PY17X_0908700 | OTU domain-containing protein, putative

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_IDPredictionOTHERSPmTPCS_Position
PY17X_0908700OTHER0.9999250.0000030.000072
No Results

  • Fasta :-

    >PY17X_0908700 MNEELKKINYNEYKRRLKKLSEELTKERKKKTIHKDKQNENILKLEEELKKLNELYNGKN NDNNTIIEQNNYNDNIIPDNLYSYNVVSKKSLKNKAKMKKKEMEEELNEQSRSKIGQEEY NQLLDILKIKNQTIYSIPPDGNCLYESIIHQLKQRIKNFKFSKNNFLQIMNQDNFSLNII DLKNYQQNKNIFDFSIFESFDPNHLTSDILRFLTSVYILQNYDLFINFIYKYAEQDNNDP CYNYCQQIMNGIYGSEIEITALSNILKKKITVQDINMSISYGENYDEELFICFHHNLYTL GKHYNSVIDL
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PY17X_0908700.fa Sequence name : PY17X_0908700 Sequence length : 310 VALUES OF COMPUTED PARAMETERS Coef20 : 3.479 CoefTot : -0.134 ChDiff : -1 ZoneTo : 2 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.341 0.976 -0.133 0.469 MesoH : -1.014 -0.026 -0.494 0.164 MuHd_075 : 11.540 5.409 3.348 3.744 MuHd_095 : 32.481 18.617 9.333 6.448 MuHd_100 : 17.963 10.523 5.903 3.091 MuHd_105 : 2.130 6.037 1.039 0.964 Hmax_075 : -23.800 -7.400 -8.587 -0.960 Hmax_095 : -9.450 1.050 -4.561 0.420 Hmax_100 : -20.800 -4.800 -7.437 -1.620 Hmax_105 : -20.800 -4.800 -7.437 -1.660 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9474 0.0526 DFMC : 0.9764 0.0236
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 310 PY17X_0908700 MNEELKKINYNEYKRRLKKLSEELTKERKKKTIHKDKQNENILKLEEELKKLNELYNGKNNDNNTIIEQNNYNDNIIPDN 80 LYSYNVVSKKSLKNKAKMKKKEMEEELNEQSRSKIGQEEYNQLLDILKIKNQTIYSIPPDGNCLYESIIHQLKQRIKNFK 160 FSKNNFLQIMNQDNFSLNIIDLKNYQQNKNIFDFSIFESFDPNHLTSDILRFLTSVYILQNYDLFINFIYKYAEQDNNDP 240 CYNYCQQIMNGIYGSEIEITALSNILKKKITVQDINMSISYGENYDEELFICFHHNLYTLGKHYNSVIDL 320 ..............................P................................................. 80 ................................................................................ 160 ................................................................................ 240 ...................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ PY17X_0908700 6 -MNEELK|KI 0.062 . PY17X_0908700 7 MNEELKK|IN 0.087 . PY17X_0908700 14 INYNEYK|RR 0.064 . PY17X_0908700 15 NYNEYKR|RL 0.114 . PY17X_0908700 16 YNEYKRR|LK 0.136 . PY17X_0908700 18 EYKRRLK|KL 0.138 . PY17X_0908700 19 YKRRLKK|LS 0.315 . PY17X_0908700 26 LSEELTK|ER 0.059 . PY17X_0908700 28 EELTKER|KK 0.076 . PY17X_0908700 29 ELTKERK|KK 0.071 . PY17X_0908700 30 LTKERKK|KT 0.107 . PY17X_0908700 31 TKERKKK|TI 0.519 *ProP* PY17X_0908700 35 KKKTIHK|DK 0.072 . PY17X_0908700 37 KTIHKDK|QN 0.088 . PY17X_0908700 44 QNENILK|LE 0.059 . PY17X_0908700 50 KLEEELK|KL 0.060 . PY17X_0908700 51 LEEELKK|LN 0.078 . PY17X_0908700 59 NELYNGK|NN 0.057 . PY17X_0908700 89 SYNVVSK|KS 0.064 . PY17X_0908700 90 YNVVSKK|SL 0.184 . PY17X_0908700 93 VSKKSLK|NK 0.060 . PY17X_0908700 95 KKSLKNK|AK 0.106 . PY17X_0908700 97 SLKNKAK|MK 0.089 . PY17X_0908700 99 KNKAKMK|KK 0.083 . PY17X_0908700 100 NKAKMKK|KE 0.124 . PY17X_0908700 101 KAKMKKK|EM 0.149 . PY17X_0908700 112 ELNEQSR|SK 0.186 . PY17X_0908700 114 NEQSRSK|IG 0.065 . PY17X_0908700 128 QLLDILK|IK 0.058 . PY17X_0908700 130 LDILKIK|NQ 0.058 . PY17X_0908700 153 SIIHQLK|QR 0.062 . PY17X_0908700 155 IHQLKQR|IK 0.085 . PY17X_0908700 157 QLKQRIK|NF 0.061 . PY17X_0908700 160 QRIKNFK|FS 0.080 . PY17X_0908700 163 KNFKFSK|NN 0.070 . PY17X_0908700 183 LNIIDLK|NY 0.062 . PY17X_0908700 189 KNYQQNK|NI 0.067 . PY17X_0908700 211 LTSDILR|FL 0.107 . PY17X_0908700 231 FINFIYK|YA 0.085 . PY17X_0908700 267 ALSNILK|KK 0.073 . PY17X_0908700 268 LSNILKK|KI 0.120 . PY17X_0908700 269 SNILKKK|IT 0.143 . PY17X_0908700 302 NLYTLGK|HY 0.071 . ____________________________^_________________

