• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:        

  • Computed_GO_Functions:        

  • Computed_GO_Process_IDs:        

  • Computed_GO_Processes:        

  • Curated_GO_Component_IDs:  GO:0005838      

  • Curated_GO_Components:  proteasome regulatory particle      

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:  proteasome regulatory particle assembly      

_IDPredictionOTHERSPmTPCS_Position
PKNH_0824000OTHER0.9999960.0000010.000003
No Results
  • Fasta :-

    >PKNH_0824000 MNLDEFNELVKQRDEIEREIKENVDFLESPENKGVGMKGKLVDPEGFPRNDIDIYSIRVA RNKVICLKNDYLDLNKRIEEYLHKVHTSHPPIRVQRSKAKDEPGNEANESSSESQVEDYD ESAPGYEKLIEKAKRSTFAMIDEMVENSPSYKAGLRINDYVFQFGDVRKKKKKKSDGNGN ENGNGNENEKEYEKENADIFNRIAAYMKDNPTKIKVKILREGKIFFYSVFPNKTVNGLYI GCHLTPTRGLLV
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0824000.fa Sequence name : PKNH_0824000 Sequence length : 252 VALUES OF COMPUTED PARAMETERS Coef20 : 3.282 CoefTot : -0.012 ChDiff : -2 ZoneTo : 3 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.476 0.741 -0.086 0.443 MesoH : -2.008 -0.500 -0.796 -0.039 MuHd_075 : 33.403 15.526 6.429 6.673 MuHd_095 : 13.820 9.414 3.671 2.862 MuHd_100 : 29.644 18.103 8.020 5.585 MuHd_105 : 41.852 25.733 11.874 7.657 Hmax_075 : -17.938 -0.700 -6.658 0.653 Hmax_095 : -17.938 -1.750 -6.531 -0.090 Hmax_100 : -13.100 3.800 -4.437 0.780 Hmax_105 : -2.100 11.100 -1.372 2.660 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8695 0.1305 DFMC : 0.8925 0.1075
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 252 PKNH_0824000 MNLDEFNELVKQRDEIEREIKENVDFLESPENKGVGMKGKLVDPEGFPRNDIDIYSIRVARNKVICLKNDYLDLNKRIEE 80 YLHKVHTSHPPIRVQRSKAKDEPGNEANESSSESQVEDYDESAPGYEKLIEKAKRSTFAMIDEMVENSPSYKAGLRINDY 160 VFQFGDVRKKKKKKSDGNGNENGNGNENEKEYEKENADIFNRIAAYMKDNPTKIKVKILREGKIFFYSVFPNKTVNGLYI 240 GCHLTPTRGLLV 320 ................................................................................ 80 ...............P................................................................ 160 ................................................................................ 240 ............ 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ PKNH_0824000 11 EFNELVK|QR 0.068 . PKNH_0824000 13 NELVKQR|DE 0.109 . PKNH_0824000 18 QRDEIER|EI 0.095 . PKNH_0824000 21 EIEREIK|EN 0.112 . PKNH_0824000 33 LESPENK|GV 0.131 . PKNH_0824000 38 NKGVGMK|GK 0.064 . PKNH_0824000 40 GVGMKGK|LV 0.112 . PKNH_0824000 49 DPEGFPR|ND 0.090 . PKNH_0824000 58 IDIYSIR|VA 0.100 . PKNH_0824000 61 YSIRVAR|NK 0.255 . PKNH_0824000 63 IRVARNK|VI 0.068 . PKNH_0824000 68 NKVICLK|ND 0.058 . PKNH_0824000 76 DYLDLNK|RI 0.060 . PKNH_0824000 77 YLDLNKR|IE 0.112 . PKNH_0824000 84 IEEYLHK|VH 0.056 . PKNH_0824000 93 TSHPPIR|VQ 0.103 . PKNH_0824000 96 PPIRVQR|SK 0.550 *ProP* PKNH_0824000 98 IRVQRSK|AK 0.078 . PKNH_0824000 100 VQRSKAK|DE 0.086 . PKNH_0824000 128 SAPGYEK|LI 0.066 . PKNH_0824000 132 YEKLIEK|AK 0.060 . PKNH_0824000 134 KLIEKAK|RS 0.069 . PKNH_0824000 135 LIEKAKR|ST 0.424 . PKNH_0824000 152 ENSPSYK|AG 0.078 . PKNH_0824000 156 SYKAGLR|IN 0.081 . PKNH_0824000 168 FQFGDVR|KK 0.069 . PKNH_0824000 169 QFGDVRK|KK 0.084 . PKNH_0824000 170 FGDVRKK|KK 0.087 . PKNH_0824000 171 GDVRKKK|KK 0.298 . PKNH_0824000 172 DVRKKKK|KK 0.170 . PKNH_0824000 173 VRKKKKK|KS 0.188 . PKNH_0824000 174 RKKKKKK|SD 0.338 . PKNH_0824000 190 NGNENEK|EY 0.071 . PKNH_0824000 194 NEKEYEK|EN 0.061 . PKNH_0824000 202 NADIFNR|IA 0.084 . PKNH_0824000 208 RIAAYMK|DN 0.078 . PKNH_0824000 213 MKDNPTK|IK 0.075 . PKNH_0824000 215 DNPTKIK|VK 0.059 . PKNH_0824000 217 PTKIKVK|IL 0.068 . PKNH_0824000 220 IKVKILR|EG 0.084 . PKNH_0824000 223 KILREGK|IF 0.095 . PKNH_0824000 233 YSVFPNK|TV 0.071 . PKNH_0824000 248 CHLTPTR|GL 0.081 . ____________________________^_________________
  • Fasta :-

