NF0013180 | peptidase a22b family protein

  • Computed_GO_Component_IDs:  GO:0016021      

  • Computed_GO_Components:  integral component of membrane      

  • Computed_GO_Function_IDs:  GO:0004190      

  • Computed_GO_Functions:  aspartic-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
NF0013180OTHER0.9788380.0173960.003767
No Results

  • Fasta :-

    >NF0013180 METELFTSYIALLIHAVVPIIIGSRQSLSSGQVESLETKDAFMFPVVGSCVLFSLYLCFK FLSEAWINFVMSAYFTILGIGAIATALHPLLNAIVPYHMTDKSKEGAQKYRYTLRIPVVG WTFEFSFVDIIGTIIGTIVGVIYIFTKHWITNNLFGECFSMVSIQLIQLGSYKVGAILLI GLFFYDIFWVFGTEVMVTVAKKFDAPIKVVWPKAGGFSLLGLGDIVIPGIFVALMLRFDY YLYKKYKRGEFSKTYFMVTFISYIIGLVLTITVLHIFRAGQPALLYIVPCVLGGSFMTAV FKGQVGELLAYHDDNLLEIENPELAEQKKKAAEEKKQD
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/NF0013180.fa Sequence name : NF0013180 Sequence length : 338 VALUES OF COMPUTED PARAMETERS Coef20 : 4.112 CoefTot : 0.000 ChDiff : 0 ZoneTo : 1 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.265 2.365 0.501 0.891 MesoH : 0.972 1.316 0.022 0.584 MuHd_075 : 4.985 1.683 0.549 1.329 MuHd_095 : 10.675 15.890 4.308 4.615 MuHd_100 : 9.885 11.553 4.471 3.290 MuHd_105 : 10.415 8.798 4.542 2.150 Hmax_075 : 15.283 16.683 2.403 6.230 Hmax_095 : 13.912 17.325 2.177 5.968 Hmax_100 : 17.700 18.800 3.645 6.100 Hmax_105 : 17.700 19.133 3.640 6.265 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8975 0.1025 DFMC : 0.9443 0.0557
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 338 NF0013180 METELFTSYIALLIHAVVPIIIGSRQSLSSGQVESLETKDAFMFPVVGSCVLFSLYLCFKFLSEAWINFVMSAYFTILGI 80 GAIATALHPLLNAIVPYHMTDKSKEGAQKYRYTLRIPVVGWTFEFSFVDIIGTIIGTIVGVIYIFTKHWITNNLFGECFS 160 MVSIQLIQLGSYKVGAILLIGLFFYDIFWVFGTEVMVTVAKKFDAPIKVVWPKAGGFSLLGLGDIVIPGIFVALMLRFDY 240 YLYKKYKRGEFSKTYFMVTFISYIIGLVLTITVLHIFRAGQPALLYIVPCVLGGSFMTAVFKGQVGELLAYHDDNLLEIE 320 NPELAEQKKKAAEEKKQD 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 .................. 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ NF0013180 25 PIIIGSR|QS 0.072 . NF0013180 39 VESLETK|DA 0.079 . NF0013180 60 SLYLCFK|FL 0.074 . NF0013180 102 PYHMTDK|SK 0.093 . NF0013180 104 HMTDKSK|EG 0.066 . NF0013180 109 SKEGAQK|YR 0.065 . NF0013180 111 EGAQKYR|YT 0.118 . NF0013180 115 KYRYTLR|IP 0.082 . NF0013180 147 VIYIFTK|HW 0.067 . NF0013180 173 IQLGSYK|VG 0.058 . NF0013180 201 VMVTVAK|KF 0.068 . NF0013180 202 MVTVAKK|FD 0.101 . NF0013180 208 KFDAPIK|VV 0.081 . NF0013180 213 IKVVWPK|AG 0.086 . NF0013180 237 FVALMLR|FD 0.068 . NF0013180 244 FDYYLYK|KY 0.069 . NF0013180 245 DYYLYKK|YK 0.085 . NF0013180 247 YLYKKYK|RG 0.067 . NF0013180 248 LYKKYKR|GE 0.150 . NF0013180 253 KRGEFSK|TY 0.076 . NF0013180 278 TVLHIFR|AG 0.084 . NF0013180 302 FMTAVFK|GQ 0.063 . NF0013180 328 PELAEQK|KK 0.062 . NF0013180 329 ELAEQKK|KA 0.127 . NF0013180 330 LAEQKKK|AA 0.173 . NF0013180 335 KKAAEEK|KQ 0.073 . NF0013180 336 KAAEEKK|QD 0.113 . ____________________________^_________________

