• 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
NF0105870OTHER0.9997350.0002630.000002
No Results
  • Fasta :-

    >NF0105870 MPVHTIRDLNNNNDNPNRGQAPVPPGWGNSSGNGGGRTLGGRTLGGDSSSNTTRQPSTTG RVLGSGEAVSYQPSSANYADGGAIGGGGGFFSGFRNMFSGFGRSSNTTPSGGSYTATGQP VDVETGGAATISNDPYQNQYNMNEDMFWSYNLHNIQPQWYHMCLMCCCPCFVGPPCSPVR KQDYKNMLMTFCFWISIVQLIYFIVELSVGGFDPQNPSIGPSSLTLLKLGAKSSYYIKEK YELWRLVVPLIMHAGILHIFMNLFIQIMVCMGYEKNWRWYRVIPIYFISGIAGNLLSCVA MPASISVGASGAIMGLIGAKVSNIIVRWTRIPTQQKVMQCINVGIIIFITLLWSFSDYID WAGHIGGLVTGFILGFACFAVTEIQDKVYKWTIFSVSVGLTLVTLLTLSLVFGLVTDTSK YAL
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/NF0105870.fa Sequence name : NF0105870 Sequence length : 423 VALUES OF COMPUTED PARAMETERS Coef20 : 3.029 CoefTot : -0.357 ChDiff : 5 ZoneTo : 7 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.265 2.253 0.688 0.835 MesoH : 0.977 1.312 0.044 0.567 MuHd_075 : 26.273 8.670 5.599 4.172 MuHd_095 : 32.313 11.499 6.465 5.950 MuHd_100 : 39.829 16.894 9.509 7.733 MuHd_105 : 39.895 20.521 10.885 8.104 Hmax_075 : -7.817 -5.600 -5.763 -0.408 Hmax_095 : 0.437 -0.613 -2.827 1.549 Hmax_100 : -2.600 0.400 -3.367 1.380 Hmax_105 : 3.850 6.767 -0.671 3.570 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7473 0.2527 DFMC : 0.8351 0.1649
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 423 NF0105870 MPVHTIRDLNNNNDNPNRGQAPVPPGWGNSSGNGGGRTLGGRTLGGDSSSNTTRQPSTTGRVLGSGEAVSYQPSSANYAD 80 GGAIGGGGGFFSGFRNMFSGFGRSSNTTPSGGSYTATGQPVDVETGGAATISNDPYQNQYNMNEDMFWSYNLHNIQPQWY 160 HMCLMCCCPCFVGPPCSPVRKQDYKNMLMTFCFWISIVQLIYFIVELSVGGFDPQNPSIGPSSLTLLKLGAKSSYYIKEK 240 YELWRLVVPLIMHAGILHIFMNLFIQIMVCMGYEKNWRWYRVIPIYFISGIAGNLLSCVAMPASISVGASGAIMGLIGAK 320 VSNIIVRWTRIPTQQKVMQCINVGIIIFITLLWSFSDYIDWAGHIGGLVTGFILGFACFAVTEIQDKVYKWTIFSVSVGL 400 TLVTLLTLSLVFGLVTDTSKYAL 480 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ....................... 480 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ NF0105870 7 MPVHTIR|DL 0.123 . NF0105870 18 NNDNPNR|GQ 0.106 . NF0105870 37 SGNGGGR|TL 0.108 . NF0105870 42 GRTLGGR|TL 0.087 . NF0105870 54 SSSNTTR|QP 0.144 . NF0105870 61 QPSTTGR|VL 0.199 . NF0105870 95 GFFSGFR|NM 0.075 . NF0105870 103 MFSGFGR|SS 0.193 . NF0105870 180 PPCSPVR|KQ 0.089 . NF0105870 181 PCSPVRK|QD 0.106 . NF0105870 185 VRKQDYK|NM 0.062 . NF0105870 228 SSLTLLK|LG 0.053 . NF0105870 232 LLKLGAK|SS 0.071 . NF0105870 238 KSSYYIK|EK 0.065 . NF0105870 240 SYYIKEK|YE 0.065 . NF0105870 245 EKYELWR|LV 0.119 . NF0105870 275 VCMGYEK|NW 0.061 . NF0105870 278 GYEKNWR|WY 0.087 . NF0105870 281 KNWRWYR|VI 0.270 . NF0105870 320 MGLIGAK|VS 0.063 . NF0105870 327 VSNIIVR|WT 0.113 . NF0105870 330 IIVRWTR|IP 0.235 . NF0105870 336 RIPTQQK|VM 0.057 . NF0105870 387 VTEIQDK|VY 0.059 . NF0105870 390 IQDKVYK|WT 0.067 . NF0105870 420 LVTDTSK|YA 0.063 . ____________________________^_________________
  • Fasta :-

