PKNH_1009800 | mitochondrial-processing peptidase subunit alpha, putative

_IDPredictionOTHERSPmTPCS_Position
PKNH_1009800OTHER0.9809200.0000370.019043
No Results

  • Fasta :-

    >PKNH_1009800 MNANVQKFKIVLFRNKKTGKQLFSSEALKVKRNPNLEKLYSGEKQNLTKVTFKKEKIEDI IKEVKFDYYYFNEGKKNIYKDIPLNIAVIKESELPAFKQVDEKLHFSVLENDLRIISTNR NNSVCSIGLYVKCGSRYEEINDQVNEQGMSVMLENMAFHSTAHLSHLRTIKSLEKIGANV SCNAFREHIVYTCECLKEYLPVVTNLLIGNVLFPRFLSWEMKNNVNRLNTMRSKLFENNE LYITELLHNTAWYNNTLGNKLYVCESSVENYNATNLRNFMLKHFSPKNMTLVGVNVDHEE LTKWTSRAFQDYVSIPYTNQKEVTPKYTGGFVSVEDKNVKKTNIAIAYETKGGWKTSDMI TLTVLQTLMGGGGSFSTGGPGKGMYSRLFLNVLNNYNFIESCMAFSTQHSDTGLFGLYFT GEPANTMDIINAMAVEFQKMNKVTDEELNRAKKSLKSFMWMSLEYKSILMEDLARQMMIL NRVLSGKQLCDAIDAVTKEDINRIVGHFLKTKPTVVVYGNINHSPHYDEICKILG
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_1009800.fa Sequence name : PKNH_1009800 Sequence length : 535 VALUES OF COMPUTED PARAMETERS Coef20 : 3.971 CoefTot : -0.783 ChDiff : 10 ZoneTo : 25 KR : 6 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.688 1.347 0.160 0.531 MesoH : 0.237 0.334 -0.230 0.277 MuHd_075 : 22.853 13.831 6.509 4.765 MuHd_095 : 26.036 16.013 8.739 6.186 MuHd_100 : 29.931 17.411 8.812 6.739 MuHd_105 : 31.908 17.986 8.977 7.093 Hmax_075 : 9.100 11.400 -0.552 4.250 Hmax_095 : 11.800 13.500 0.993 5.400 Hmax_100 : 11.800 14.900 1.287 5.400 Hmax_105 : 10.900 14.600 1.054 4.770 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.5588 0.4412 DFMC : 0.4300 0.5700 This protein is probably imported in mitochondria. f(Ser) = 0.0800 f(Arg) = 0.0400 CMi = 0.63492 CMi is the Chloroplast/Mitochondria Index It has been proposed by Von Heijne et al (Eur J Biochem,1989, 180: 535-545)
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 535 PKNH_1009800 MNANVQKFKIVLFRNKKTGKQLFSSEALKVKRNPNLEKLYSGEKQNLTKVTFKKEKIEDIIKEVKFDYYYFNEGKKNIYK 80 DIPLNIAVIKESELPAFKQVDEKLHFSVLENDLRIISTNRNNSVCSIGLYVKCGSRYEEINDQVNEQGMSVMLENMAFHS 160 TAHLSHLRTIKSLEKIGANVSCNAFREHIVYTCECLKEYLPVVTNLLIGNVLFPRFLSWEMKNNVNRLNTMRSKLFENNE 240 LYITELLHNTAWYNNTLGNKLYVCESSVENYNATNLRNFMLKHFSPKNMTLVGVNVDHEELTKWTSRAFQDYVSIPYTNQ 320 KEVTPKYTGGFVSVEDKNVKKTNIAIAYETKGGWKTSDMITLTVLQTLMGGGGSFSTGGPGKGMYSRLFLNVLNNYNFIE 400 SCMAFSTQHSDTGLFGLYFTGEPANTMDIINAMAVEFQKMNKVTDEELNRAKKSLKSFMWMSLEYKSILMEDLARQMMIL 480 NRVLSGKQLCDAIDAVTKEDINRIVGHFLKTKPTVVVYGNINHSPHYDEICKILG 560 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ....................................................... 