EDI_002800 | hypothetical protein, conserved

  • 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
EDI_002800OTHER0.9999820.0000160.000002
No Results

  • Fasta :-

    >EDI_002800 MHSPPHNNIHTFDWSNEKEGRHEVRVVYKDMDDDGEPTPTSTAKAQLYGVDGNPQEFEVS VPVNYFKLYGYSCCPCFIPPPCSPANSHRYCLALFSASFMLSIVQIIMLIVEISLDGFEK PSINWMLGPTSKAMNTLGAKNDYEIKCNYQLWRLITPIFLHGGIIHLICNLTMQLRLGMI IERRWNSFRFLVVYFVSGIIGNCFSIICQPTSIGVGASGSLLGIFGGFVIDIIINKNKFE NRVWLNLIGRLMISIIIIFVFSFAPGIDYSAHIFGFIGGAICAFGLLAHQNPWITKRLWV KISVWIICPIICLAVILLTLLLLYLGVLNVGECN
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EDI_002800.fa Sequence name : EDI_002800 Sequence length : 334 VALUES OF COMPUTED PARAMETERS Coef20 : 2.535 CoefTot : -1.379 ChDiff : 1 ZoneTo : 12 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.476 3.176 0.745 0.939 MesoH : 1.185 1.620 0.141 0.633 MuHd_075 : 24.532 9.102 5.853 3.392 MuHd_095 : 19.747 12.783 8.072 3.335 MuHd_100 : 21.327 13.079 7.200 3.379 MuHd_105 : 17.880 10.975 5.080 2.659 Hmax_075 : 6.767 -0.117 -2.948 2.788 Hmax_095 : 0.200 -1.000 -3.344 1.920 Hmax_100 : 3.700 -0.200 -2.529 1.620 Hmax_105 : 2.800 0.100 -3.213 2.000 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9982 0.0018 DFMC : 0.9971 0.0029
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 334 EDI_002800 MHSPPHNNIHTFDWSNEKEGRHEVRVVYKDMDDDGEPTPTSTAKAQLYGVDGNPQEFEVSVPVNYFKLYGYSCCPCFIPP 80 PCSPANSHRYCLALFSASFMLSIVQIIMLIVEISLDGFEKPSINWMLGPTSKAMNTLGAKNDYEIKCNYQLWRLITPIFL 160 HGGIIHLICNLTMQLRLGMIIERRWNSFRFLVVYFVSGIIGNCFSIICQPTSIGVGASGSLLGIFGGFVIDIIINKNKFE 240 NRVWLNLIGRLMISIIIIFVFSFAPGIDYSAHIFGFIGGAICAFGLLAHQNPWITKRLWVKISVWIICPIICLAVILLTL 320 LLLYLGVLNVGECN 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 .............. 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EDI_002800 18 FDWSNEK|EG 0.058 . EDI_002800 21 SNEKEGR|HE 0.085 . EDI_002800 25 EGRHEVR|VV 0.136 . EDI_002800 29 EVRVVYK|DM 0.089 . EDI_002800 44 TPTSTAK|AQ 0.076 . EDI_002800 67 VPVNYFK|LY 0.065 . EDI_002800 89 SPANSHR|YC 0.152 . EDI_002800 120 SLDGFEK|PS 0.063 . EDI_002800 132 MLGPTSK|AM 0.063 . EDI_002800 140 MNTLGAK|ND 0.059 . EDI_002800 146 KNDYEIK|CN 0.061 . EDI_002800 153 CNYQLWR|LI 0.122 . EDI_002800 176 NLTMQLR|LG 0.080 . EDI_002800 183 LGMIIER|RW 0.074 . EDI_002800 184 GMIIERR|WN 0.125 . EDI_002800 189 RRWNSFR|FL 0.134 . EDI_002800 236 IDIIINK|NK 0.060 . EDI_002800 238 IIINKNK|FE 0.069 . EDI_002800 242 KNKFENR|VW 0.083 . EDI_002800 250 WLNLIGR|LM 0.084 . EDI_002800 296 QNPWITK|RL 0.064 . EDI_002800 297 NPWITKR|LW 0.196 . EDI_002800 301 TKRLWVK|IS 0.074 . ____________________________^_________________

  • Fasta :-

    >EDI_002800 ATGCATTCTCCACCACATAACAATATACATACGTTTGATTGGAGTAATGAGAAAGAGGGG AGACATGAAGTTCGAGTTGTTTACAAAGATATGGATGATGATGGAGAGCCAACACCTACT TCAACAGCTAAAGCTCAATTATATGGGGTAGATGGAAATCCTCAAGAATTTGAAGTGTCA GTCCCTGTGAATTATTTTAAGCTTTATGGATATTCATGTTGTCCATGTTTTATTCCACCA CCATGCTCACCAGCAAATTCACATAGGTATTGTTTAGCACTATTTTCAGCAAGTTTTATG TTATCAATTGTTCAAATCATTATGTTAATTGTAGAAATTTCATTAGATGGGTTTGAGAAA CCATCAATTAATTGGATGTTAGGACCAACATCTAAAGCAATGAATACATTAGGAGCGAAG AATGATTATGAAATTAAATGTAATTACCAATTATGGAGATTAATAACACCTATTTTTCTT CATGGAGGAATTATTCATCTAATTTGTAATTTAACAATGCAATTACGACTTGGGATGATT ATAGAACGTAGATGGAATTCATTTAGATTTTTAGTTGTCTATTTTGTTAGTGGTATTATT GGGAATTGTTTTTCTATTATTTGTCAACCAACAAGTATTGGAGTTGGAGCTTCAGGGTCA TTACTTGGAATATTTGGAGGATTTGTTATTGACATTATAATTAATAAAAACAAATTTGAA AACAGAGTATGGTTAAACCTTATTGGAAGATTAATGATATCAATTATAATTATCTTTGTA TTTAGTTTTGCTCCTGGAATAGACTATTCAGCACATATCTTTGGTTTTATAGGAGGAGCA ATTTGTGCATTTGGATTACTTGCACATCAAAATCCTTGGATAACAAAAAGGTTATGGGTA AAAATAAGTGTATGGATAATTTGCCCAATAATATGTCTTGCAGTGATATTATTAACATTG TTATTATTATATCTTGGAGTACTCAATGTTGGGGAATGCAATTAA
  • Download Fasta

  • Fasta :-

    MHSPPHNNIHTFDWSNEKEGRHEVRVVYKDMDDDGEPTPTSTAKAQLYGVDGNPQEFEVS VPVNYFKLYGYSCCPCFIPPPCSPANSHRYCLALFSASFMLSIVQIIMLIVEISLDGFEK PSINWMLGPTSKAMNTLGAKNDYEIKCNYQLWRLITPIFLHGGIIHLICNLTMQLRLGMI IERRWNSFRFLVVYFVSGIIGNCFSIICQPTSIGVGASGSLLGIFGGFVIDIIINKNKFE NRVWLNLIGRLMISIIIIFVFSFAPGIDYSAHIFGFIGGAICAFGLLAHQNPWITKRLWV KISVWIICPIICLAVILLTLLLLYLGVLNVGECN

    No Results
No Results
No Results
No Results

EDI_002800      



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