• 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:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

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_ID
Prediction
OTHER
SP
mTP
CS_Position
PKNH_0602500 SP 0.067632 0.931917 0.000451 CS pos: 28-29. GGS-ER. Pr: 0.6689
Showing 1 to 1 of 1 rows
No Results
  • Fasta :-

    >PKNH_0602500 MDLYHVKCRRWSVLPFLLYGLLILYGGSERNDSMPRESIWGGGIITPVGFLSGLMNFSVT EGRGDRGKESTFAKEDHKINNRISRRVISSNGEGFHATVYFSGRNNGREELHSEDESVNR WDGIPDKVSQFMHKMINVKYENLMEDARRGGLLLERNEISHFGWKANEAINLSPMDEEES IKWKWKKEKEESASVKFGPNNKCFFLSRKEYSRMGRILSSANEDHPEESTIGVPNGDDTF EGSVLNIHFTENRNLYTNVKVGGQPLKLALNSRVEGIYVFMKDSQACYVGEEGMNRICYD PKTSRNSTWCNNDLLCLPAILSRPYECYSDSNLLLENKAEYPSMYYDSLKFTESHVEGSD DVELLDWRRDDRATNETSSANPINNLVRRGEDNTFQNTDIKLITDLSVYNGWSLFKDTDG MMGLAGRELSCRHVSAWNSIIEKNKSLYALDVNLPEGSVKPFVESASQNDSKKVGSSYGK FVSKKASTKKGDAATERNGTISEIHIGDYKKNFGPIVWSEARERGGIFSDSFMQFTLYNL QVCENNIFGKYSSNWQGVIDLSSKCLVLPKMFWLSLMEYLPVNKNDERCIPKNKEVNFDE STIPRMCSVDPRSRPLPVLKFYLSDNDIVSDNNVGGMNGASEEASQRRGIEQVHIPLDNL IINEEGQNDGYLCVLPDVHEGVSSENSGRTTKPLIKFGTYVINNLYVVVDQENYKVGFVN KKDYHFTNDRCTQRPVCIGNQFYEPALNICVDPDCSVWYFYTLNEETKKCESISSRFYVF LFILLLLLFMDIQSYYFYRKSVHVAKVSSR
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0602500.fa Sequence name : PKNH_0602500 Sequence length : 810 VALUES OF COMPUTED PARAMETERS Coef20 : 4.052 CoefTot : -0.716 ChDiff : -14 ZoneTo : 28 KR : 3 DE : 1 CleavSite : 12 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.947 2.400 0.287 0.850 MesoH : -0.555 0.360 -0.324 0.225 MuHd_075 : 25.821 21.608 7.645 5.206 MuHd_095 : 18.251 14.348 4.223 2.374 MuHd_100 : 17.749 13.115 3.276 2.706 MuHd_105 : 16.216 12.656 3.283 3.697 Hmax_075 : 17.150 20.183 4.990 5.262 Hmax_095 : 10.700 19.100 2.652 2.844 Hmax_100 : 9.800 14.900 2.871 2.990 Hmax_105 : 4.200 16.683 2.972 6.570 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9902 0.0098 DFMC : 0.9884 0.0116
