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No Results
No Results
  • Fasta :-

    >ETH_00000920 MDAASSASFWTFSASMASSGAHTSYAFAGGERALEELRCGASSAAVWFCFLGDFDSGASR VYGFPVRLAAAGSSSSSSNGSSSNGSSSNGSSSSKKRLRISLDLALAPREPLFLALQNVD GTQAVPAAAAAPAAAAAAAAAAAAAPQPFLAIQNPTQAPPLLNGGALLLVHPDDIAVPPS AAAAAAAAEAAAAAGEKPECANGATPLEEAAAAAAAAEAAQQKASLESREGQRPTKRPRA FTPAAAPAATPAAAPAADGEAAAAAAKPEAVDAAGEVKAGAATAAAAPAAAAAGPESEAA KSLDGKPPAATTAATAAAAAAKKVDLTLEEELQKERMRKRTAGIICFRWDKKGQRLLLSN ARGIWACDAPMALQPLLQQTSLPPSNSAAAAAAEQDSPSSLSAQVLALRNLVQQQPAAAS AAAAAAAGSPSSSSSGPREQPQPASPAPPPAAATAAAAAAAAAKEAWIHPSGRFGCSPAA VCILERSPHEPPVLDCTCSSGTQQNR
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/ETH_00000920.fa Sequence name : ETH_00000920 Sequence length : 506 VALUES OF COMPUTED PARAMETERS Coef20 : 4.739 CoefTot : 0.640 ChDiff : -3 ZoneTo : 30 KR : 0 DE : 1 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.535 1.600 0.225 0.591 MesoH : 0.567 0.828 -0.090 0.426 MuHd_075 : 8.328 9.300 2.328 2.936 MuHd_095 : 12.186 9.885 3.645 3.354 MuHd_100 : 10.331 8.639 3.104 2.857 MuHd_105 : 10.177 9.309 3.318 2.585 Hmax_075 : 10.600 9.700 0.871 4.500 Hmax_095 : 17.000 7.962 1.265 3.850 Hmax_100 : 14.200 4.800 1.215 3.390 Hmax_105 : 12.483 10.733 1.605 3.520 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9301 0.0699 DFMC : 0.8455 0.1545
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 506 ETH_00000920 MDAASSASFWTFSASMASSGAHTSYAFAGGERALEELRCGASSAAVWFCFLGDFDSGASRVYGFPVRLAAAGSSSSSSNG 80 SSSNGSSSNGSSSSKKRLRISLDLALAPREPLFLALQNVDGTQAVPAAAAAPAAAAAAAAAAAAAPQPFLAIQNPTQAPP 160 LLNGGALLLVHPDDIAVPPSAAAAAAAAEAAAAAGEKPECANGATPLEEAAAAAAAAEAAQQKASLESREGQRPTKRPRA 240 FTPAAAPAATPAAAPAADGEAAAAAAKPEAVDAAGEVKAGAATAAAAPAAAAAGPESEAAKSLDGKPPAATTAATAAAAA 320 AKKVDLTLEEELQKERMRKRTAGIICFRWDKKGQRLLLSNARGIWACDAPMALQPLLQQTSLPPSNSAAAAAAEQDSPSS 400 LSAQVLALRNLVQQQPAAASAAAAAAAGSPSSSSSGPREQPQPASPAPPPAAATAAAAAAAAAKEAWIHPSGRFGCSPAA 480 VCILERSPHEPPVLDCTCSSGTQQNR 560 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 .......................... 560 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ ETH_00000920 32 AFAGGER|AL 0.089 . ETH_00000920 38 RALEELR|CG 0.065 . ETH_00000920 60 FDSGASR|VY 0.084 . ETH_00000920 67 VYGFPVR|LA 0.089 . ETH_00000920 95 NGSSSSK|KR 0.060 . ETH_00000920 96 GSSSSKK|RL 0.154 . ETH_00000920 97 SSSSKKR|LR 0.192 . ETH_00000920 99 SSKKRLR|IS 0.087 . ETH_00000920 109 DLALAPR|EP 0.066 . ETH_00000920 197 AAAAGEK|PE 0.066 . ETH_00000920 223 AEAAQQK|AS 0.068 . ETH_00000920 229 KASLESR|EG 0.080 . ETH_00000920 233 ESREGQR|PT 0.077 . ETH_00000920 236 EGQRPTK|RP 0.103 . ETH_00000920 237 GQRPTKR|PR 0.130 . ETH_00000920 239 RPTKRPR|AF 0.112 . ETH_00000920 267 AAAAAAK|PE 0.060 . ETH_00000920 278 DAAGEVK|AG 0.060 . ETH_00000920 301 PESEAAK|SL 0.134 . ETH_00000920 306 AKSLDGK|PP 0.067 . ETH_00000920 322 AAAAAAK|KV 0.088 . ETH_00000920 323 AAAAAKK|VD 0.085 . ETH_00000920 334 LEEELQK|ER 0.057 . ETH_00000920 336 EELQKER|MR 0.066 . ETH_00000920 338 LQKERMR|KR 0.101 . ETH_00000920 339 QKERMRK|RT 0.252 . ETH_00000920 340 KERMRKR|TA 0.346 . ETH_00000920 348 AGIICFR|WD 0.093 . ETH_00000920 351 ICFRWDK|KG 0.087 . ETH_00000920 352 CFRWDKK|GQ 0.088 . ETH_00000920 355 WDKKGQR|LL 0.073 . ETH_00000920 362 LLLSNAR|GI 0.096 . ETH_00000920 409 AQVLALR|NL 0.083 . ETH_00000920 438 SSSSGPR|EQ 0.089 . ETH_00000920 464 AAAAAAK|EA 0.081 . ETH_00000920 473 WIHPSGR|FG 0.094 . ETH_00000920 486 AVCILER|SP 0.092 . ETH_00000920 506 SGTQQNR|-- 0.095 . ____________________________^_________________
  • Fasta :-