  • Fasta :-

    >PY17X_0908700 ATGAATGAGGAGTTAAAGAAAATAAATTATAATGAATACAAAAGAAGACTAAAAAAATTA TCAGAAGAATTAACAAAAGAAAGAAAAAAAAAAACAATTCATAAGGATAAACAAAATGAA AATATATTAAAACTAGAAGAGGAACTAAAAAAATTGAATGAATTATACAATGGAAAAAAT AATGATAATAATACAATAATAGAACAAAATAATTACAATGATAATATTATCCCTGATAAT TTATATTCATATAATGTTGTTTCAAAAAAATCTTTAAAAAATAAAGCAAAAATGAAAAAA AAAGAAATGGAAGAAGAGTTAAATGAACAATCAAGAAGTAAAATTGGACAAGAAGAATAT AATCAATTATTAGATATTTTAAAAATTAAAAATCAAACAATTTATTCTATACCACCAGAT GGTAATTGTTTATATGAATCTATTATACATCAACTTAAACAAAGAATTAAAAATTTCAAA TTTTCGAAAAATAATTTTTTACAAATTATGAATCAAGACAATTTTTCATTAAATATTATA GATTTAAAAAACTATCAACAAAATAAAAATATTTTTGATTTTTCTATTTTTGAAAGTTTT GATCCAAATCATTTAACTAGTGACATACTAAGATTTCTTACTTCAGTATATATATTACAA AATTATGATTTATTTATTAATTTTATTTATAAATATGCAGAACAAGATAATAATGATCCA TGCTATAATTATTGCCAACAAATTATGAATGGAATATATGGGAGTGAAATTGAAATAACA GCTTTGTCAAATATTTTGAAGAAAAAAATTACAGTACAAGATATAAATATGAGCATATCA TATGGGGAAAATTATGACGAAGAATTATTTATATGTTTCCATCACAATTTATATACACTG GGCAAGCACTACAACTCTGTTATAGATTTATGA
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  • Fasta :-

    MNEELKKINYNEYKRRLKKLSEELTKERKKKTIHKDKQNENILKLEEELKKLNELYNGKN NDNNTIIEQNNYNDNIIPDNLYSYNVVSKKSLKNKAKMKKKEMEEELNEQSRSKIGQEEY NQLLDILKIKNQTIYSIPPDGNCLYESIIHQLKQRIKNFKFSKNNFLQIMNQDNFSLNII DLKNYQQNKNIFDFSIFESFDPNHLTSDILRFLTSVYILQNYDLFINFIYKYAEQDNNDP CYNYCQQIMNGIYGSEIEITALSNILKKKITVQDINMSISYGENYDEELFICFHHNLYTL GKHYNSVIDL

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
PY17X_090870021 SLKKLSEELT0.995unspPY17X_0908700306 SKHYNSVIDL0.992unsp
PY17X_0908700


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