• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0016787      

  • Computed_GO_Functions:  hydrolase activity      

  • Computed_GO_Process_IDs:  GO:0008152      

  • Computed_GO_Processes:  metabolic process      

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
LmjF.30.1380OTHER0.9979200.0013940.000686
No Results
  • Fasta :-

    >LmjF.30.1380 MVALRADMDALPEDEETDLPFKSQNKGAMHARGHEAHTAMLRSAAKVICARQADIEGSVR FIFQHAEELLPGGAKDLVAAGVMEGVKNIFGMHCSPRCEAGTVGLIPGINTSYADSFKLI IRGRGDHASTPQLLVDPVPITAEIVMAIQTITARKIDPRVVPVVSITTMTTGSSESHNVI PNEVKLMGTEWARDKAVREQVLRDIERIASNIAAAHGAAATSDFTFGHDCCDNDPEVTAQ VRCIGERILGSANIIDPKAPLYGGEDFSAYQLEKPGCFLWLGTADKSQGICEMCHSTKFR VDETALPVGVSFHVGYVYDNVMA
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/282 Sequence name : 282 Sequence length : 323 VALUES OF COMPUTED PARAMETERS Coef20 : 3.186 CoefTot : 0.539 ChDiff : -12 ZoneTo : 6 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.982 1.459 0.050 0.546 MesoH : -0.351 0.453 -0.263 0.252 MuHd_075 : 23.781 10.424 4.866 4.186 MuHd_095 : 9.078 6.459 2.334 2.746 MuHd_100 : 6.150 5.551 2.203 2.282 MuHd_105 : 10.791 6.421 2.918 2.366 Hmax_075 : -5.250 2.100 -3.091 1.654 Hmax_095 : -4.200 2.800 -3.547 2.120 Hmax_100 : -5.200 2.800 -3.306 1.960 Hmax_105 : -8.400 3.500 -2.909 1.590 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9849 0.0151 DFMC : 0.9690 0.0310
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 323 LmjF.30.1380 MVALRADMDALPEDEETDLPFKSQNKGAMHARGHEAHTAMLRSAAKVICARQADIEGSVRFIFQHAEELLPGGAKDLVAA 80 GVMEGVKNIFGMHCSPRCEAGTVGLIPGINTSYADSFKLIIRGRGDHASTPQLLVDPVPITAEIVMAIQTITARKIDPRV 160 VPVVSITTMTTGSSESHNVIPNEVKLMGTEWARDKAVREQVLRDIERIASNIAAAHGAAATSDFTFGHDCCDNDPEVTAQ 240 VRCIGERILGSANIIDPKAPLYGGEDFSAYQLEKPGCFLWLGTADKSQGICEMCHSTKFRVDETALPVGVSFHVGYVYDN 320 VMA 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmjF.30.1380 5 --MVALR|AD 0.105 . LmjF.30.1380 22 ETDLPFK|SQ 0.073 . LmjF.30.1380 26 PFKSQNK|GA 0.079 . LmjF.30.1380 32 KGAMHAR|GH 0.181 . LmjF.30.1380 42 AHTAMLR|SA 0.133 . LmjF.30.1380 46 MLRSAAK|VI 0.073 . LmjF.30.1380 51 AKVICAR|QA 0.130 . LmjF.30.1380 60 DIEGSVR|FI 0.097 . LmjF.30.1380 75 LLPGGAK|DL 0.079 . LmjF.30.1380 87 GVMEGVK|NI 0.060 . LmjF.30.1380 97 GMHCSPR|CE 0.100 . LmjF.30.1380 118 SYADSFK|LI 0.077 . LmjF.30.1380 122 SFKLIIR|GR 0.110 . LmjF.30.1380 124 KLIIRGR|GD 0.137 . LmjF.30.1380 154 IQTITAR|KI 0.091 . LmjF.30.1380 155 QTITARK|ID 0.076 . LmjF.30.1380 159 ARKIDPR|VV 0.123 . LmjF.30.1380 185 VIPNEVK|LM 0.061 . LmjF.30.1380 193 MGTEWAR|DK 0.095 . LmjF.30.1380 195 TEWARDK|AV 0.080 . LmjF.30.1380 198 ARDKAVR|EQ 0.071 . LmjF.30.1380 203 VREQVLR|DI 0.133 . LmjF.30.1380 207 VLRDIER|IA 0.115 . LmjF.30.1380 242 EVTAQVR|CI 0.096 . LmjF.30.1380 247 VRCIGER|IL 0.100 . LmjF.30.1380 258 ANIIDPK|AP 0.065 . LmjF.30.1380 274 SAYQLEK|PG 0.057 . LmjF.30.1380 286 WLGTADK|SQ 0.102 . LmjF.30.1380 298 EMCHSTK|FR 0.066 . LmjF.30.1380 300 CHSTKFR|VD 0.180 . ____________________________^_________________
  • Fasta :-

