• 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:        

_IDPredictionOTHERSPmTPCS_Position
NF0067420OTHER0.9991530.0008010.000046
No Results
  • Fasta :-

    >NF0067420 MSPTVAASTTTINTTITTGENMNVEKEESVHIITNNHQEQLIGILCTVMTRSSNIHENSP QQNHGSQNNKKPIAVLCHGLACHKNYFIFPRMESNEYDTFRFDFSGNGESDGEFSYANYH KEVEDLHCVINYLKEKLNYSKISIIGHSKGGNVVLQYASKYPQELQHGVVVNISGRFDMS KTPMNRFSESERHQLENEGIFLWKVFTLEPSLCVRKKQEITTPTNNEEGLTRRYYVTKEA LQERESLNTKIEFNLLYPLKLYSIHGDNDDVIPFQDSQEFHEFLLEQMRKRNLIDRFSHQ VICVKGANHFFAGHYETLIGILKDLLAKE
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/NF0067420.fa Sequence name : NF0067420 Sequence length : 329 VALUES OF COMPUTED PARAMETERS Coef20 : 4.357 CoefTot : -0.131 ChDiff : -8 ZoneTo : 19 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.176 1.147 0.008 0.469 MesoH : -1.126 -0.180 -0.629 0.081 MuHd_075 : 11.842 14.913 3.878 3.888 MuHd_095 : 6.635 13.481 2.829 3.166 MuHd_100 : 9.568 14.483 3.208 3.310 MuHd_105 : 10.287 11.935 3.088 3.175 Hmax_075 : 13.825 10.763 2.191 3.850 Hmax_095 : 15.200 12.900 2.538 4.260 Hmax_100 : 15.200 12.900 2.538 4.260 Hmax_105 : 14.233 15.750 2.117 3.430 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8610 0.1390 DFMC : 0.8094 0.1906
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 329 NF0067420 MSPTVAASTTTINTTITTGENMNVEKEESVHIITNNHQEQLIGILCTVMTRSSNIHENSPQQNHGSQNNKKPIAVLCHGL 80 ACHKNYFIFPRMESNEYDTFRFDFSGNGESDGEFSYANYHKEVEDLHCVINYLKEKLNYSKISIIGHSKGGNVVLQYASK 160 YPQELQHGVVVNISGRFDMSKTPMNRFSESERHQLENEGIFLWKVFTLEPSLCVRKKQEITTPTNNEEGLTRRYYVTKEA 240 LQERESLNTKIEFNLLYPLKLYSIHGDNDDVIPFQDSQEFHEFLLEQMRKRNLIDRFSHQVICVKGANHFFAGHYETLIG 320 ILKDLLAKE 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ......... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ NF0067420 26 ENMNVEK|EE 0.071 . NF0067420 51 LCTVMTR|SS 0.120 . NF0067420 70 HGSQNNK|KP 0.077 . NF0067420 71 GSQNNKK|PI 0.130 . NF0067420 84 HGLACHK|NY 0.060 . NF0067420 91 NYFIFPR|ME 0.126 . NF0067420 101 NEYDTFR|FD 0.115 . NF0067420 121 SYANYHK|EV 0.100 . NF0067420 134 CVINYLK|EK 0.051 . NF0067420 136 INYLKEK|LN 0.065 . NF0067420 141 EKLNYSK|IS 0.060 . NF0067420 149 SIIGHSK|GG 0.069 . NF0067420 160 VLQYASK|YP 0.067 . NF0067420 176 VVNISGR|FD 0.104 . NF0067420 181 GRFDMSK|TP 0.064 . NF0067420 186 SKTPMNR|FS 0.125 . NF0067420 192 RFSESER|HQ 0.121 . NF0067420 204 EGIFLWK|VF 0.057 . NF0067420 215 EPSLCVR|KK 0.090 . NF0067420 216 PSLCVRK|KQ 0.080 . NF0067420 217 SLCVRKK|QE 0.117 . NF0067420 232 NEEGLTR|RY 0.074 . NF0067420 233 EEGLTRR|YY 0.156 . NF0067420 238 RRYYVTK|EA 0.093 . NF0067420 244 KEALQER|ES 0.074 . NF0067420 250 RESLNTK|IE 0.061 . NF0067420 260 NLLYPLK|LY 0.067 . NF0067420 289 FLLEQMR|KR 0.070 . NF0067420 290 LLEQMRK|RN 0.072 . NF0067420 291 LEQMRKR|NL 0.209 . NF0067420 296 KRNLIDR|FS 0.174 . NF0067420 305 HQVICVK|GA 0.073 . NF0067420 323 TLIGILK|DL 0.071 . NF0067420 328 LKDLLAK|E- 0.062 . ____________________________^_________________
  • Fasta :-

