• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0004222      

  • Computed_GO_Functions:  metalloendopeptidase activity      

  • Computed_GO_Process_IDs:        

  • Computed_GO_Processes:        

  • Curated_GO_Component_IDs:  GO:0005737      

  • Curated_GO_Components:  cytoplasm      

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
LmjF.36.1690OTHER0.9988680.0011270.000005
No Results
  • Fasta :-

    >LmjF.36.1690 MGSLSSSSSSSAATGAGAAASQTDAQEVTPVDSLWSPHDVCEAAVDYVLRHVNTVQYMIQ SIEEITGKPFLRDRIKCLPAVPRDEASRNPTMGLTPDRVFAGYMWRSARSDCQAKDVVLL EDHIARLFNTKHATAFLKKDKGVNERAASPPTTSDAAATAASSLSTTATQSQLQRLLAGS QLPVLEQVERNIRHELVHAFDDARGAIESSDCVHQACSEIRAARLSGDCFVGQEMRKGRF NFFEGGQKCVRRRAVMAVDRNPVCRGFSERAVDTVFQKCYSDYEPFAAPIYALGSYGDSQ FANGTLKL
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/777 Sequence name : 777 Sequence length : 308 VALUES OF COMPUTED PARAMETERS Coef20 : 4.477 CoefTot : 1.071 ChDiff : -1 ZoneTo : 23 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.176 0.535 0.096 0.404 MesoH : -0.719 -0.026 -0.415 0.114 MuHd_075 : 4.592 6.333 1.640 1.541 MuHd_095 : 6.168 9.200 2.563 2.535 MuHd_100 : 6.081 8.082 2.203 2.201 MuHd_105 : 5.657 6.601 1.809 1.640 Hmax_075 : 8.400 7.200 0.602 3.080 Hmax_095 : 8.600 5.300 1.026 3.238 Hmax_100 : 9.800 7.500 1.133 2.870 Hmax_105 : 9.100 7.400 1.097 2.740 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7782 0.2218 DFMC : 0.4946 0.5054 This protein is probably imported in chloroplast. f(Ser) = 0.3913 f(Arg) = 0.0000 CMi = 5.59006 CMi is the Chloroplast/Mitochondria Index It has been proposed by Von Heijne et al (Eur J Biochem,1989, 180: 535-545)
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 308 LmjF.36.1690 MGSLSSSSSSSAATGAGAAASQTDAQEVTPVDSLWSPHDVCEAAVDYVLRHVNTVQYMIQSIEEITGKPFLRDRIKCLPA 80 VPRDEASRNPTMGLTPDRVFAGYMWRSARSDCQAKDVVLLEDHIARLFNTKHATAFLKKDKGVNERAASPPTTSDAAATA 160 ASSLSTTATQSQLQRLLAGSQLPVLEQVERNIRHELVHAFDDARGAIESSDCVHQACSEIRAARLSGDCFVGQEMRKGRF 240 NFFEGGQKCVRRRAVMAVDRNPVCRGFSERAVDTVFQKCYSDYEPFAAPIYALGSYGDSQFANGTLKL 320 ................................................................................ 80 ............................P................................................... 160 ................................................................................ 240 .................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ LmjF.36.1690 50 AVDYVLR|HV 0.151 . LmjF.36.1690 68 IEEITGK|PF 0.058 . LmjF.36.1690 72 TGKPFLR|DR 0.143 . LmjF.36.1690 74 KPFLRDR|IK 0.068 . LmjF.36.1690 76 FLRDRIK|CL 0.075 . LmjF.36.1690 83 CLPAVPR|DE 0.099 . LmjF.36.1690 88 PRDEASR|NP 0.083 . LmjF.36.1690 98 MGLTPDR|VF 0.076 . LmjF.36.1690 106 FAGYMWR|SA 0.130 . LmjF.36.1690 109 YMWRSAR|SD 0.596 *ProP* LmjF.36.1690 115 RSDCQAK|DV 0.101 . LmjF.36.1690 126 LEDHIAR|LF 0.091 . LmjF.36.1690 131 ARLFNTK|HA 0.077 . LmjF.36.1690 138 HATAFLK|KD 0.061 . LmjF.36.1690 139 ATAFLKK|DK 0.182 . LmjF.36.1690 141 AFLKKDK|GV 0.077 . LmjF.36.1690 146 DKGVNER|AA 0.122 . LmjF.36.1690 175 TQSQLQR|LL 0.105 . LmjF.36.1690 190 VLEQVER|NI 0.098 . LmjF.36.1690 193 QVERNIR|HE 0.120 . LmjF.36.1690 204 HAFDDAR|GA 0.115 . LmjF.36.1690 221 QACSEIR|AA 0.119 . LmjF.36.1690 224 SEIRAAR|LS 0.403 . LmjF.36.1690 236 FVGQEMR|KG 0.071 . LmjF.36.1690 237 VGQEMRK|GR 0.079 . LmjF.36.1690 239 QEMRKGR|FN 0.451 . LmjF.36.1690 248 FFEGGQK|CV 0.060 . LmjF.36.1690 251 GGQKCVR|RR 0.067 . LmjF.36.1690 252 GQKCVRR|RA 0.172 . LmjF.36.1690 253 QKCVRRR|AV 0.366 . LmjF.36.1690 260 AVMAVDR|NP 0.072 . LmjF.36.1690 265 DRNPVCR|GF 0.143 . LmjF.36.1690 270 CRGFSER|AV 0.282 . LmjF.36.1690 278 VDTVFQK|CY 0.075 . LmjF.36.1690 307 FANGTLK|L- 0.062 . ____________________________^_________________
  • Fasta :-