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 810 PKNH_0602500 MDLYHVKCRRWSVLPFLLYGLLILYGGSERNDSMPRESIWGGGIITPVGFLSGLMNFSVTEGRGDRGKESTFAKEDHKIN 80 NRISRRVISSNGEGFHATVYFSGRNNGREELHSEDESVNRWDGIPDKVSQFMHKMINVKYENLMEDARRGGLLLERNEIS 160 HFGWKANEAINLSPMDEEESIKWKWKKEKEESASVKFGPNNKCFFLSRKEYSRMGRILSSANEDHPEESTIGVPNGDDTF 240 EGSVLNIHFTENRNLYTNVKVGGQPLKLALNSRVEGIYVFMKDSQACYVGEEGMNRICYDPKTSRNSTWCNNDLLCLPAI 320 LSRPYECYSDSNLLLENKAEYPSMYYDSLKFTESHVEGSDDVELLDWRRDDRATNETSSANPINNLVRRGEDNTFQNTDI 400 KLITDLSVYNGWSLFKDTDGMMGLAGRELSCRHVSAWNSIIEKNKSLYALDVNLPEGSVKPFVESASQNDSKKVGSSYGK 480 FVSKKASTKKGDAATERNGTISEIHIGDYKKNFGPIVWSEARERGGIFSDSFMQFTLYNLQVCENNIFGKYSSNWQGVID 560 LSSKCLVLPKMFWLSLMEYLPVNKNDERCIPKNKEVNFDESTIPRMCSVDPRSRPLPVLKFYLSDNDIVSDNNVGGMNGA 640 SEEASQRRGIEQVHIPLDNLIINEEGQNDGYLCVLPDVHEGVSSENSGRTTKPLIKFGTYVINNLYVVVDQENYKVGFVN 720 KKDYHFTNDRCTQRPVCIGNQFYEPALNICVDPDCSVWYFYTLNEETKKCESISSRFYVFLFILLLLLFMDIQSYYFYRK 800 SVHVAKVSSR 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_0602500 7 MDLYHVK|CR 0.061 . PKNH_0602500 9 LYHVKCR|RW 0.110 . PKNH_0602500 10 YHVKCRR|WS 0.090 . PKNH_0602500 30 LYGGSER|ND 0.077 . PKNH_0602500 36 RNDSMPR|ES 0.099 . PKNH_0602500 63 FSVTEGR|GD 0.116 . PKNH_0602500 66 TEGRGDR|GK 0.255 . PKNH_0602500 68 GRGDRGK|ES 0.072 . PKNH_0602500 74 KESTFAK|ED 0.091 . PKNH_0602500 78 FAKEDHK|IN 0.060 . PKNH_0602500 82 DHKINNR|IS 0.079 . PKNH_0602500 85 INNRISR|RV 0.429 . PKNH_0602500 86 NNRISRR|VI 0.224 . PKNH_0602500 104 TVYFSGR|NN 0.139 . PKNH_0602500 108 SGRNNGR|EE 0.096 . PKNH_0602500 120 EDESVNR|WD 0.090 . PKNH_0602500 127 WDGIPDK|VS 0.060 . PKNH_0602500 134 VSQFMHK|MI 0.076 . PKNH_0602500 139 HKMINVK|YE 0.068 . PKNH_0602500 148 NLMEDAR|RG 0.076 . PKNH_0602500 149 LMEDARR|GG 0.111 . PKNH_0602500 156 GGLLLER|NE 0.070 . PKNH_0602500 165 ISHFGWK|AN 0.077 . PKNH_0602500 182 DEEESIK|WK 0.069 . PKNH_0602500 184 EESIKWK|WK 0.091 . PKNH_0602500 186 SIKWKWK|KE 0.066 . PKNH_0602500 187 IKWKWKK|EK 0.141 . PKNH_0602500 189 WKWKKEK|EE 0.082 . PKNH_0602500 196 EESASVK|FG 0.075 . PKNH_0602500 202 KFGPNNK|CF 0.059 . PKNH_0602500 208 KCFFLSR|KE 0.072 . PKNH_0602500 209 CFFLSRK|EY 0.087 . PKNH_0602500 213 SRKEYSR|MG 0.086 . PKNH_0602500 216 EYSRMGR|IL 0.350 . PKNH_0602500 253 IHFTENR|NL 0.086 . PKNH_0602500 260 NLYTNVK|VG 0.062 . PKNH_0602500 267 