    >NF0067420 ATGAGTCCAACAGTTGCTGCCAGTACGACTACCATCAACACCACCATCACCACTGGTGAG AACATGAACGTGGAAAAAGAAGAATCCGTTCATATCATTACAAATAATCATCAGGAACAA TTAATCGGAATACTTTGTACAGTGATGACAAGATCATCAAATATACATGAAAACTCGCCT CAGCAGAACCATGGTTCTCAAAATAACAAAAAACCAATAGCTGTTCTTTGTCATGGATTG GCATGCCATAAAAATTATTTTATTTTTCCAAGAATGGAAAGTAATGAATACGATACGTTT AGATTTGATTTTTCTGGTAATGGAGAAAGTGATGGTGAATTTTCATATGCCAATTATCAC AAGGAAGTTGAAGATTTACATTGTGTGATTAATTATCTGAAAGAGAAATTAAATTATTCC AAAATTTCAATTATTGGACATTCAAAAGGTGGAAATGTTGTGTTGCAATATGCCAGCAAA TATCCTCAAGAGTTACAACATGGAGTTGTTGTGAATATTTCTGGAAGGTTTGATATGAGT AAAACTCCTATGAACAGATTTTCAGAGAGTGAAAGACATCAATTGGAAAATGAAGGAATA TTCTTGTGGAAAGTTTTCACATTAGAGCCATCTCTTTGTGTACGAAAAAAGCAAGAAATA ACAACACCAACTAATAATGAGGAAGGATTGACGAGACGATACTACGTGACAAAGGAAGCA TTACAAGAAAGAGAATCATTGAACACCAAAATTGAATTTAATCTTCTGTATCCTTTAAAA CTGTATTCCATACATGGAGACAATGACGATGTCATTCCTTTTCAAGATAGCCAAGAGTTT CATGAATTCTTATTGGAACAGATGAGAAAAAGGAATTTAATAGATAGATTTTCTCACCAA GTAATATGTGTGAAAGGAGCTAATCATTTCTTTGCAGGACATTATGAAACATTAATTGGA ATCTTAAAGGACCTCCTGGCAAAAGAATAA
  • Download Fasta
  • Fasta :-

    MSPTVAASTTTINTTITTGENMNVEKEESVHIITNNHQEQLIGILCTVMTRSSNIHENSP QQNHGSQNNKKPIAVLCHGLACHKNYFIFPRMESNEYDTFRFDFSGNGESDGEFSYANYH KEVEDLHCVINYLKEKLNYSKISIIGHSKGGNVVLQYASKYPQELQHGVVVNISGRFDMS KTPMNRFSESERHQLENEGIFLWKVFTLEPSLCVRKKQEITTPTNNEEGLTRRYYVTKEA LQERESLNTKIEFNLLYPLKLYSIHGDNDDVIPFQDSQEFHEFLLEQMRKRNLIDRFSHQ VICVKGANHFFAGHYETLIGILKDLLAKE

    No Results
IDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscore
NF0067420T40.6820.381NF0067420S20.6210.076NF0067420T90.5940.105NF0067420T100.5740.040NF0067420T150.5460.104NF0067420T170.5430.081NF0067420T110.5390.058NF0067420T140.5340.041NF0067420T180.5220.082
IDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscore
NF0067420T40.6820.381NF0067420S20.6210.076NF0067420T90.5940.105NF0067420T100.5740.040NF0067420T150.5460.104NF0067420T170.5430.081NF0067420T110.5390.058NF0067420T140.5340.041NF0067420T180.5220.082
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
NF0067420188 SMNRFSESER0.991unspNF0067420277 SPFQDSQEFH0.992unsp

     



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