    >PKNH_0824000 ATGAACCTGGACGAGTTCAATGAACTGGTAAAGCAGAGAGATGAAATTGAGCGAGAAATC AAGGAGAATGTGGATTTCCTGGAATCCCCAGAAAACAAAGGCGTGGGCATGAAGGGCAAG TTGGTAGATCCAGAAGGATTTCCCAGAAACGATATTGACATATATAGCATCCGGGTTGCA AGGAATAAGGTTATCTGCTTAAAAAACGATTACCTAGATCTGAACAAAAGGATCGAAGAG TACCTCCACAAGGTTCATACTTCTCATCCTCCCATACGAGTACAGAGGAGTAAAGCGAAA GACGAACCGGGTAATGAAGCAAATGAATCTTCATCAGAAAGTCAAGTAGAAGATTATGAT GAATCAGCACCAGGTTATGAGAAGCTAATCGAAAAAGCCAAGAGGAGTACATTTGCCATG ATCGATGAAATGGTAGAGAATTCCCCTTCATATAAGGCAGGGCTACGAATCAATGATTAT GTATTTCAGTTTGGTGATGTACGAAAAAAAAAAAAAAAAAAAAGTGATGGAAATGGAAAT GAAAATGGAAATGGAAATGAAAATGAAAAAGAATACGAAAAGGAGAATGCAGACATCTTC AACAGAATTGCAGCTTACATGAAGGACAATCCCACCAAAATTAAAGTTAAAATATTGAGA GAGGGAAAAATTTTTTTTTATTCTGTTTTTCCAAATAAGACAGTCAATGGGTTATACATT GGCTGTCACCTGACGCCAACCAGGGGGTTATTGGTATAA
  • Download Fasta
  • Fasta :-

    MNLDEFNELVKQRDEIEREIKENVDFLESPENKGVGMKGKLVDPEGFPRNDIDIYSIRVA RNKVICLKNDYLDLNKRIEEYLHKVHTSHPPIRVQRSKAKDEPGNEANESSSESQVEDYD ESAPGYEKLIEKAKRSTFAMIDEMVENSPSYKAGLRINDYVFQFGDVRKKKKKKSDGNGN ENGNGNENEKEYEKENADIFNRIAAYMKDNPTKIKVKILREGKIFFYSVFPNKTVNGLYI GCHLTPTRGLLV

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethod
PKNH_0824000114 SSSSESQVED0.994unsp

PK3_1550c      PKH_082360      



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