VGGQPLK|LA 0.063 . PKNH_0602500 273 KLALNSR|VE 0.103 . PKNH_0602500 282 GIYVFMK|DS 0.082 . PKNH_0602500 296 GEEGMNR|IC 0.077 . PKNH_0602500 302 RICYDPK|TS 0.064 . PKNH_0602500 305 YDPKTSR|NS 0.079 . PKNH_0602500 323 LPAILSR|PY 0.092 . PKNH_0602500 338 NLLLENK|AE 0.057 . PKNH_0602500 350 MYYDSLK|FT 0.082 . PKNH_0602500 368 VELLDWR|RD 0.067 . PKNH_0602500 369 ELLDWRR|DD 0.126 . PKNH_0602500 372 DWRRDDR|AT 0.184 . PKNH_0602500 388 PINNLVR|RG 0.097 . PKNH_0602500 389 INNLVRR|GE 0.202 . PKNH_0602500 401 FQNTDIK|LI 0.061 . PKNH_0602500 416 NGWSLFK|DT 0.074 . PKNH_0602500 427 MMGLAGR|EL 0.087 . PKNH_0602500 432 GRELSCR|HV 0.182 . PKNH_0602500 443 WNSIIEK|NK 0.064 . PKNH_0602500 445 SIIEKNK|SL 0.090 . PKNH_0602500 460 LPEGSVK|PF 0.065 . PKNH_0602500 472 ASQNDSK|KV 0.095 . PKNH_0602500 473 SQNDSKK|VG 0.125 . PKNH_0602500 480 VGSSYGK|FV 0.116 . PKNH_0602500 484 YGKFVSK|KA 0.081 . PKNH_0602500 485 GKFVSKK|AS 0.176 . PKNH_0602500 489 SKKASTK|KG 0.071 . PKNH_0602500 490 KKASTKK|GD 0.145 . PKNH_0602500 497 GDAATER|NG 0.107 . PKNH_0602500 510 IHIGDYK|KN 0.060 . PKNH_0602500 511 HIGDYKK|NF 0.143 . PKNH_0602500 522 IVWSEAR|ER 0.104 . PKNH_0602500 524 WSEARER|GG 0.083 . PKNH_0602500 550 ENNIFGK|YS 0.091 . PKNH_0602500 564 VIDLSSK|CL 0.053 . PKNH_0602500 570 KCLVLPK|MF 0.064 . PKNH_0602500 584 EYLPVNK|ND 0.056 . PKNH_0602500 588 VNKNDER|CI 0.083 . PKNH_0602500 592 DERCIPK|NK 0.068 . PKNH_0602500 594 RCIPKNK|EV 0.083 . PKNH_0602500 605 DESTIPR|MC 0.108 . PKNH_0602500 612 MCSVDPR|SR 0.104 . PKNH_0602500 614 SVDPRSR|PL 0.070 . PKNH_0602500 620 RPLPVLK|FY 0.064 . PKNH_0602500 647 SEEASQR|RG 0.083 . PKNH_0602500 648 EEASQRR|GI 0.274 . PKNH_0602500 689 SSENSGR|TT 0.100 . PKNH_0602500 692 NSGRTTK|PL 0.148 . PKNH_0602500 696 TTKPLIK|FG 0.067 . PKNH_0602500 715 VDQENYK|VG 0.059 . PKNH_0602500 721 KVGFVNK|KD 0.062 . PKNH_0602500 722 VGFVNKK|DY 0.106 . PKNH_0602500 730 YHFTNDR|CT 0.071 . PKNH_0602500 734 NDRCTQR|PV 0.142 . PKNH_0602500 768 TLNEETK|KC 0.070 . PKNH_0602500 769 LNEETKK|CE 0.090 . PKNH_0602500 776 CESISSR|FY 0.100 . PKNH_0602500 799 QSYYFYR|KS 0.101 . PKNH_0602500 800 SYYFYRK|SV 0.191 . PKNH_0602500 806 KSVHVAK|VS 0.078 . PKNH_0602500 810 VAKVSSR|-- 0.101 . ____________________________^_________________