    >LmjF.30.1380 ATGGTGGCGCTGCGCGCCGACATGGACGCGCTGCCGGAGGACGAGGAGACGGATTTGCCT TTCAAGTCGCAGAACAAGGGTGCGATGCACGCGCGCGGGCACGAAGCGCACACTGCGATG CTGCGTAGCGCTGCAAAGGTGATCTGCGCGCGTCAGGCGGACATTGAGGGCAGCGTTCGG TTCATTTTCCAGCACGCGGAGGAGCTGCTGCCCGGCGGCGCCAAGGACCTTGTTGCTGCC GGCGTGATGGAGGGCGTGAAGAACATCTTTGGCATGCATTGCTCACCGCGGTGCGAAGCG GGCACTGTTGGTCTGATACCCGGCATCAACACAAGCTACGCGGATTCCTTCAAACTGATA ATCCGCGGTCGTGGCGACCACGCGTCGACCCCGCAGCTGCTTGTGGACCCCGTGCCAATT ACCGCCGAGATCGTGATGGCAATCCAGACGATTACTGCGCGCAAGATCGACCCGAGGGTG GTGCCCGTTGTTTCGATTACAACGATGACGACGGGATCGAGTGAGAGCCACAACGTGATC CCCAACGAGGTGAAGCTGATGGGGACTGAGTGGGCGCGGGACAAGGCTGTGCGTGAGCAG GTGCTGCGCGACATCGAGCGCATTGCGTCGAACATTGCTGCGGCACACGGTGCGGCTGCA ACGTCGGACTTCACGTTCGGGCACGACTGCTGCGACAACGACCCTGAAGTAACTGCGCAG GTGCGATGCATCGGCGAGCGCATTCTTGGCTCTGCCAACATCATCGATCCCAAGGCGCCG CTATACGGTGGTGAGGACTTTTCTGCGTACCAGTTGGAGAAGCCCGGCTGCTTCCTGTGG CTGGGTACGGCCGACAAGTCGCAGGGTATCTGCGAGATGTGCCACTCGACGAAGTTTCGT GTCGATGAGACCGCGCTCCCGGTTGGTGTCAGCTTCCACGTGGGCTACGTGTACGACAAC GTCATGGCATAA
  • Download Fasta
  • Fasta :-

    MVALRADMDALPEDEETDLPFKSQNKGAMHARGHEAHTAMLRSAAKVICARQADIEGSVR FIFQHAEELLPGGAKDLVAAGVMEGVKNIFGMHCSPRCEAGTVGLIPGINTSYADSFKLI IRGRGDHASTPQLLVDPVPITAEIVMAIQTITARKIDPRVVPVVSITTMTTGSSESHNVI PNEVKLMGTEWARDKAVREQVLRDIERIASNIAAAHGAAATSDFTFGHDCCDNDPEVTAQ VRCIGERILGSANIIDPKAPLYGGEDFSAYQLEKPGCFLWLGTADKSQGICEMCHSTKFR VDETALPVGVSFHVGYVYDNVMA

    No Results
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LmjF.30.1380      



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