  • Fasta :-

    >NF0013180 ATGGAAACAGAATTATTTACGAGTTATATTGCTCTTCTGATACATGCTGTAGTACCCATC ATAATCGGCAGCAGACAATCTCTTTCGTCCGGCCAAGTAGAATCTTTAGAAACCAAAGAT GCTTTTATGTTTCCCGTGGTTGGGTCGTGTGTCCTATTCAGTTTATATTTATGTTTCAAA TTCCTGAGCGAGGCTTGGATTAACTTTGTCATGAGCGCATATTTTACAATTTTGGGAATT GGAGCTATTGCAACAGCATTACATCCATTGTTGAATGCAATTGTACCATATCATATGACC GATAAGAGCAAAGAAGGGGCTCAAAAGTATCGTTACACCCTCCGCATTCCTGTTGTCGGT TGGACCTTTGAATTTTCGTTTGTTGACATCATTGGCACAATTATTGGAACTATTGTTGGT GTTATTTATATTTTCACAAAACATTGGATTACAAACAACTTGTTCGGAGAATGTTTCTCA ATGGTCTCAATTCAATTAATTCAATTAGGATCTTACAAGGTTGGAGCCATTCTTTTGATT GGTCTTTTCTTTTATGACATTTTCTGGGTCTTTGGAACTGAAGTCATGGTCACTGTCGCC AAGAAATTTGATGCTCCGATCAAGGTTGTTTGGCCTAAAGCCGGTGGTTTTTCTCTTTTG GGCTTGGGTGACATTGTTATTCCAGGCATTTTTGTTGCGCTGATGCTAAGATTTGATTAT TATCTTTACAAGAAGTACAAGAGAGGAGAGTTTTCAAAGACATATTTCATGGTCACATTC ATTTCTTACATTATTGGGTTGGTCCTTACCATTACCGTACTGCACATTTTCCGTGCTGGA CAACCTGCCTTGTTGTACATTGTACCATGTGTATTAGGAGGATCTTTTATGACTGCTGTG TTTAAGGGACAAGTTGGAGAATTATTAGCCTATCATGATGACAATCTTTTAGAGATTGAA AATCCAGAACTTGCTGAGCAAAAGAAAAAAGCAGCTGAGGAAAAGAAACAAGATTAA
  • Download Fasta

  • Fasta :-

    METELFTSYIALLIHAVVPIIIGSRQSLSSGQVESLETKDAFMFPVVGSCVLFSLYLCFK FLSEAWINFVMSAYFTILGIGAIATALHPLLNAIVPYHMTDKSKEGAQKYRYTLRIPVVG WTFEFSFVDIIGTIIGTIVGVIYIFTKHWITNNLFGECFSMVSIQLIQLGSYKVGAILLI GLFFYDIFWVFGTEVMVTVAKKFDAPIKVVWPKAGGFSLLGLGDIVIPGIFVALMLRFDY YLYKKYKRGEFSKTYFMVTFISYIIGLVLTITVLHIFRAGQPALLYIVPCVLGGSFMTAV FKGQVGELLAYHDDNLLEIENPELAEQKKKAAEEKKQD

    No Results
    No Results
No Results
No Results
No Results

     



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