI_305430 126 TVIEWSK|RM 0.054 . EDI_305430 127 VIEWSKR|MT 0.170 . EDI_305430 138 AGICYGK|NS 0.065 . EDI_305430 145 NSGCIIR|LS 0.103 . EDI_305430 152 LSEGILK|YR 0.064 . EDI_305430 154 EGILKYR|SI 0.179 . EDI_305430 174 IHAFLFR|TK 0.095 . EDI_305430 176 AFLFRTK|TR 0.059 . EDI_305430 178 LFRTKTR|DD 0.143 . EDI_305430 186 DDSHGVR|FH 0.095 . EDI_305430 197 MTVINEK|TP 0.057 . EDI_305430 213 TFYEECK|NL 0.068 . EDI_305430 217 ECKNLHK|HI 0.062 . EDI_305430 221 LHKHIWR|CT 0.144 . EDI_305430 227 RCTGPCR|NK 0.075 . EDI_305430 229 TGPCRNK|PP 0.058 . EDI_305430 237 PFYGYVK|RS 0.055 . EDI_305430 238 FYGYVKR|SM 0.279 . EDI_305430 242 VKRSMNR|AP 0.101 . EDI_305430 249 APGPTDR|WY 0.128 . EDI_305430 255 RWYEQHK|KN 0.074 . EDI_305430 256 WYEQHKK|NC 0.104 . EDI_305430 264 CDGHFVK|ID 0.085 . EDI_305430 277 HEETLPK|KQ 0.067 . EDI_305430 278 EETLPKK|QK 0.088 . EDI_305430 280 TLPKKQK|RK 0.077 . EDI_305430 281 LPKKQKR|KE 0.210 . EDI_305430 282 PKKQKRK|ER 0.087 . EDI_305430 284 KQKRKER|KP 0.277 . EDI_305430 285 QKRKERK|PH 0.123 . EDI_305430 289 ERKPHNK|KE 0.066 . EDI_305430 290 RKPHNKK|EV 0.113 . EDI_305430 293 HNKKEVR|SK 0.137 . EDI_305430 295 KKEVRSK|DL 0.109 . EDI_305430 298 VRSKDLK|DM 0.084 . EDI_305430 305 DMFNEIK|KK 0.062 . EDI_305430 306 MFNEIKK|KK 0.089 . EDI_305430 307 FNEIKKK|KQ 0.098 . EDI_305430 308 NEIKKKK|Q- 0.125 . ____________________________^_________________

  • Fasta :-

    >EDI_305430 ATGAACGAAGTCATTGATGTTGATGAATATGAACAAGCACCAGATTTTGTGTTTTATAAT GACCCTTGTTGTTTTCGTACAACCGAAGAAATAATTGGAGTTGAAGATTTTGAAGAAGGT GAAGATGAGTTAAAAGAATTAAATAAAACCAAAGAAAATTATTTTATTATAGAAACTACT GGGTTTGGTATGTTTAATTATGATGGACTACAACTAACAGAAGATATCACATACTTTAAA ATACATTTTAAAGAAGCAGTGGATTATATTAAGTCAATTATTCAACTAGATATTATTGAC ATTCAAGACGTATTTCAAAATATTAATAAAATGATTTTTAGAGGACATATAACAAATACT GTCATCGAGTGGTCAAAGAGAATGACTCTATGTGCTGGAATATGTTATGGTAAAAATAGT GGGTGTATTATTCGTTTGTCTGAAGGGATATTAAAATATCGAAGTATTCAAGACGTTGTT ACAACTATCGTACATGAAAGTATTCATGCGTTTTTGTTTAGAACAAAAACAAGGGATGAC GATTCACATGGAGTTCGGTTTCATCAGTGGATGACAGTTATTAATGAAAAAACCCCATTA CATGTTACTGTTTATCATACGTTCTACGAAGAATGTAAAAATTTACATAAACACATTTGG AGATGTACTGGTCCTTGTAGAAATAAACCACCATTCTATGGGTACGTTAAAAGATCAATG AACAGAGCCCCAGGGCCAACAGATAGATGGTATGAACAACATAAAAAAAATTGTGATGGT CATTTTGTTAAAATTGATGGACCAGAGTTTCATGAAGAAACATTGCCAAAAAAACAAAAA AGAAAAGAAAGAAAGCCACACAATAAAAAAGAAGTTAGAAGTAAAGATTTAAAAGATATG TTTAATGAAATTAAAAAGAAAAAACAATAA
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  • Fasta :-

    MNEVIDVDEYEQAPDFVFYNDPCCFRTTEEIIGVEDFEEGEDELKELNKTKENYFIIETT GFGMFNYDGLQLTEDITYFKIHFKEAVDYIKSIIQLDIIDIQDVFQNINKMIFRGHITNT VIEWSKRMTLCAGICYGKNSGCIIRLSEGILKYRSIQDVVTTIVHESIHAFLFRTKTRDD DSHGVRFHQWMTVINEKTPLHVTVYHTFYEECKNLHKHIWRCTGPCRNKPPFYGYVKRSM NRAPGPTDRWYEQHKKNCDGHFVKIDGPEFHEETLPKKQKRKERKPHNKKEVRSKDLKDM FNEIKKKKQ

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EDI_305430      



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