    >ETH_00000920 ATGGATGCTGCTTCTTCCGCTTCCTTTTGGACATTTTCCGCCTCCATGGCGTCGTCGGGG GCCCATACCTCATACGCATTTGCAGGGGGGGAGCGCGCACTGGAGGAGCTGCGCTGCGGG GCCTCTTCAGCTGCTGTTTGGTTTTGCTTCCTGGGGGACTTCGACTCGGGGGCTTCTCGG GTCTACGGCTTCCCTGTGCGGCTTGCTGCTGCAGGCAGCAGCAGCAGCAGCAGCAACGGC AGCAGCAGCAACGGCAGCAGCAGCAACGGCAGCAGCAGCAGCAAGAAGAGGCTGAGGATA TCGCTGGATTTGGCCCTTGCGCCTAGAGAGCCTCTCTTTCTAGCGCTGCAGAACGTAGAC GGGACGCAGGCCGTGCCTGCAGCAGCAGCAGCACCAGCTGCAGCAGCAGCAGCAGCAGCT GCTGCTGCTGCTGCGCCGCAGCCTTTCCTGGCCATACAAAACCCCACACAGGCGCCACCG CTGCTGAACGGCGGCGCTTTGCTGCTCGTACACCCCGACGACATCGCAGTGCCCCCGTCA GCAGCAGCAGCAGCAGCAGCAGCAGAAGCAGCAGCAGCAGCAGGAGAGAAGCCCGAATGT GCAAATGGGGCCACGCCGCTGGAAGAGGCCGCTGCTGCTGCTGCTGCTGCAGAAGCAGCG CAGCAGAAGGCCTCTTTAGAAAGTCGAGAGGGCCAAAGGCCCACAAAGAGGCCCAGAGCC TTCACACCTGCTGCTGCTCCTGCTGCCACTCCTGCTGCTGCTCCTGCTGCTGACGGCGAG GCAGCAGCAGCAGCAGCAAAACCGGAAGCAGTAGATGCAGCAGGAGAGGTTAAAGCGGGC GCAGCAACAGCAGCAGCAGCACCAGCTGCTGCTGCTGCTGGGCCAGAAAGTGAGGCGGCG AAGTCGTTGGATGGAAAGCCACCAGCAGCAACAACAGCAGCAACAGCAGCAGCAGCAGCA GCAAAGAAGGTGGACTTGACCCTGGAGGAAGAGCTTCAGAAGGAACGCATGCGCAAAAGA ACAGCAGGCATTATTTGCTTCCGATGGGACAAAAAGGGGCAGCGGCTGCTGCTCTCCAAT GCTAGGGGTATTTGGGCATGCGATGCTCCTATGGCGCTGCAGCCGCTGCTGCAGCAAACC TCGTTGCCCCCTTCAAACTCAGCAGCAGCAGCAGCAGCAGAGCAGGACAGCCCCTCCAGC CTCTCTGCACAGGTTCTGGCACTACGGAACCTTGTGCAGCAGCAGCCTGCTGCTGCGTCT GCTGCTGCTGCTGCCGCCGCTGGCTCTCCAAGCTCCAGCAGCAGCGGCCCCAGGGAGCAG CCGCAGCCCGCCTCTCCTGCTCCACCCCCAGCAGCAGCAACAGCAGCAGCAGCAGCAGCA GCAGCAGCAAAGGAGGCCTGGATCCACCCCAGCGGCCGCTTCGGATGTTCTCCTGCTGCT GTTTGCATTTTAGAAAGAAGTCCCCACGAGCCTCCGGTGCTGGACTGTACCTGCAGCAGC GGCACTCAGCAAAACCGCTAA
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  • Fasta :-

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
ETH_0000092094 SGSSSSKKRL0.993unspETH_00000920228 SASLESREGQ0.994unsp

     



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