LmjF.20.1210 | calpain-like cysteine peptidase, putative

_IDPredictionOTHERSPmTPCS_Position
LmjF.20.1210OTHER0.9578160.0017420.040443
No Results

  • Fasta :-

    >LmjF.20.1210 MAAVAEHTHHLLRMFRHPRSQQLGAAEQLLGAYRVTLNVRGWWRSVVVDDYFPMTEGSSY MNCAHSHRDVRELRVPLLEKVYARMRGGYSNIITGNPLMALRDFTGWPCTRYDIAHFNDI SVVSSSFASRLMRYDRYGFQVILHTAPRFDPDGMMLQTDVATSRAEMSLPSAAEASGRGA CTEAGAVHGLLADMVYPVMRILRFNADSFYAELTLLQVRNPWGAIAAWKGKWRCGSRLWE QWPQIAAACDMQECLHRDGSGGMISSRHDLRDRCAAPPAPQTATTAAGATTTACACRRNQ YIWVEWSGVYQHFSGCGVIFRLPLHHDYRVKGVFDTTCPSVWVRVSVAACTFIGAMLSMS DTVGDRSLAATDTEDASTYPLIMLTLAREEVGVLHVVRNSQADPDNPTTRFSFM
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/890 Sequence name : 890 Sequence length : 414 VALUES OF COMPUTED PARAMETERS Coef20 : 4.133 CoefTot : -0.569 ChDiff : 2 ZoneTo : 48 KR : 6 DE : 2 CleavSite : 46 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.400 1.788 0.247 0.556 MesoH : -0.134 0.525 -0.213 0.238 MuHd_075 : 34.241 19.623 8.479 8.219 MuHd_095 : 30.229 20.760 9.496 6.844 MuHd_100 : 40.969 24.300 11.359 8.198 MuHd_105 : 47.001 25.351 12.000 9.689 Hmax_075 : 13.700 7.350 -0.553 5.470 Hmax_095 : 11.700 6.200 0.389 3.981 Hmax_100 : 18.100 17.600 2.714 5.710 Hmax_105 : 15.750 8.200 2.127 5.190 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.6843 0.3157 DFMC : 0.6566 0.3434
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 414 LmjF.20.1210 MAAVAEHTHHLLRMFRHPRSQQLGAAEQLLGAYRVTLNVRGWWRSVVVDDYFPMTEGSSYMNCAHSHRDVRELRVPLLEK 80 VYARMRGGYSNIITGNPLMALRDFTGWPCTRYDIAHFNDISVVSSSFASRLMRYDRYGFQVILHTAPRFDPDGMMLQTDV 160 ATSRAEMSLPSAAEASGRGACTEAGAVHGLLADMVYPVMRILRFNADSFYAELTLLQVRNPWGAIAAWKGKWRCGSRLWE 240 QWPQIAAACDMQECLHRDGSGGMISSRHDLRDRCAAPPAPQTATTAAGATTTACACRRNQYIWVEWSGVYQHFSGCGVIF 320 RLPLHHDYRVKGVFDTTCPSVWVRVSVAACTFIGAMLSMSDTVGDRSLAATDTEDASTYPLIMLTLAREEVGVLHVVRNS 400 QADPDNPTTRFSFM 480 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 .............. 480 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmjF.20.1210 13 HTHHLLR|MF 0.099 . LmjF.20.1210 16 HLLRMFR|HP 0.219 . LmjF.20.1210 19 RMFRHPR|SQ 0.388 . LmjF.20.1210 34 QLLGAYR|VT 0.081 . LmjF.20.1210 40 RVTLNVR|GW 0.084 . LmjF.20.1210 44 NVRGWWR|SV 0.140 . LmjF.20.1210 68 NCAHSHR|DV 0.203 . LmjF.20.1210 71 HSHRDVR|EL 0.245 . LmjF.20.1210 74 RDVRELR|VP 0.117 . LmjF.20.1210 80 RVPLLEK|VY 0.057 . LmjF.20.1210 84 LEKVYAR|MR 0.115 . LmjF.20.1210 86 KVYARMR|GG 0.083 . LmjF.20.1210 102 NPLMALR|DF 0.098 . LmjF.20.1210 111 TGWPCTR|YD 0.104 . LmjF.20.1210 130 SSSFASR|LM 0.096 . LmjF.20.1210 133 FASRLMR|YD 0.394 . LmjF.20.1210 136 RLMRYDR|YG 0.366 . LmjF.20.1210 148 ILHTAPR|FD 0.116 . LmjF.20.1210 164 TDVATSR|AE 0.083 . LmjF.20.1210 178 AAEASGR|GA 0.144 . LmjF.20.1210 200 MVYPVMR|IL 0.099 . LmjF.20.1210 203 PVMRILR|FN 0.288 . LmjF.20.1210 219 LTLLQVR|NP 0.074 . LmjF.20.1210 229 GAIAAWK|GK 0.071 . LmjF.20.1210 231 IAAWKGK|WR 0.078 . LmjF.20.1210 233 AWKGKWR|CG 0.103 . LmjF.20.1210 237 KWRCGSR|LW 0.097 . LmjF.20.1210 257 MQECLHR|DG 0.131 . LmjF.20.1210 267 GGMISSR|HD 0.081 . LmjF.20.1210 271 SSRHDLR|DR 0.136 . LmjF.20.1210 273 RHDLRDR|CA 0.088 . LmjF.20.1210 297 TTACACR|RN 0.085 . LmjF.20.1210 298 TACACRR|NQ 0.134 . LmjF.20.1210 321 GCGVIFR|LP 0.070 . LmjF.20.1210 329 PLHHDYR|VK 0.102 . LmjF.20.1210 331 HHDYRVK|GV 0.086 . LmjF.20.1210 344 CPSVWVR|VS 0.109 . LmjF.20.1210 366 SDTVGDR|SL 0.101 . LmjF.20.1210 388 IMLTLAR|EE 0.092 . LmjF.20.1210 398 GVLHVVR|NS 0.083 . LmjF.20.1210 410 PDNPTTR|FS 0.123 . ____________________________^_________________