  • Fasta :-

    >PKNH_0602500 ATGGATTTGTATCATGTAAAATGCAGAAGATGGTCTGTTCTGCCGTTTCTGTTGTATGGG TTACTTATTCTGTATGGGGGTTCGGAACGCAATGACTCAATGCCGAGGGAAAGTATCTGG GGTGGGGGCATCATCACGCCGGTAGGTTTCCTCTCAGGTTTAATGAATTTTAGTGTAACG GAAGGGAGAGGTGATAGGGGAAAAGAAAGCACCTTTGCTAAGGAGGATCATAAAATAAAT AATAGAATTAGCCGAAGGGTTATAAGTAGCAATGGAGAAGGATTTCATGCAACGGTGTAC TTCTCCGGTAGGAACAACGGAAGGGAAGAGTTACATAGTGAGGACGAGTCTGTGAACAGG TGGGATGGTATCCCTGATAAGGTTAGCCAGTTCATGCACAAGATGATAAACGTAAAATAT GAGAATTTGATGGAGGATGCAAGGAGAGGGGGGCTATTGTTGGAGAGAAATGAAATTTCC CACTTTGGATGGAAGGCCAATGAAGCCATAAACTTATCCCCGATGGATGAAGAAGAGTCT ATTAAATGGAAATGGAAGAAGGAAAAAGAAGAATCAGCTTCAGTTAAGTTTGGTCCTAAT AACAAGTGCTTTTTTCTCTCCCGGAAGGAGTACAGCCGGATGGGAAGAATTCTTTCCTCT GCCAACGAGGACCATCCAGAAGAATCAACCATTGGTGTACCTAACGGGGATGATACCTTC GAAGGAAGTGTATTAAATATCCATTTCACTGAGAACAGAAATCTATATACGAATGTAAAG GTCGGAGGGCAACCTCTGAAGCTGGCACTCAACAGTAGAGTCGAGGGCATATATGTATTT ATGAAGGATTCGCAAGCATGCTACGTAGGTGAGGAGGGGATGAATAGAATTTGTTACGAT CCCAAGACATCTAGAAATTCTACGTGGTGCAACAACGACCTTCTATGCCTCCCGGCCATT TTGTCCAGGCCATATGAATGCTACAGCGACAGCAATCTGCTGTTGGAGAACAAGGCAGAG TACCCGAGCATGTATTACGATTCGCTCAAGTTCACGGAGAGCCATGTGGAGGGGTCAGAC GATGTGGAGCTACTGGACTGGAGAAGGGATGACAGAGCTACCAACGAGACGAGCTCGGCC AACCCTATCAACAACCTGGTAAGAAGGGGGGAGGACAATACCTTCCAGAATACAGATATC AAGTTGATCACAGATCTGAGCGTTTACAATGGATGGAGTCTATTTAAAGACACTGATGGG ATGATGGGACTTGCCGGAAGGGAACTAAGCTGCAGGCATGTCAGTGCGTGGAACAGTATC ATCGAGAAGAACAAGTCCTTGTACGCCCTAGATGTTAATTTGCCCGAAGGATCAGTGAAA CCGTTCGTAGAGTCAGCTAGCCAAAATGATTCCAAAAAAGTGGGTTCATCTTATGGAAAA TTCGTTTCTAAAAAGGCAAGCACAAAAAAAGGAGATGCAGCAACGGAAAGAAATGGAACA ATATCAGAAATACACATAGGAGATTATAAAAAGAACTTTGGGCCAATCGTATGGTCAGAG GCGAGAGAAAGAGGGGGAATTTTCTCGGACTCCTTCATGCAGTTTACCTTGTACAATTTA CAGGTATGTGAAAATAATATTTTTGGAAAGTATAGTAGCAATTGGCAGGGAGTAATAGAC CTAAGTAGTAAGTGTTTGGTCCTTCCGAAGATGTTTTGGCTCAGTCTGATGGAGTACTTA CCCGTGAACAAGAATGACGAGAGGTGCATTCCGAAGAATAAGGAAGTTAACTTTGATGAA AGTACCATACCGAGGATGTGTTCCGTCGACCCCCGCAGTAGGCCTCTACCCGTGTTGAAA