• 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:1990225      

  • Curated_GO_Components:  rhoptry neck      

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
PKNH_0913700SP0.0034630.9965350.000002CS pos: 24-25. AES-FR. Pr: 0.8507
No Results
  • Fasta :-

    >PKNH_0913700 MSRKRVFLLSIFLAISAIVDEAESFRKPNVATNVSFLEFTADGNPEDGQAGNHSQEQPSE PIVNTQPLQENVSEEANHTEESTGGSAEKGNTGSQVEPTHGGGNEETPHQGEHDKGSNGN GTNVGASVDTSGKVDGTANGHAEEASNEHAVGNVGIEKNDTHNESTTTDSNSDNGQMDLH TSTPSDKEENSSPSMNNMHNTVDLKGENAFESTTPGEYKASQQNMPHEVVAKNDGEERDG GASNMGALPHLHDQHEQQGGDAKHTEHGEQVEHSDHAEKEEHAQHTEHAEHAEHSEHAEH AEHAEHADHAEKEEHAKHTEHGEHADHAEHREHADHAKHGEYADHADHSEHADHVDRSEH ADNVDHSEHADHTEEGEHQIYGTIHPEVETSVLSSLREKGIHVSSIERVILEIIESAKEG VKGLLKLRTSKDSGKLLQEALEKHSINQRDIQINNNIISLDMYDRILSEMFKILTDMSFY KDGHFYETLGLNKSILNQSLKEIKIKMLRTIGIPYAKLPPIVKNKEKGGTCAVNNLIISI TSKELAQRMAIMFSKWLAPEEYGSVVDLDKSIELNVLCSGAPILVQQWKYYQNMLGFEVG NEHAFLNLIDDLLVIDKRYSNNEEYSKVLKKIKKSKAFNYCTKVMRIAGNISSIPFNHEN NKTPSYSIIGSLGNLVKAHMGNYYTAIANRLNSYFLYAEKRNKKNSPLKVTSVCTLLHLT DMLFNCSDEHMKNILDLNTLKLNILNMQGKRVLQPLVKMNFLNETKNAVLKEICEPSNRL VDETLSKLLNMLSTGSHELLAAEVEKRGFDEDYIQEEIKNINESDKNIRDKGEDEVENFI FEDL
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0913700.fa Sequence name : PKNH_0913700 Sequence length : 844 VALUES OF COMPUTED PARAMETERS Coef20 : 5.108 CoefTot : 1.141 ChDiff : -62 ZoneTo : 19 KR : 3 DE : 0 CleavSite : 15 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.112 2.100 0.170 0.704 MesoH : -0.623 0.317 -0.402 0.243 MuHd_075 : 19.870 6.649 4.296 3.487 MuHd_095 : 5.531 7.115 2.492 2.390 MuHd_100 : 1.778 6.430 0.511 2.284 MuHd_105 : 6.044 8.549 1.987 3.084 Hmax_075 : 16.887 16.100 2.575 5.160 Hmax_095 : 13.737 16.012 2.830 5.005 Hmax_100 : 11.600 20.400 1.877 6.100 Hmax_105 : 15.283 17.412 1.935 5.478 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8939 0.1061 DFMC : 0.8816 0.1184
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 844 PKNH_0913700 MSRKRVFLLSIFLAISAIVDEAESFRKPNVATNVSFLEFTADGNPEDGQAGNHSQEQPSEPIVNTQPLQENVSEEANHTE 80 ESTGGSAEKGNTGSQVEPTHGGGNEETPHQGEHDKGSNGNGTNVGASVDTSGKVDGTANGHAEEASNEHAVGNVGIEKND 160 THNESTTTDSNSDNGQMDLHTSTPSDKEENSSPSMNNMHNTVDLKGENAFESTTPGEYKASQQNMPHEVVAKNDGEERDG 240 GASNMGALPHLHDQHEQQGGDAKHTEHGEQVEHSDHAEKEEHAQHTEHAEHAEHSEHAEHAEHAEHADHAEKEEHAKHTE 320 HGEHADHAEHREHADHAKHGEYADHADHSEHADHVDRSEHADNVDHSEHADHTEEGEHQIYGTIHPEVETSVLSSLREKG 400 IHVSSIERVILEIIESAKEGVKGLLKLRTSKDSGKLLQEALEKHSINQRDIQINNNIISLDMYDRILSEMFKILTDMSFY 480 KDGHFYETLGLNKSILNQSLKEIKIKMLRTIGIPYAKLPPIVKNKEKGGTCAVNNLIISITSKELAQRMAIMFSKWLAPE 560 EYGSVVDLDKSIELNVLCSGAPILVQQWKYYQNMLGFEVGNEHAFLNLIDDLLVIDKRYSNNEEYSKVLKKIKKSKAFNY 640 CTKVMRIAGNISSIPFNHENNKTPSYSIIGSLGNLVKAHMGNYYTAIANRLNSYFLYAEKRNKKNSPLKVTSVCTLLHLT 720 DMLFNCSDEHMKNILDLNTLKLNILNMQGKRVLQPLVKMNFLNETKNAVLKEICEPSNRLVDETLSKLLNMLSTGSHELL 800 AAEVEKRGFDEDYIQEEIKNINESDKNIRDKGEDEVENFIFEDL 880 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ................................................................................ 560 ................................................................................ 640 ................................................................................ 