    >LmjF.36.1690 ATGGGCTCGCTCTCCTCGTCCTCGTCCTCCTCCGCGGCAACTGGTGCTGGTGCAGCGGCG TCGCAAACAGACGCACAGGAGGTGACGCCCGTCGACTCGCTCTGGAGCCCGCACGATGTC TGCGAGGCCGCCGTAGACTACGTTTTGCGCCACGTGAATACGGTTCAGTACATGATTCAG AGCATTGAAGAGATCACCGGCAAGCCCTTCCTGCGCGACCGCATCAAGTGTCTGCCCGCT GTCCCACGTGATGAGGCCTCTCGTAACCCCACAATGGGACTTACCCCAGATCGGGTGTTT GCGGGGTATATGTGGCGCAGTGCTCGCTCCGACTGCCAGGCGAAAGATGTCGTGCTACTG GAGGATCACATCGCCCGTCTTTTTAACACGAAGCACGCAACGGCATTCTTAAAGAAAGAC AAGGGTGTCAACGAGCGCGCGGCCTCGCCACCGACGACATCCGATGCCGCTGCGACGGCG GCATCTTCACTGTCCACCACCGCCACGCAATCGCAGCTGCAGCGCCTCCTCGCGGGATCG CAGCTGCCGGTGTTGGAGCAGGTGGAGCGCAACATACGCCATGAGCTTGTCCATGCCTTC GATGATGCTCGAGGTGCGATCGAAAGCTCCGACTGCGTGCATCAGGCCTGCAGCGAGATT CGCGCGGCACGTCTTAGCGGTGACTGTTTTGTCGGCCAAGAGATGCGGAAGGGGCGCTTC AACTTCTTTGAGGGTGGGCAGAAGTGTGTTCGCCGCCGTGCCGTCATGGCGGTGGATCGC AATCCGGTGTGCCGTGGCTTCTCTGAGCGCGCGGTGGACACGGTGTTTCAGAAGTGCTAC TCTGACTACGAACCGTTCGCAGCACCCATCTATGCCCTCGGGAGCTACGGCGATAGCCAG TTTGCAAATGGCACGCTGAAGCTATGA
  • Download Fasta
  • Fasta :-

    MGSLSSSSSSSAATGAGAAASQTDAQEVTPVDSLWSPHDVCEAAVDYVLRHVNTVQYMIQ SIEEITGKPFLRDRIKCLPAVPRDEASRNPTMGLTPDRVFAGYMWRSARSDCQAKDVVLL EDHIARLFNTKHATAFLKKDKGVNERAASPPTTSDAAATAASSLSTTATQSQLQRLLAGS QLPVLEQVERNIRHELVHAFDDARGAIESSDCVHQACSEIRAARLSGDCFVGQEMRKGRF NFFEGGQKCVRRRAVMAVDRNPVCRGFSERAVDTVFQKCYSDYEPFAAPIYALGSYGDSQ FANGTLKL

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LmjF.36.1690      



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