  • Fasta :-

    >LmjF.20.1210 ATGGCGGCGGTCGCGGAGCACACGCACCACCTCCTCCGCATGTTCCGCCACCCCCGCAGC CAGCAACTGGGGGCCGCCGAACAGCTCCTCGGCGCGTATCGCGTGACGCTGAACGTGCGA GGGTGGTGGCGCAGCGTCGTGGTCGACGACTACTTCCCCATGACGGAGGGCAGCAGTTAC ATGAATTGCGCGCACAGTCACCGTGATGTGCGGGAGCTGCGGGTGCCGCTGCTGGAGAAG GTGTACGCTAGGATGCGTGGCGGCTACTCTAACATCATCACTGGCAATCCGCTCATGGCT CTGCGTGACTTCACCGGTTGGCCGTGCACCCGCTACGACATCGCACACTTCAACGACATT TCTGTGGTGTCGTCTAGCTTTGCGTCGCGACTCATGCGGTACGACCGGTACGGGTTTCAG GTCATCCTGCACACGGCACCCCGCTTCGATCCTGATGGCATGATGCTCCAGACCGACGTA GCTACCTCACGAGCAGAGATGTCTCTGCCTTCAGCGGCGGAGGCTTCCGGGCGCGGCGCG TGCACTGAAGCAGGGGCGGTTCACGGGCTCCTCGCCGACATGGTGTACCCCGTCATGCGC ATCTTGCGGTTCAACGCCGATTCGTTTTATGCCGAGCTGACGCTGCTCCAAGTGCGGAAT CCGTGGGGAGCCATAGCAGCGTGGAAAGGAAAGTGGCGGTGTGGCAGTCGCCTCTGGGAG CAGTGGCCACAGATTGCCGCGGCATGTGACATGCAGGAGTGCCTGCATCGTGACGGCAGT GGCGGCATGATATCGTCAAGGCACGATCTCCGAGACAGATGTGCGGCACCACCGGCGCCG CAGACAGCCACCACGGCTGCTGGCGCCACCACTACCGCGTGCGCCTGTCGCCGCAACCAG TACATCTGGGTAGAGTGGTCAGGGGTGTACCAGCACTTCTCCGGCTGCGGCGTCATATTC CGACTCCCCCTTCACCACGACTATCGCGTAAAAGGGGTGTTCGACACCACCTGCCCATCT GTGTGGGTGCGGGTGTCGGTCGCGGCGTGCACCTTCATAGGTGCCATGCTCTCTATGAGC GACACAGTCGGGGACAGGTCCTTGGCGGCGACGGACACGGAAGACGCGAGCACATACCCG CTCATCATGCTCACGCTGGCGCGAGAGGAAGTTGGCGTGCTGCACGTCGTGCGCAACTCG CAGGCTGACCCTGACAATCCGACAACGCGCTTTAGCTTTATGTGA
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  • Fasta :-

    MAAVAEHTHHLLRMFRHPRSQQLGAAEQLLGAYRVTLNVRGWWRSVVVDDYFPMTEGSSY MNCAHSHRDVRELRVPLLEKVYARMRGGYSNIITGNPLMALRDFTGWPCTRYDIAHFNDI SVVSSSFASRLMRYDRYGFQVILHTAPRFDPDGMMLQTDVATSRAEMSLPSAAEASGRGA CTEAGAVHGLLADMVYPVMRILRFNADSFYAELTLLQVRNPWGAIAAWKGKWRCGSRLWE QWPQIAAACDMQECLHRDGSGGMISSRHDLRDRCAAPPAPQTATTAAGATTTACACRRNQ YIWVEWSGVYQHFSGCGVIFRLPLHHDYRVKGVFDTTCPSVWVRVSVAACTFIGAMLSMS DTVGDRSLAATDTEDASTYPLIMLTLAREEVGVLHVVRNSQADPDNPTTRFSFM

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
LmjF.20.1210358 SGAMLSMSDT0.993unspLmjF.20.1210358 SGAMLSMSDT0.993unspLmjF.20.1210358 SGAMLSMSDT0.993unspLmjF.20.1210400 SVVRNSQADP0.995unspLmjF.20.121066 SNCAHSHRDV0.997unspLmjF.20.1210163 SDVATSRAEM0.991unsp

LmjF.20.1210      



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