720 ................................................................................ 800 ............................................ 880 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_0913700 3 ----MSR|KR 0.070 . PKNH_0913700 4 ---MSRK|RV 0.082 . PKNH_0913700 5 --MSRKR|VF 0.120 . PKNH_0913700 26 DEAESFR|KP 0.083 . PKNH_0913700 27 EAESFRK|PN 0.077 . PKNH_0913700 89 TGGSAEK|GN 0.075 . PKNH_0913700 115 HQGEHDK|GS 0.078 . PKNH_0913700 133 SVDTSGK|VD 0.066 . PKNH_0913700 158 GNVGIEK|ND 0.066 . PKNH_0913700 187 TSTPSDK|EE 0.064 . PKNH_0913700 205 HNTVDLK|GE 0.069 . PKNH_0913700 219 TTPGEYK|AS 0.076 . PKNH_0913700 232 PHEVVAK|ND 0.083 . PKNH_0913700 238 KNDGEER|DG 0.123 . PKNH_0913700 263 QQGGDAK|HT 0.102 . PKNH_0913700 279 HSDHAEK|EE 0.066 . PKNH_0913700 312 HADHAEK|EE 0.061 . PKNH_0913700 317 EKEEHAK|HT 0.109 . PKNH_0913700 331 ADHAEHR|EH 0.109 . PKNH_0913700 338 EHADHAK|HG 0.084 . PKNH_0913700 357 HADHVDR|SE 0.120 . PKNH_0913700 397 SVLSSLR|EK 0.095 . PKNH_0913700 399 LSSLREK|GI 0.077 . PKNH_0913700 408 HVSSIER|VI 0.087 . PKNH_0913700 418 EIIESAK|EG 0.064 . PKNH_0913700 422 SAKEGVK|GL 0.060 . PKNH_0913700 426 GVKGLLK|LR 0.053 . PKNH_0913700 428 KGLLKLR|TS 0.080 . PKNH_0913700 431 LKLRTSK|DS 0.199 . PKNH_0913700 435 TSKDSGK|LL 0.074 . PKNH_0913700 443 LQEALEK|HS 0.064 . PKNH_0913700 449 KHSINQR|DI 0.133 . PKNH_0913700 465 SLDMYDR|IL 0.102 . PKNH_0913700 472 ILSEMFK|IL 0.071 . PKNH_0913700 481 TDMSFYK|DG 0.085 . PKNH_0913700 493 ETLGLNK|SI 0.061 . PKNH_0913700 501 ILNQSLK|EI 0.068 . PKNH_0913700 504 QSLKEIK|IK 0.056 . PKNH_0913700 506 LKEIKIK|ML 0.081 . PKNH_0913700 509 IKIKMLR|TI 0.088 . PKNH_0913700 517 IGIPYAK|LP 0.058 . PKNH_0913700 523 KLPPIVK|NK 0.067 . PKNH_0913700 525 PPIVKNK|EK 0.075 . PKNH_0913700 527 IVKNKEK|GG 0.073 . PKNH_0913700 543 IISITSK|EL 0.071 . PKNH_0913700 548 SKELAQR|MA 0.095 . PKNH_0913700 555 MAIMFSK|WL 0.081 . PKNH_0913700 570 SVVDLDK|SI 0.078 . PKNH_0913700 589 ILVQQWK|YY 0.080 . PKNH_0913700 617 DLLVIDK|RY 0.060 . PKNH_0913700 618 LLVIDKR|YS 0.184 . PKNH_0913700 627 NNEEYSK|VL 0.060 . PKNH_0913700 630 EYSKVLK|KI 0.069 . PKNH_0913700 631 YSKVLKK|IK 0.098 . PKNH_0913700 633 KVLKKIK|KS 0.060 . PKNH_0913700 634 VLKKIKK|SK 0.128 . PKNH_0913700 636 KKIKKSK|AF 0.078 . PKNH_0913700 643 AFNYCTK|VM 0.069 . PKNH_0913700 646 YCTKVMR|IA 0.117 . PKNH_0913700 662 FNHENNK|TP 0.066 . PKNH_0913700 677 SLGNLVK|AH 0.065 . PKNH_0913700 690 YTAIANR|LN 0.089 . PKNH_0913700 700 YFLYAEK|RN 0.052 . PKNH_0913700 701 FLYAEKR|NK 0.132 . PKNH_0913700 703 YAEKRNK|KN 0.069 . PKNH_0913700 704 AEKRNKK|NS 0.198 . PKNH_0913700 709 KKNSPLK|VT 0.072 . PKNH_0913700 732 CSDEHMK|NI 0.062 . PKNH_0913700 741 LDLNTLK|LN 0.057 . PKNH_0913700 750 ILNMQGK|RV 0.083 . PKNH_0913700 751 LNMQGKR|VL 0.151 . PKNH_0913700 758 VLQPLVK|MN 0.061 . PKNH_0913700 766 NFLNETK|NA 0.058 . PKNH_0913700 771 TKNAVLK|EI 0.069 . PKNH_0913700 779 ICEPSNR|LV 0.109 . PKNH_0913700 787 VDETLSK|LL 0.057 . PKNH_0913700 806 LAAEVEK|RG 0.066 . PKNH_0913700 807 AAEVEKR|GF 0.192 . PKNH_0913700 819 YIQEEIK|NI 0.068 . PKNH_0913700 826 NINESDK|NI 0.086 . PKNH_0913700 829 ESDKNIR|DK 0.121 . PKNH_0913700 831 DKNIRDK|GE 0.095 . ____________________________^_________________
  • Fasta :-