560 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_1009800 7 MNANVQK|FK 0.079 . PKNH_1009800 9 ANVQKFK|IV 0.074 . PKNH_1009800 14 FKIVLFR|NK 0.098 . PKNH_1009800 16 IVLFRNK|KT 0.081 . PKNH_1009800 17 VLFRNKK|TG 0.191 . PKNH_1009800 20 RNKKTGK|QL 0.081 . PKNH_1009800 29 FSSEALK|VK 0.056 . PKNH_1009800 31 SEALKVK|RN 0.065 . PKNH_1009800 32 EALKVKR|NP 0.111 . PKNH_1009800 38 RNPNLEK|LY 0.068 . PKNH_1009800 44 KLYSGEK|QN 0.057 . PKNH_1009800 49 EKQNLTK|VT 0.079 . PKNH_1009800 53 LTKVTFK|KE 0.059 . PKNH_1009800 54 TKVTFKK|EK 0.106 . PKNH_1009800 56 VTFKKEK|IE 0.067 . PKNH_1009800 62 KIEDIIK|EV 0.060 . PKNH_1009800 65 DIIKEVK|FD 0.061 . PKNH_1009800 75 YYFNEGK|KN 0.057 . PKNH_1009800 76 YFNEGKK|NI 0.092 . PKNH_1009800 80 GKKNIYK|DI 0.073 . PKNH_1009800 90 LNIAVIK|ES 0.061 . PKNH_1009800 98 SELPAFK|QV 0.083 . PKNH_1009800 103 FKQVDEK|LH 0.065 . PKNH_1009800 114 VLENDLR|II 0.094 . PKNH_1009800 120 RIISTNR|NN 0.079 . PKNH_1009800 132 SIGLYVK|CG 0.062 . PKNH_1009800 136 YVKCGSR|YE 0.072 . PKNH_1009800 168 AHLSHLR|TI 0.079 . PKNH_1009800 171 SHLRTIK|SL 0.302 . PKNH_1009800 175 TIKSLEK|IG 0.056 . PKNH_1009800 186 VSCNAFR|EH 0.085 . PKNH_1009800 197 YTCECLK|EY 0.057 . PKNH_1009800 215 GNVLFPR|FL 0.124 . PKNH_1009800 222 FLSWEMK|NN 0.075 . PKNH_1009800 227 MKNNVNR|LN 0.088 . PKNH_1009800 232 NRLNTMR|SK 0.107 . PKNH_1009800 234 LNTMRSK|LF 0.065 . PKNH_1009800 260 NNTLGNK|LY 0.051 . PKNH_1009800 277 YNATNLR|NF 0.084 . PKNH_1009800 282 LRNFMLK|HF 0.110 . PKNH_1009800 287 LKHFSPK|NM 0.076 . PKNH_1009800 303 DHEELTK|WT 0.070 . PKNH_1009800 307 LTKWTSR|AF 0.097 . PKNH_1009800 321 IPYTNQK|EV 0.089 . PKNH_1009800 326 QKEVTPK|YT 0.096 . PKNH_1009800 337 FVSVEDK|NV 0.078 . PKNH_1009800 340 VEDKNVK|KT 0.063 . PKNH_1009800 341 EDKNVKK|TN 0.101 . PKNH_1009800 351 AIAYETK|GG 0.068 . PKNH_1009800 355 ETKGGWK|TS 0.061 . PKNH_1009800 382 STGGPGK|GM 0.067 . PKNH_1009800 387 GKGMYSR|LF 0.097 . PKNH_1009800 439 MAVEFQK|MN 0.061 . PKNH_1009800 442 EFQKMNK|VT 0.069 . PKNH_1009800 450 TDEELNR|AK 0.072 . PKNH_1009800 452 EELNRAK|KS 0.064 . PKNH_1009800 453 ELNRAKK|SL 0.483 . PKNH_1009800 456 RAKKSLK|SF 0.078 . PKNH_1009800 466 WMSLEYK|SI 0.081 . PKNH_1009800 475 LMEDLAR|QM 0.080 . PKNH_1009800 482 QMMILNR|VL 0.098 . PKNH_1009800 487 NRVLSGK|QL 0.095 . PKNH_1009800 498 AIDAVTK|ED 0.059 . PKNH_1009800 503 TKEDINR|IV 0.185 . PKNH_1009800 510 IVGHFLK|TK 0.061 . PKNH_1009800 512 GHFLKTK|PT 0.070 . PKNH_1009800 532 HYDEICK|IL 0.065 . ____________________________^_________________

