Tbg972.9.4510 | serine peptidase, Clan S- , family S54, putative

_IDPredictionOTHERSPmTPCS_Position
Tbg972.9.4510mTP0.2789760.0021560.718868CS pos: 67-68. RTF-CS. Pr: 0.2579
No Results

  • Fasta :-

    >Tbg972.9.4510 MLRYSPMHLIKTLRGPRVTGAPARFLRDNGVSLVGPARSTFLMMYRMQGNQNVRMGAGAY KDSCRTFCSSAVLRDPKKPSGQLVGTHQVQQRNEGDKGGDEEQKQEDPLGGNAGAGYLPF PPPFHTINVVMLLFLANVITYFLMNFSGSDDLRDFIVEHFTLSHENAGRIYPFFTNALYQ ENLLQLLIDCWLLWEFGKTMLGFLGNARMTFFASLCTLGGGLIHVARQNFELYYGMDPLE VRGRCYGPNPFILGLVGVEGIIFRHLNFIQQPPVPFLVLTAFVMVIDVWRIFTTKPEEHG AATGGALVAYVFWALPTRMLGLDKLTAAL
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/669 Sequence name : 669 Sequence length : 329 VALUES OF COMPUTED PARAMETERS Coef20 : 4.060 CoefTot : -1.795 ChDiff : 3 ZoneTo : 61 KR : 10 DE : 1 CleavSite : 56 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.853 2.182 0.280 0.756 MesoH : 0.330 0.910 -0.170 0.441 MuHd_075 : 38.688 14.931 8.433 7.803 MuHd_095 : 36.488 19.660 8.057 8.202 MuHd_100 : 40.739 16.877 8.191 7.827 MuHd_105 : 55.457 17.525 11.750 10.574 Hmax_075 : 13.825 10.200 1.889 4.926 Hmax_095 : 12.600 13.387 2.258 4.874 Hmax_100 : 7.200 15.300 0.225 3.790 Hmax_105 : 12.300 7.467 1.314 3.900 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.0204 0.9796 DFMC : 0.0351 0.9649 This protein is probably imported in mitochondria. f(Ser) = 0.0492 f(Arg) = 0.1311 CMi = 0.19392 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) ##### 329 Tbg972.9.4510 MLRYSPMHLIKTLRGPRVTGAPARFLRDNGVSLVGPARSTFLMMYRMQGNQNVRMGAGAYKDSCRTFCSSAVLRDPKKPS 80 GQLVGTHQVQQRNEGDKGGDEEQKQEDPLGGNAGAGYLPFPPPFHTINVVMLLFLANVITYFLMNFSGSDDLRDFIVEHF 160 TLSHENAGRIYPFFTNALYQENLLQLLIDCWLLWEFGKTMLGFLGNARMTFFASLCTLGGGLIHVARQNFELYYGMDPLE 240 VRGRCYGPNPFILGLVGVEGIIFRHLNFIQQPPVPFLVLTAFVMVIDVWRIFTTKPEEHGAATGGALVAYVFWALPTRML 320 GLDKLTAAL 400 ..........................P..................................................... 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ......... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ Tbg972.9.4510 3 ----MLR|YS 0.082 . Tbg972.9.4510 11 SPMHLIK|TL 0.077 . Tbg972.9.4510 14 HLIKTLR|GP 0.089 . Tbg972.9.4510 17 KTLRGPR|VT 0.180 . Tbg972.9.4510 24 VTGAPAR|FL 0.148 . Tbg972.9.4510 27 APARFLR|DN 0.606 *ProP* Tbg972.9.4510 38 SLVGPAR|ST 0.123 . Tbg972.9.4510 46 TFLMMYR|MQ 0.097 . Tbg972.9.4510 54 QGNQNVR|MG 0.088 . Tbg972.9.4510 61 MGAGAYK|DS 0.077 . Tbg972.9.4510 65 AYKDSCR|TF 0.084 . Tbg972.9.4510 74 CSSAVLR|DP 0.112 . Tbg972.9.4510 77 AVLRDPK|KP 0.124 . Tbg972.9.4510 78 VLRDPKK|PS 0.138 . Tbg972.9.4510 92 THQVQQR|NE 0.167 . Tbg972.9.4510 97 QRNEGDK|GG 0.090 . Tbg972.9.4510 104 GGDEEQK|QE 0.065 . Tbg972.9.4510 153 SGSDDLR|DF 0.137 . Tbg972.9.4510 169 SHENAGR|IY 0.079 . Tbg972.9.4510 198 LLWEFGK|TM 0.061 . Tbg972.9.4510 208 GFLGNAR|MT 0.078 . Tbg972.9.4510 227 GLIHVAR|QN 0.110 . Tbg972.9.4510 242 MDPLEVR|GR 0.082 . Tbg972.9.4510 244 PLEVRGR|CY 0.118 . Tbg972.9.4510 264 VEGIIFR|HL 0.088 . Tbg972.9.4510 290 MVIDVWR|IF 0.095 . Tbg972.9.4510 295 WRIFTTK|PE 0.075 . Tbg972.9.4510 318 FWALPTR|ML 0.089 . Tbg972.9.4510 324 RMLGLDK|LT 0.059 . ____________________________^_________________

