LmxM.08.1040a | hypothetical protein

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_IDPredictionOTHERSPmTPCS_Position
LmxM.08.1040aSP0.0001120.9983040.001584CS pos: 27-28. ARA-IH. Pr: 0.7322
No Results

  • Fasta :-

    >LmxM.08.1040a MATSRAALCAVAVVCVVLAAACAPARAIHVGTPAAALFEEFKRTYGRAYETLAEEQQRLA NFERNLELMREHQARNPHAQFGITKFFDL
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/409 Sequence name : 409 Sequence length : 89 VALUES OF COMPUTED PARAMETERS Coef20 : 5.343 CoefTot : 1.727 ChDiff : 1 ZoneTo : 38 KR : 2 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.106 2.865 0.714 0.759 MesoH : -1.159 0.213 -0.450 0.084 MuHd_075 : 16.737 13.196 3.648 4.906 MuHd_095 : 16.461 10.037 4.080 5.297 MuHd_100 : 17.241 11.708 3.756 5.418 MuHd_105 : 20.755 13.213 4.996 5.617 Hmax_075 : 15.200 22.800 3.606 5.780 Hmax_095 : 13.563 18.637 6.211 5.845 Hmax_100 : 14.100 19.100 2.670 6.060 Hmax_105 : 13.100 15.983 4.493 5.240 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8665 0.1335 DFMC : 0.8641 0.1359
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 89 LmxM.08.1040a MATSRAALCAVAVVCVVLAAACAPARAIHVGTPAAALFEEFKRTYGRAYETLAEEQQRLANFERNLELMREHQARNPHAQ 80 FGITKFFDL 160 ................................................................................ 80 ......... 160 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmxM.08.1040a 5 --MATSR|AA 0.098 . LmxM.08.1040a 26 AACAPAR|AI 0.134 . LmxM.08.1040a 42 ALFEEFK|RT 0.058 . LmxM.08.1040a 43 LFEEFKR|TY 0.204 . LmxM.08.1040a 47 FKRTYGR|AY 0.111 . LmxM.08.1040a 58 LAEEQQR|LA 0.099 . LmxM.08.1040a 64 RLANFER|NL 0.115 . LmxM.08.1040a 70 RNLELMR|EH 0.074 . LmxM.08.1040a 75 MREHQAR|NP 0.196 . LmxM.08.1040a 85 AQFGITK|FF 0.070 . ____________________________^_________________

  • Fasta :-

    >LmxM.08.1040a ATGGCGACGTCGAGGGCCGCTCTCTGCGCTGTTGCGGTTGTGTGCGTGGTGCTTGCGGCT GCCTGCGCACCCGCGCGCGCGATACACGTGGGCACGCCGGCTGCTGCGCTGTTCGAGGAG TTCAAGCGGACGTACGGGCGCGCGTACGAGACGCTGGCGGAGGAGCAGCAGCGGCTGGCG AACTTCGAGCGCAACCTGGAGCTGATGCGCGAGCACCAGGCGCGGAACCCCCACGCGCAG TTCGGGATCACGAAGTTCTTCGACCTG
  • Download Fasta

  • Fasta :-

    MATSRAALCAVAVVCVVLAAACAPARAIHVGTPAAALFEEFKRTYGRAYETLAEEQQRLA NFERNLELMREHQARNPHAQFGITKFFDL

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