_IDPredictionOTHERSPmTPCS_Position
PKNH_0716300OTHER0.9978410.0001480.002011
No Results
  • Fasta :-

    >PKNH_0716300 MSVNRYNFKTMSSLLKDKTPQHFDILPHTSIKCVVHPSVIFTILDAYLRRDEDQTHVIGT LMGCIVDSNLVEISDCFVDKHSLNEGGFLQIIKDHHETMYELKQKVRPRDQVVGWFCSGS ELSELSCAVHGWFKEHNSISKFYPHSPLNEPIHLLVDAALESGFLNIKAYVQLPITLVKE YFVHFHEIQTELLPSNVERAEVLQYQEKGSSGKDKDGHMHGNKNSVLANDMNEMSLKKLL IMLKQCKSYVQDVIDKKKKGNLEVGRYLHKVFSNDSFSTLEKFDSINESILQDNLMISYL SNLAHLQFLIAEKLNATPMQ
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0716300.fa Sequence name : PKNH_0716300 Sequence length : 320 VALUES OF COMPUTED PARAMETERS Coef20 : 4.088 CoefTot : 0.064 ChDiff : -6 ZoneTo : 16 KR : 3 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.124 1.488 0.097 0.544 MesoH : -0.415 0.309 -0.411 0.259 MuHd_075 : 11.434 3.892 2.769 1.516 MuHd_095 : 25.631 16.258 6.004 6.120 MuHd_100 : 18.609 13.148 3.743 5.059 MuHd_105 : 11.755 9.223 1.850 3.711 Hmax_075 : -2.567 3.500 -2.142 0.642 Hmax_095 : 3.500 5.600 -2.188 2.300 Hmax_100 : 0.300 2.800 -1.666 1.150 Hmax_105 : -2.013 2.888 -3.535 1.418 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8483 0.1517 DFMC : 0.7949 0.2051
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 320 PKNH_0716300 MSVNRYNFKTMSSLLKDKTPQHFDILPHTSIKCVVHPSVIFTILDAYLRRDEDQTHVIGTLMGCIVDSNLVEISDCFVDK 80 HSLNEGGFLQIIKDHHETMYELKQKVRPRDQVVGWFCSGSELSELSCAVHGWFKEHNSISKFYPHSPLNEPIHLLVDAAL 160 ESGFLNIKAYVQLPITLVKEYFVHFHEIQTELLPSNVERAEVLQYQEKGSSGKDKDGHMHGNKNSVLANDMNEMSLKKLL 240 IMLKQCKSYVQDVIDKKKKGNLEVGRYLHKVFSNDSFSTLEKFDSINESILQDNLMISYLSNLAHLQFLIAEKLNATPMQ 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_0716300 5 --MSVNR|YN 0.107 . PKNH_0716300 9 VNRYNFK|TM 0.070 . PKNH_0716300 16 TMSSLLK|DK 0.091 . PKNH_0716300 18 SSLLKDK|TP 0.057 . PKNH_0716300 32 LPHTSIK|CV 0.076 . PKNH_0716300 49 ILDAYLR|RD 0.082 . PKNH_0716300 50 LDAYLRR|DE 0.192 . PKNH_0716300 80 SDCFVDK|HS 0.072 . PKNH_0716300 93 GFLQIIK|DH 0.063 . PKNH_0716300 103 ETMYELK|QK 0.062 . PKNH_0716300 105 MYELKQK|VR 0.058 . PKNH_0716300 107 ELKQKVR|PR 0.116 . PKNH_0716300 109 KQKVRPR|DQ 0.136 . PKNH_0716300 134 AVHGWFK|EH 0.057 . PKNH_0716300 141 EHNSISK|FY 0.068 . PKNH_0716300 168 SGFLNIK|AY 0.059 . PKNH_0716300 179 LPITLVK|EY 0.069 . PKNH_0716300 199 LPSNVER|AE 0.107 . PKNH_0716300 208 VLQYQEK|GS 0.074 . PKNH_0716300 213 EKGSSGK|DK 0.093 . PKNH_0716300 215 GSSGKDK|DG 0.122 . PKNH_0716300 223 GHMHGNK|NS 0.060 . PKNH_0716300 237 MNEMSLK|KL 0.070 . PKNH_0716300 238 NEMSLKK|LL 0.076 . PKNH_0716300 244 KLLIMLK|QC 0.058 . PKNH_0716300 247 IMLKQCK|SY 0.076 . PKNH_0716300 256 VQDVIDK|KK 0.057 . PKNH_0716300 257 QDVIDKK|KK 0.098 . PKNH_0716300 258 DVIDKKK|KG 0.080 . PKNH_0716300 259 VIDKKKK|GN 0.114 . PKNH_0716300 266 GNLEVGR|YL 0.134 . PKNH_0716300 270 VGRYLHK|VF 0.059 . PKNH_0716300 282 SFSTLEK|FD 0.083 . PKNH_0716300 313 QFLIAEK|LN 0.055 . ____________________________^_________________
  • Fasta :-

