• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0005515      

  • Computed_GO_Functions:  protein binding      

  • 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_00007865OTHER0.9999330.0000300.000037
No Results
  • Fasta :-

    >ETH_00007865 MAKPREHARLEKELLGLQQDREGKANDDEHDVYAEKWDTDISHWRGRIKGPLDTPYEGGV FILDINIPSDYPYNPPKINFVTKVWHPNVSSQTGAICLDILKHEWSPALSIRTALLSIQA MLADPVPTDPQDAEVAKMLIENPDLFQKTARHWTETFAMNSTESQEDKVKKLADMGFDKE TARTALMNANWDETSALNSLLG
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/ETH_00007865.fa Sequence name : ETH_00007865 Sequence length : 202 VALUES OF COMPUTED PARAMETERS Coef20 : 3.244 CoefTot : -0.090 ChDiff : -11 ZoneTo : 5 KR : 2 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.765 1.259 0.018 0.399 MesoH : -0.444 0.208 -0.387 0.235 MuHd_075 : 12.449 10.572 5.141 3.385 MuHd_095 : 12.213 4.483 0.820 3.035 MuHd_100 : 18.272 5.437 2.017 4.077 MuHd_105 : 26.225 10.538 4.294 5.700 Hmax_075 : -10.150 6.183 -3.717 0.817 Hmax_095 : -8.400 -0.787 -4.703 0.720 Hmax_100 : -7.700 2.300 -5.010 0.950 Hmax_105 : -4.200 3.150 -4.395 1.773 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9738 0.0262 DFMC : 0.9591 0.0409
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 202 ETH_00007865 MAKPREHARLEKELLGLQQDREGKANDDEHDVYAEKWDTDISHWRGRIKGPLDTPYEGGVFILDINIPSDYPYNPPKINF 80 VTKVWHPNVSSQTGAICLDILKHEWSPALSIRTALLSIQAMLADPVPTDPQDAEVAKMLIENPDLFQKTARHWTETFAMN 160 STESQEDKVKKLADMGFDKETARTALMNANWDETSALNSLLG 240 ................................................................................ 80 ................................................................................ 160 .......................................... 240 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ ETH_00007865 3 ----MAK|PR 0.070 . ETH_00007865 5 --MAKPR|EH 0.101 . ETH_00007865 9 KPREHAR|LE 0.102 . ETH_00007865 12 EHARLEK|EL 0.116 . ETH_00007865 21 LGLQQDR|EG 0.077 . ETH_00007865 24 QQDREGK|AN 0.141 . ETH_00007865 36 HDVYAEK|WD 0.064 . ETH_00007865 45 TDISHWR|GR 0.117 . ETH_00007865 47 ISHWRGR|IK 0.133 . ETH_00007865 49 HWRGRIK|GP 0.067 . ETH_00007865 77 YPYNPPK|IN 0.073 . ETH_00007865 83 KINFVTK|VW 0.088 . ETH_00007865 102 ICLDILK|HE 0.051 . ETH_00007865 112 SPALSIR|TA 0.131 . ETH_00007865 137 QDAEVAK|ML 0.084 . ETH_00007865 148 NPDLFQK|TA 0.069 . ETH_00007865 151 LFQKTAR|HW 0.144 . ETH_00007865 168 TESQEDK|VK 0.077 . ETH_00007865 170 SQEDKVK|KL 0.073 . ETH_00007865 171 QEDKVKK|LA 0.175 . ETH_00007865 179 ADMGFDK|ET 0.062 . ETH_00007865 183 FDKETAR|TA 0.088 . ____________________________^_________________
  • Fasta :-

    >ETH_00007865 ATGGCAAAACCTAGGGAACATGCAAGACTCGAAAAGGAGCTGCTGGGTCTGCAACAAGAC AGGGAAGGAAAGGCAAATGACGACGAGCATGACGTCTATGCAGAGAAATGGGATACAGAC ATATCGCACTGGAGAGGGCGAATCAAAGGGCCTTTAGACACGCCGTACGAAGGAGGCGTC TTCATACTCGACATTAACATTCCCTCCGATTATCCGTACAACCCTCCCAAGATAAACTTC GTGACGAAGGTGTGGCACCCGAACGTGTCGTCTCAGACAGGTGCCATTTGCCTTGATATT CTCAAACATGAATGGTCCCCTGCATTGTCCATAAGGACAGCTTTGCTTTCAATTCAAGCC ATGCTTGCGGACCCCGTGCCTACAGATCCTCAAGACGCAGAAGTCGCCAAAATGCTCATT GAAAATCCAGATCTGTTTCAGAAGACCGCGCGCCACTGGACGGAAACGTTCGCCATGAAC TCTACAGAATCACAGGAAGATAAGGTTAAGAAGCTGGCGGACATGGGATTCGACAAGGAA ACCGCTCGAACGGCGCTGATGAATGCAAATTGGGATGAGACATCGGCATTGAATTCTTTG CTGGGGTAA
  • Download Fasta
  • Fasta :-

    MAKPREHARLEKELLGLQQDREGKANDDEHDVYAEKWDTDISHWRGRIKGPLDTPYEGGV FILDINIPSDYPYNPPKINFVTKVWHPNVSSQTGAICLDILKHEWSPALSIRTALLSIQA MLADPVPTDPQDAEVAKMLIENPDLFQKTARHWTETFAMNSTESQEDKVKKLADMGFDKE TARTALMNANWDETSALNSLLG

  • title: active site cysteine
  • coordinates: C97
No Results
No Results
IDSitePeptideScoreMethod
ETH_00007865164 SNSTESQEDK0.997unsp

     



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