• Computed_GO_Component_IDs:  GO:0016021      

  • Computed_GO_Components:  integral component of membrane      

  • Computed_GO_Function_IDs:  GO:0004252      

  • Computed_GO_Functions:  serine-type endopeptidase activity      

  • 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
ETH_00020020OTHER0.9999720.0000020.000027
No Results
  • Fasta :-

    >ETH_00020020 MVVRTLADLRKEDEQRNRDAETGEALPLIRAETRSTDSSISSGGSASVSRTTALRVLDLL FPYFRLRSLLLLISVADWVVFITTLALDSEMPLVPSIGILVTFGANVPPLVAKGQVWRLL TASFLHANLLHVAFNVFFQLRMGFGIERRYGYLKFALLYAAAAIYGNLLSAAALFCGTVK VGASTAGFGMMGVEMAELALSWRRLQHRDRLLTNIISFFLLMGLFAFTLNGGYIDQMGHL GGLICGLSLGFLYNKDMQDKPRWWSFAMWCSVFLLVALPASCVPVIFAVNRGCTL
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/ETH_00020020.fa Sequence name : ETH_00020020 Sequence length : 295 VALUES OF COMPUTED PARAMETERS Coef20 : 4.109 CoefTot : 0.398 ChDiff : 6 ZoneTo : 7 KR : 1 DE : 0 CleavSite : 14 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.235 2.482 0.539 0.814 MesoH : 0.739 1.232 -0.048 0.494 MuHd_075 : 21.238 8.799 3.366 3.223 MuHd_095 : 18.552 13.443 4.910 4.655 MuHd_100 : 25.439 17.325 7.219 6.182 MuHd_105 : 27.388 19.354 8.401 6.483 Hmax_075 : -20.067 -3.238 -7.327 -0.500 Hmax_095 : -11.812 1.313 -4.392 -0.254 Hmax_100 : -15.500 4.500 -4.352 0.220 Hmax_105 : -11.500 9.333 -2.758 1.167 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8665 0.1335 DFMC : 0.8763 0.1237
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 295 ETH_00020020 MVVRTLADLRKEDEQRNRDAETGEALPLIRAETRSTDSSISSGGSASVSRTTALRVLDLLFPYFRLRSLLLLISVADWVV 80 FITTLALDSEMPLVPSIGILVTFGANVPPLVAKGQVWRLLTASFLHANLLHVAFNVFFQLRMGFGIERRYGYLKFALLYA 160 AAAIYGNLLSAAALFCGTVKVGASTAGFGMMGVEMAELALSWRRLQHRDRLLTNIISFFLLMGLFAFTLNGGYIDQMGHL 240 GGLICGLSLGFLYNKDMQDKPRWWSFAMWCSVFLLVALPASCVPVIFAVNRGCTL 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ....................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ ETH_00020020 4 ---MVVR|TL 0.089 . ETH_00020020 10 RTLADLR|KE 0.070 . ETH_00020020 11 TLADLRK|ED 0.093 . ETH_00020020 16 RKEDEQR|NR 0.092 . ETH_00020020 18 EDEQRNR|DA 0.202 . ETH_00020020 30 EALPLIR|AE 0.078 . ETH_00020020 34 LIRAETR|ST 0.171 . ETH_00020020 50 GSASVSR|TT 0.084 . ETH_00020020 55 SRTTALR|VL 0.084 . ETH_00020020 65 LLFPYFR|LR 0.071 . ETH_00020020 67 FPYFRLR|SL 0.103 . ETH_00020020 113 VPPLVAK|GQ 0.069 . ETH_00020020 118 AKGQVWR|LL 0.119 . ETH_00020020 141 NVFFQLR|MG 0.099 . ETH_00020020 148 MGFGIER|RY 0.080 . ETH_00020020 149 GFGIERR|YG 0.117 . ETH_00020020 154 RRYGYLK|FA 0.069 . ETH_00020020 180 LFCGTVK|VG 0.053 . ETH_00020020 203 ELALSWR|RL 0.078 . ETH_00020020 204 LALSWRR|LQ 0.088 . ETH_00020020 208 WRRLQHR|DR 0.091 . ETH_00020020 210 RLQHRDR|LL 0.107 . ETH_00020020 255 LGFLYNK|DM 0.068 . ETH_00020020 260 NKDMQDK|PR 0.067 . ETH_00020020 262 DMQDKPR|WW 0.143 . ETH_00020020 291 VIFAVNR|GC 0.090 . ____________________________^_________________
  • Fasta :-

    >ETH_00020020 ATGGTTGTCCGCACGTTGGCAGACCTCCGCAAGGAGGATGAGCAGCGCAACAGAGATGCG GAAACGGGTGAGGCCTTACCTCTTATACGAGCTGAGACGCGGAGCACAGACAGTAGCATT TCCAGTGGGGGTTCTGCCTCTGTTAGTAGGACGACAGCCTTGAGGGTGCTGGACTTGCTT TTTCCCTACTTCAGGCTGCGATCTTTGCTGCTTCTCATCTCTGTAGCAGATTGGGTTGTT TTCATTACAACGCTTGCCCTAGACTCGGAGATGCCTCTAGTTCCATCTATTGGAATCTTG GTCACTTTTGGCGCAAATGTCCCTCCTTTGGTGGCCAAGGGCCAGGTTTGGAGGCTGTTG ACAGCTTCTTTTTTGCATGCTAATTTGTTACACGTGGCCTTCAATGTCTTTTTCCAGTTG CGAATGGGATTTGGCATTGAGCGGCGGTATGGCTATTTGAAGTTCGCTCTGCTCTACGCC GCGGCAGCTATCTATGGCAACCTGCTCTCAGCAGCAGCACTTTTTTGCGGTACAGTGAAG GTTGGTGCTAGCACAGCAGGCTTCGGGATGATGGGGGTGGAGATGGCCGAACTGGCACTG AGCTGGCGGCGACTGCAGCATCGGGACCGTTTGCTGACAAACATTATCTCGTTCTTCTTG CTTATGGGCCTCTTTGCCTTCACCCTTAACGGCGGTTATATCGACCAGATGGGTCACCTG GGAGGCCTTATTTGCGGACTATCCCTGGGGTTTCTTTACAACAAGGATATGCAAGACAAA CCACGGTGGTGGTCATTCGCCATGTGGTGTTCAGTCTTCTTGCTCGTTGCGCTTCCAGCA TCTTGCGTGCCTGTTATCTTCGCTGTTAACAGGGGTTGTACTTTGTAG
  • Download Fasta
  • Fasta :-

    MVVRTLADLRKEDEQRNRDAETGEALPLIRAETRSTDSSISSGGSASVSRTTALRVLDLL FPYFRLRSLLLLISVADWVVFITTLALDSEMPLVPSIGILVTFGANVPPLVAKGQVWRLL TASFLHANLLHVAFNVFFQLRMGFGIERRYGYLKFALLYAAAAIYGNLLSAAALFCGTVK VGASTAGFGMMGVEMAELALSWRRLQHRDRLLTNIISFFLLMGLFAFTLNGGYIDQMGHL GGLICGLSLGFLYNKDMQDKPRWWSFAMWCSVFLLVALPASCVPVIFAVNRGCTL

    No Results
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Dinesh Gupta lab Translational bioinformatics group, ICGEB, New Delhi, India