TTTTATCTTTCGGATAACGACATAGTGAGTGATAACAACGTAGGGGGAATGAACGGTGCC AGTGAAGAAGCCTCACAGAGGAGAGGTATTGAGCAAGTCCATATTCCCCTGGACAACCTT ATTATTAATGAGGAGGGCCAAAACGATGGCTACCTCTGTGTGTTGCCAGATGTACACGAA GGAGTTTCTAGTGAAAACAGCGGAAGGACCACCAAGCCATTAATTAAGTTTGGCACCTAC GTAATTAATAATTTGTATGTAGTGGTGGACCAGGAGAATTACAAAGTAGGGTTCGTTAAC AAGAAGGATTACCACTTCACGAACGACAGATGCACACAGAGGCCCGTTTGTATAGGAAAT CAGTTTTACGAACCCGCCTTGAATATCTGTGTAGATCCCGATTGCTCCGTATGGTACTTT TACACGCTAAACGAGGAAACGAAGAAGTGCGAATCTATCTCCTCCCGCTTCTACGTTTTT CTGTTCATCCTGCTGCTCCTGCTGTTCATGGACATACAGTCATATTACTTCTACAGGAAG TCGGTGCACGTGGCGAAGGTGTCCTCGCGGTAG
  • Download Fasta
  • Fasta :-

    MDLYHVKCRRWSVLPFLLYGLLILYGGSERNDSMPRESIWGGGIITPVGFLSGLMNFSVT EGRGDRGKESTFAKEDHKINNRISRRVISSNGEGFHATVYFSGRNNGREELHSEDESVNR WDGIPDKVSQFMHKMINVKYENLMEDARRGGLLLERNEISHFGWKANEAINLSPMDEEES IKWKWKKEKEESASVKFGPNNKCFFLSRKEYSRMGRILSSANEDHPEESTIGVPNGDDTF EGSVLNIHFTENRNLYTNVKVGGQPLKLALNSRVEGIYVFMKDSQACYVGEEGMNRICYD PKTSRNSTWCNNDLLCLPAILSRPYECYSDSNLLLENKAEYPSMYYDSLKFTESHVEGSD DVELLDWRRDDRATNETSSANPINNLVRRGEDNTFQNTDIKLITDLSVYNGWSLFKDTDG MMGLAGRELSCRHVSAWNSIIEKNKSLYALDVNLPEGSVKPFVESASQNDSKKVGSSYGK FVSKKASTKKGDAATERNGTISEIHIGDYKKNFGPIVWSEARERGGIFSDSFMQFTLYNL QVCENNIFGKYSSNWQGVIDLSSKCLVLPKMFWLSLMEYLPVNKNDERCIPKNKEVNFDE STIPRMCSVDPRSRPLPVLKFYLSDNDIVSDNNVGGMNGASEEASQRRGIEQVHIPLDNL IINEEGQNDGYLCVLPDVHEGVSSENSGRTTKPLIKFGTYVINNLYVVVDQENYKVGFVN KKDYHFTNDRCTQRPVCIGNQFYEPALNICVDPDCSVWYFYTLNEETKKCESISSRFYVF LFILLLLLFMDIQSYYFYRKSVHVAKVSSR

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ID
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ID
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ID
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Score
Method
PKNH_0602500 173 S AINLSPMDE 0.993 unsp PKNH_0602500 173 S AINLSPMDE 0.993 unsp PKNH_0602500 173 S AINLSPMDE 0.993 unsp PKNH_0602500 194 S EESASVKFG 0.996 unsp PKNH_0602500 467 S VESASQNDS 0.995 unsp PKNH_0602500 487 S SKKASTKKG 0.996 unsp PKNH_0602500 33 S ERNDSMPRE 0.993 unsp PKNH_0602500 113 S EELHSEDES 0.997 unsp
Showing 1 to 1 of 1 rows

PK10_1740c      PKH_060240      



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