  • Fasta :-

    >Tbg972.9.4510 ATGTTACGGTACTCGCCGATGCATTTAATTAAAACATTGAGGGGCCCTCGAGTGACAGGT GCTCCAGCCCGATTCCTCCGCGACAACGGCGTTTCACTCGTGGGACCGGCGAGGTCCACA TTTTTGATGATGTACCGCATGCAAGGGAATCAAAACGTACGTATGGGCGCGGGTGCTTAC AAGGATTCGTGTCGAACTTTTTGTAGCAGTGCTGTACTGCGAGATCCGAAAAAACCTTCC GGTCAACTCGTTGGGACCCACCAGGTTCAGCAGCGGAACGAAGGGGATAAAGGTGGCGAT GAAGAGCAGAAGCAAGAGGATCCGCTTGGTGGTAACGCCGGCGCCGGTTACTTACCATTC CCTCCTCCATTCCACACGATCAATGTTGTGATGCTGCTTTTTCTCGCCAACGTCATCACG TACTTCCTGATGAACTTTTCTGGGAGTGATGATCTGCGAGACTTTATAGTCGAACATTTC ACGCTGTCACATGAAAATGCGGGGAGAATATATCCATTTTTCACCAATGCCCTCTACCAA GAGAATCTTCTGCAGCTTTTGATTGACTGCTGGCTCCTCTGGGAGTTTGGAAAAACGATG CTAGGGTTTCTCGGCAATGCTCGAATGACTTTCTTTGCGTCCCTTTGTACACTTGGTGGT GGTCTTATTCATGTTGCACGCCAAAACTTTGAGTTGTATTATGGAATGGATCCTCTGGAG GTACGTGGTCGATGTTATGGCCCCAATCCGTTTATTCTCGGTCTTGTGGGTGTTGAGGGC ATCATTTTCAGGCACCTTAACTTTATTCAACAGCCGCCCGTTCCTTTCCTAGTTCTCACT GCTTTTGTGATGGTTATTGACGTGTGGCGCATTTTCACCACGAAGCCAGAGGAACATGGA GCGGCAACTGGTGGTGCTTTAGTCGCGTACGTCTTTTGGGCCCTTCCAACCCGAATGCTC GGCCTTGACAAACTTACAGCAGCATTGTAA
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  • Fasta :-

    MLRYSPMHLIKTLRGPRVTGAPARFLRDNGVSLVGPARSTFLMMYRMQGNQNVRMGAGAY KDSCRTFCSSAVLRDPKKPSGQLVGTHQVQQRNEGDKGGDEEQKQEDPLGGNAGAGYLPF PPPFHTINVVMLLFLANVITYFLMNFSGSDDLRDFIVEHFTLSHENAGRIYPFFTNALYQ ENLLQLLIDCWLLWEFGKTMLGFLGNARMTFFASLCTLGGGLIHVARQNFELYYGMDPLE VRGRCYGPNPFILGLVGVEGIIFRHLNFIQQPPVPFLVLTAFVMVIDVWRIFTTKPEEHG AATGGALVAYVFWALPTRMLGLDKLTAAL

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