    >PKNH_0716300 ATGAGCGTCAACCGCTACAACTTCAAAACGATGAGCTCCCTTTTGAAGGACAAAACGCCG CAGCACTTTGACATCCTGCCGCATACGAGCATCAAATGCGTAGTGCATCCATCTGTAATA TTTACAATTCTGGATGCCTACCTGAGAAGAGATGAAGACCAAACGCATGTCATTGGAACC CTCATGGGGTGTATCGTGGACTCGAACCTCGTCGAAATTTCGGACTGCTTCGTCGATAAG CATTCGCTGAATGAAGGAGGATTCCTCCAAATCATTAAGGACCACCACGAAACGATGTAT GAGTTAAAGCAGAAAGTTCGCCCCAGAGATCAGGTAGTCGGTTGGTTCTGCTCTGGTTCA GAGTTGTCCGAGCTTTCGTGCGCTGTGCATGGATGGTTTAAAGAGCACAACTCCATTTCG AAGTTCTACCCACACTCCCCTCTAAACGAACCGATACACCTACTAGTGGACGCTGCACTA GAAAGTGGTTTCCTTAACATCAAGGCCTACGTACAATTACCCATCACCCTGGTAAAGGAA TACTTTGTCCATTTTCACGAAATACAAACAGAGTTACTCCCCAGCAATGTTGAAAGAGCA GAAGTGCTGCAGTACCAAGAAAAAGGCTCGTCTGGTAAGGACAAAGACGGCCATATGCAT GGCAACAAAAATAGTGTCCTTGCAAACGATATGAATGAAATGTCTTTAAAAAAATTATTA ATTATGTTAAAGCAGTGCAAATCATATGTACAGGATGTTATCGATAAAAAGAAGAAGGGG AACCTTGAGGTTGGTAGATACCTACATAAGGTCTTCTCCAATGATTCTTTTTCGACTTTG GAAAAATTTGACTCCATAAATGAGAGCATCCTGCAAGACAATTTGATGATTTCCTATCTA TCGAATCTTGCTCATTTGCAGTTCCTCATAGCTGAAAAGTTAAACGCAACACCAATGCAA TGA
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  • Fasta :-

    MSVNRYNFKTMSSLLKDKTPQHFDILPHTSIKCVVHPSVIFTILDAYLRRDEDQTHVIGT LMGCIVDSNLVEISDCFVDKHSLNEGGFLQIIKDHHETMYELKQKVRPRDQVVGWFCSGS ELSELSCAVHGWFKEHNSISKFYPHSPLNEPIHLLVDAALESGFLNIKAYVQLPITLVKE YFVHFHEIQTELLPSNVERAEVLQYQEKGSSGKDKDGHMHGNKNSVLANDMNEMSLKKLL IMLKQCKSYVQDVIDKKKKGNLEVGRYLHKVFSNDSFSTLEKFDSINESILQDNLMISYL SNLAHLQFLIAEKLNATPMQ

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IDSitePeptideScoreMethod
PKNH_0716300211 SEKGSSGKDK0.998unsp

PK9_1690c      PKH_071560      



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