  • Fasta :-

    >PKNH_1009800 ATGAATGCAAATGTACAGAAGTTCAAAATTGTTCTGTTCAGGAACAAGAAAACAGGGAAG CAGCTATTCAGTAGTGAAGCCCTAAAAGTGAAAAGAAATCCCAACCTAGAAAAGTTATAC TCAGGAGAAAAACAGAATTTGACAAAAGTAACATTCAAGAAGGAGAAAATTGAAGACATT ATTAAAGAAGTGAAATTTGATTATTACTATTTTAATGAAGGCAAGAAAAACATATATAAA GACATACCCCTGAACATTGCTGTAATAAAGGAGTCGGAATTGCCTGCCTTCAAGCAGGTT GATGAGAAGTTACATTTTTCAGTTTTGGAAAATGATCTTAGGATTATTTCCACCAACAGG AACAACAGCGTTTGTTCAATAGGGCTGTACGTGAAGTGCGGGTCCAGGTACGAAGAAATA AACGACCAGGTGAACGAGCAGGGCATGAGCGTGATGCTCGAAAACATGGCCTTCCACAGC ACAGCGCATCTGTCCCACCTGAGGACAATAAAGTCGCTAGAAAAAATAGGAGCGAATGTA AGCTGCAATGCATTTCGTGAGCACATAGTGTACACATGCGAATGTTTGAAGGAGTACCTA CCCGTAGTGACAAATCTACTTATTGGAAATGTTTTATTTCCGCGCTTTTTATCATGGGAA ATGAAAAATAATGTGAACCGACTCAACACCATGCGAAGCAAGCTATTTGAAAACAACGAA CTCTACATAACTGAATTACTCCACAACACTGCGTGGTATAATAACACCTTAGGGAATAAG CTGTATGTGTGTGAATCTAGTGTAGAAAATTACAATGCCACTAATTTAAGAAATTTCATG CTTAAGCATTTTTCTCCAAAAAACATGACCCTCGTTGGTGTCAATGTAGACCATGAGGAA TTAACCAAATGGACATCAAGAGCTTTTCAGGATTATGTTTCCATACCATACACAAACCAG AAGGAAGTAACTCCAAAATATACAGGTGGGTTTGTAAGTGTAGAAGATAAAAATGTTAAA AAGACCAACATTGCTATAGCGTATGAAACAAAAGGTGGTTGGAAAACATCAGATATGATT ACACTAACTGTGTTGCAAACCCTAATGGGTGGTGGCGGATCTTTCTCCACGGGAGGACCA GGAAAAGGAATGTATTCTAGATTATTCTTAAATGTCTTGAACAATTATAATTTCATAGAA TCGTGTATGGCCTTCAGTACACAGCATTCAGATACAGGTTTGTTTGGACTATACTTCACG GGAGAACCGGCCAATACGATGGACATAATAAATGCTATGGCTGTGGAATTTCAAAAGATG AATAAAGTTACCGATGAAGAATTAAATAGAGCAAAGAAAAGTTTGAAAAGCTTTATGTGG ATGAGTTTAGAGTATAAATCCATACTAATGGAAGACTTGGCTAGACAAATGATGATTCTA AATCGTGTTCTCTCCGGAAAACAGCTATGTGACGCTATAGATGCAGTAACCAAGGAAGAC ATAAACCGAATCGTAGGCCACTTCTTGAAAACAAAGCCAACCGTTGTTGTCTATGGCAAC ATTAACCATTCTCCGCATTATGACGAAATATGCAAAATTTTGGGCTAA
  • Download Fasta

  • Fasta :-

    MNANVQKFKIVLFRNKKTGKQLFSSEALKVKRNPNLEKLYSGEKQNLTKVTFKKEKIEDI IKEVKFDYYYFNEGKKNIYKDIPLNIAVIKESELPAFKQVDEKLHFSVLENDLRIISTNR NNSVCSIGLYVKCGSRYEEINDQVNEQGMSVMLENMAFHSTAHLSHLRTIKSLEKIGANV SCNAFREHIVYTCECLKEYLPVVTNLLIGNVLFPRFLSWEMKNNVNRLNTMRSKLFENNE LYITELLHNTAWYNNTLGNKLYVCESSVENYNATNLRNFMLKHFSPKNMTLVGVNVDHEE LTKWTSRAFQDYVSIPYTNQKEVTPKYTGGFVSVEDKNVKKTNIAIAYETKGGWKTSDMI TLTVLQTLMGGGGSFSTGGPGKGMYSRLFLNVLNNYNFIESCMAFSTQHSDTGLFGLYFT GEPANTMDIINAMAVEFQKMNKVTDEELNRAKKSLKSFMWMSLEYKSILMEDLARQMMIL NRVLSGKQLCDAIDAVTKEDINRIVGHFLKTKPTVVVYGNINHSPHYDEICKILG

    No Results
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No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
PKNH_1009800285 SLKHFSPKNM0.991unspPKNH_1009800485 SNRVLSGKQL0.992unsp

PK5_2270c      PKH_100910      



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