    >PKNH_0913700 ATGTCTCGTAAAAGGGTTTTTCTTTTGTCCATTTTTCTGGCTATTTCTGCAATTGTTGAC GAAGCCGAGTCGTTCAGGAAGCCCAACGTGGCGACGAATGTCTCCTTCCTGGAATTCACG GCAGATGGTAACCCTGAAGATGGACAGGCGGGGAATCACTCGCAGGAGCAGCCAAGTGAA CCAATTGTTAACACCCAGCCGTTGCAGGAAAATGTAAGTGAAGAGGCTAACCATACGGAG GAGTCTACTGGTGGGAGCGCTGAGAAAGGAAATACTGGCAGCCAGGTGGAGCCAACACAT GGAGGAGGTAATGAGGAAACACCCCACCAAGGCGAACACGATAAAGGGAGCAACGGAAAC GGCACAAACGTTGGTGCAAGTGTAGACACTAGTGGAAAGGTGGACGGAACGGCGAATGGA CACGCTGAAGAAGCGTCAAACGAGCATGCCGTCGGGAATGTGGGTATCGAGAAGAACGAC ACACACAATGAGAGTACCACTACGGACTCTAATTCTGATAATGGGCAGATGGACTTGCAT ACATCCACCCCTTCAGATAAAGAAGAAAACAGTTCTCCTTCCATGAATAATATGCACAAC ACGGTAGACCTGAAAGGAGAAAACGCCTTTGAATCGACAACCCCAGGTGAATATAAAGCA TCCCAACAGAATATGCCCCACGAAGTGGTAGCTAAAAATGATGGTGAGGAGCGCGACGGG GGAGCTTCCAACATGGGAGCACTGCCACATTTGCACGATCAACATGAACAACAGGGGGGT GATGCAAAACACACTGAACATGGAGAACAGGTCGAGCATAGCGATCATGCAGAAAAGGAA GAGCATGCACAACATACTGAACATGCTGAACATGCTGAACATTCTGAACATGCTGAACAT GCTGAACATGCTGAACATGCCGACCATGCAGAAAAGGAAGAGCATGCAAAACACACTGAA CATGGAGAACATGCCGACCATGCTGAACATAGAGAACATGCCGACCATGCTAAACATGGA GAATATGCCGACCATGCTGACCATTCTGAACATGCCGACCATGTTGACCGTTCTGAACAT GCCGACAATGTTGACCATTCTGAACATGCCGACCACACTGAAGAAGGAGAGCACCAAATA TACGGGACGATCCACCCCGAGGTCGAAACTTCTGTTCTGTCCTCGCTGAGAGAGAAGGGC ATCCACGTGTCCAGCATAGAAAGAGTAATCCTTGAAATCATCGAAAGCGCCAAGGAAGGA GTAAAAGGATTATTAAAGCTACGCACAAGCAAGGACTCAGGGAAGTTACTACAAGAAGCT TTGGAAAAACATAGCATAAATCAAAGAGATATACAAATAAATAATAATATCATTTCCCTA GATATGTATGATAGAATTCTTTCGGAAATGTTTAAAATATTAACAGACATGTCTTTCTAT AAGGATGGCCATTTTTACGAAACGTTAGGTTTGAACAAATCTATACTAAACCAATCGCTA AAGGAAATTAAAATTAAAATGTTGAGGACCATTGGAATACCGTATGCAAAATTACCTCCA ATTGTTAAGAATAAAGAGAAAGGAGGGACATGTGCAGTTAATAACCTCATCATTAGTATT ACATCAAAGGAATTAGCTCAACGGATGGCTATAATGTTTTCAAAATGGCTAGCTCCAGAA GAGTATGGATCTGTTGTGGACTTGGACAAAAGCATAGAATTAAATGTCCTCTGTTCAGGA GCACCTATCCTAGTACAACAGTGGAAGTATTATCAAAACATGCTTGGGTTCGAAGTGGGG AATGAACATGCCTTCTTAAACCTAATAGATGATTTGCTAGTCATTGACAAGAGATATAGT AACAATGAAGAGTATTCTAAAGTGTTAAAAAAAATAAAAAAATCCAAAGCTTTTAATTAT TGTACAAAAGTTATGAGAATTGCAGGAAATATTTCTTCCATTCCATTTAATCATGAAAAT AATAAAACGCCCAGTTATTCAATCATTGGGTCGTTAGGTAACCTGGTGAAGGCTCACATG GGAAATTACTACACTGCCATAGCCAATAGATTAAATTCCTATTTTTTATATGCTGAGAAG AGGAACAAAAAAAACAGTCCTTTAAAAGTTACTTCTGTCTGTACTCTCCTTCATTTGACC GATATGCTTTTCAATTGTTCTGATGAGCACATGAAGAACATTTTGGATCTCAACACTTTG AAGTTAAACATTCTAAACATGCAGGGAAAGCGTGTACTGCAGCCCCTCGTCAAGATGAAC TTCCTCAACGAGACGAAGAACGCCGTCCTCAAGGAGATTTGCGAGCCCAGCAACCGCCTA GTGGACGAGACCCTGTCGAAGCTCCTCAATATGCTTTCAACCGGTTCACACGAATTGCTT GCAGCTGAGGTGGAAAAGCGTGGATTCGACGAGGACTACATCCAGGAGGAAATAAAAAAT ATAAACGAAAGCGACAAGAACATTCGGGATAAGGGCGAGGATGAAGTGGAAAATTTCATT TTTGAAGATTTGTGA
  • Download Fasta
  • Fasta :-

