PVX_084850 | microsomal signal peptidase 12 kDa subunit, putative

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  • Fasta :-

    >PVX_084850 MGLISAIKNSIERTYVCVRRNHMDFHGQKLAFLIKNVVFTISTVVSIAVGYYKQNLALSA YIILGGTALSALLIMPTWPIYNKHNIQWESSEDPMEDRKRR
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PVX_084850.fa Sequence name : PVX_084850 Sequence length : 101 VALUES OF COMPUTED PARAMETERS Coef20 : 4.688 CoefTot : -0.010 ChDiff : 5 ZoneTo : 11 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.988 1.971 0.379 0.728 MesoH : 0.136 0.734 -0.215 0.340 MuHd_075 : 26.731 13.243 6.192 5.519 MuHd_095 : 26.257 19.071 7.965 6.919 MuHd_100 : 25.834 20.779 8.612 6.404 MuHd_105 : 24.342 20.030 8.459 5.221 Hmax_075 : 10.033 15.600 2.810 5.030 Hmax_095 : 15.200 19.500 3.803 6.610 Hmax_100 : 16.500 20.000 4.890 6.610 Hmax_105 : 18.500 21.400 5.493 6.180 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.4428 0.5572 DFMC : 0.6173 0.3827
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 101 PVX_084850 MGLISAIKNSIERTYVCVRRNHMDFHGQKLAFLIKNVVFTISTVVSIAVGYYKQNLALSAYIILGGTALSALLIMPTWPI 80 YNKHNIQWESSEDPMEDRKRR 160 ................................................................................ 80 ....................P 160 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ PVX_084850 8 GLISAIK|NS 0.055 . PVX_084850 13 IKNSIER|TY 0.086 . PVX_084850 19 RTYVCVR|RN 0.084 . PVX_084850 20 TYVCVRR|NH 0.154 . PVX_084850 29 MDFHGQK|LA 0.066 . PVX_084850 35 KLAFLIK|NV 0.077 . PVX_084850 53 IAVGYYK|QN 0.058 . PVX_084850 83 TWPIYNK|HN 0.073 . PVX_084850 98 EDPMEDR|KR 0.075 . PVX_084850 99 DPMEDRK|RR 0.070 . PVX_084850 100 PMEDRKR|R- 0.158 . PVX_084850 101 MEDRKRR|-- 0.573 *ProP* ____________________________^_________________

  • Fasta :-

    >PVX_084850 AGAAGCCAACCGGTAGGCTAACAAATAAAGAGGTTATCATTCACAACAGGGGGGAGTTAT AAACTTTACGCGAAGCGAATTGTACTGGAGGAGTCCCCCTTTTAGGCTCCCCCTTTATGT CACCGCCATCTTTGCGATGAGATATGCCCTTGCATGGCAACTCGCATACGCACGTACAGC TACGAAGGAGGACCAATGCACAGCAGGAGGATTCCCCCTCACCTCTTCACCATTAATAGA ACAGTTCATCCGAGTGAAATAGAATAACCCCCCATTCGCGCCGCTCTCACGGAGAGTATA CATCCCTGCTTACGTTCCCCCGTGCAACGCTGCGAGTGGGTAACGAAGAAGAAAAGGGGA AAAACCTCCTCGAAAGTCCTGCCCCCCTCCTCCTCCCCCATTCGAACGATCACCCCATGG GCCTAATTAGCGCGATTAAGAACAGTATAGAGCGCACCTACGTGTGTGTCCGGAGGAATC ACATGGACTTCCACGGCCAGAAGCTCGCATTCCTAATCAAAAACGTCGTCTTCACCATCA GCACGGTAGTCTCCATTGCAGTCGGTTATTACAAGCAGAACTTAGCCTTGAGTGCCTACA TCATTTTGGGCGGCACCGCCTTGTCAGCACTGCTAATCATGCCCACGTGGCCCATATACA ACAAGCACAACATTCAGTGGGAAAGTTCAGAAGATCCCATGGAGGATAGGAAGCGAAGAT AA
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PVX_084850      


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