    >NF0105870 ATGCCTGTACATACCATTCGTGATTTAAATAACAACAACGATAATCCCAATAGAGGCCAA GCACCTGTTCCGCCTGGTTGGGGTAACTCATCGGGAAATGGTGGTGGTAGAACTCTTGGA GGAAGGACCCTAGGAGGAGATTCATCGTCCAACACTACAAGACAACCATCCACAACTGGA AGAGTATTAGGATCAGGAGAGGCTGTTTCCTATCAACCATCTTCAGCCAATTATGCAGAT GGAGGAGCCATAGGTGGTGGAGGAGGCTTTTTCTCAGGATTCAGAAACATGTTTTCAGGT TTTGGAAGAAGCAGCAATACTACTCCAAGTGGAGGAAGCTACACTGCTACAGGCCAACCT GTGGATGTTGAAACCGGTGGAGCTGCCACAATTTCCAATGACCCCTATCAAAATCAGTAC AATATGAATGAGGACATGTTTTGGAGTTATAATTTGCACAACATTCAACCTCAATGGTAT CATATGTGTTTAATGTGTTGTTGTCCATGTTTTGTTGGTCCACCATGCTCACCTGTTCGA AAACAAGATTACAAAAACATGTTAATGACATTCTGCTTTTGGATCTCAATCGTTCAATTA ATTTATTTCATTGTAGAGTTGTCAGTTGGCGGTTTTGATCCTCAAAATCCTTCTATTGGC CCATCGAGCCTAACATTGTTGAAATTAGGAGCCAAAAGTTCATACTATATCAAAGAAAAA TATGAATTATGGCGTCTGGTGGTTCCACTCATTATGCATGCAGGTATTTTGCATATATTC ATGAACTTGTTCATTCAAATTATGGTTTGCATGGGCTATGAAAAGAATTGGAGATGGTAC AGAGTAATTCCAATTTATTTCATTTCAGGCATTGCAGGAAATTTATTGAGCTGTGTTGCC ATGCCAGCCTCGATCTCCGTTGGAGCCTCTGGGGCCATTATGGGCTTAATTGGAGCCAAG GTTTCAAATATTATTGTTCGTTGGACCAGAATTCCAACTCAACAGAAAGTTATGCAATGT ATTAATGTTGGAATTATTATTTTCATCACTTTGTTGTGGAGTTTTAGTGATTATATTGAC TGGGCTGGACATATTGGTGGATTAGTGACTGGTTTCATTTTGGGATTTGCATGTTTTGCA GTTACGGAAATTCAAGACAAGGTGTACAAGTGGACAATATTCAGCGTTTCTGTTGGTTTG ACCCTAGTGACATTGCTTACATTGTCACTCGTTTTTGGATTAGTGACAGATACTTCCAAA TATGCCCTGTAA
  • Download Fasta
  • Fasta :-

    MPVHTIRDLNNNNDNPNRGQAPVPPGWGNSSGNGGGRTLGGRTLGGDSSSNTTRQPSTTG RVLGSGEAVSYQPSSANYADGGAIGGGGGFFSGFRNMFSGFGRSSNTTPSGGSYTATGQP VDVETGGAATISNDPYQNQYNMNEDMFWSYNLHNIQPQWYHMCLMCCCPCFVGPPCSPVR KQDYKNMLMTFCFWISIVQLIYFIVELSVGGFDPQNPSIGPSSLTLLKLGAKSSYYIKEK YELWRLVVPLIMHAGILHIFMNLFIQIMVCMGYEKNWRWYRVIPIYFISGIAGNLLSCVA MPASISVGASGAIMGLIGAKVSNIIVRWTRIPTQQKVMQCINVGIIIFITLLWSFSDYID WAGHIGGLVTGFILGFACFAVTEIQDKVYKWTIFSVSVGLTLVTLLTLSLVFGLVTDTSK YAL

    No Results
IDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscore
NF0105870T1170.6020.128NF0105870T1150.5820.048NF0105870T580.5370.088NF0105870T590.5330.263
IDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscoreIDSitePositionGscoreIscore
NF0105870T1170.6020.128NF0105870T1150.5820.048NF0105870T580.5370.088NF0105870T590.5330.263
IDSitePeptideScoreMethod
NF010587057 STRQPSTTGR0.994unsp

     



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