    MSRKRVFLLSIFLAISAIVDEAESFRKPNVATNVSFLEFTADGNPEDGQAGNHSQEQPSE PIVNTQPLQENVSEEANHTEESTGGSAEKGNTGSQVEPTHGGGNEETPHQGEHDKGSNGN GTNVGASVDTSGKVDGTANGHAEEASNEHAVGNVGIEKNDTHNESTTTDSNSDNGQMDLH TSTPSDKEENSSPSMNNMHNTVDLKGENAFESTTPGEYKASQQNMPHEVVAKNDGEERDG GASNMGALPHLHDQHEQQGGDAKHTEHGEQVEHSDHAEKEEHAQHTEHAEHAEHSEHAEH AEHAEHADHAEKEEHAKHTEHGEHADHAEHREHADHAKHGEYADHADHSEHADHVDRSEH ADNVDHSEHADHTEEGEHQIYGTIHPEVETSVLSSLREKGIHVSSIERVILEIIESAKEG VKGLLKLRTSKDSGKLLQEALEKHSINQRDIQINNNIISLDMYDRILSEMFKILTDMSFY KDGHFYETLGLNKSILNQSLKEIKIKMLRTIGIPYAKLPPIVKNKEKGGTCAVNNLIISI TSKELAQRMAIMFSKWLAPEEYGSVVDLDKSIELNVLCSGAPILVQQWKYYQNMLGFEVG NEHAFLNLIDDLLVIDKRYSNNEEYSKVLKKIKKSKAFNYCTKVMRIAGNISSIPFNHEN NKTPSYSIIGSLGNLVKAHMGNYYTAIANRLNSYFLYAEKRNKKNSPLKVTSVCTLLHLT DMLFNCSDEHMKNILDLNTLKLNILNMQGKRVLQPLVKMNFLNETKNAVLKEICEPSNRL VDETLSKLLNMLSTGSHELLAAEVEKRGFDEDYIQEEIKNINESDKNIRDKGEDEVENFI FEDL

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
PKNH_0913700499 SILNQSLKEI0.991unspPKNH_0913700499 SILNQSLKEI0.991unspPKNH_0913700499 SILNQSLKEI0.991unspPKNH_0913700564 SEEYGSVVDL0.993unspPKNH_0913700620 SDKRYSNNEE0.995unspPKNH_0913700824 SNINESDKNI0.993unspPKNH_0913700395 SSVLSSLREK0.993unspPKNH_0913700430 SKLRTSKDSG0.992unsp

PKH_091340      



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