LmxM.29.1380 | amidohydrolase, putative

  • 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
LmxM.29.1380OTHER0.9991580.0004280.000415
No Results

  • Fasta :-

    >LmxM.29.1380 MMALRADMDALPGDEETDLSFKSQNKGAMHACGHDAHTAMLLSAAKVICAHQADIKGSVR FIFQHAEELLPGGAKDLVAAGVMEGVKSIFGMHCSPRYEAGTVGLMPGINTSYTDFFKLV ICGRGGHASTPQLLVDPVPITAEIVMAIQTITARKIDPRVVPVVSITTMTTGPNESHNVI PNEVKLMGTVRSRDKAVREQVPRDIERLASNIAAAHGAAATLDFTFGYDCCDNDPEVTAQ VRCIAERILGSANIIDPKVPLYGGEDFSAYQLKKPGCFLWLGTANKSQGICEMCHSTKFR VDETALPIGVSFHVGYVYDNVMA
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/79 Sequence name : 79 Sequence length : 323 VALUES OF COMPUTED PARAMETERS Coef20 : 3.422 CoefTot : 0.539 ChDiff : -7 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 : 0.050 0.563 -0.186 0.302 MuHd_075 : 23.587 6.791 4.031 3.686 MuHd_095 : 2.893 4.863 0.421 1.864 MuHd_100 : 7.010 5.683 2.773 2.134 MuHd_105 : 13.892 8.280 4.624 3.052 Hmax_075 : 1.200 1.517 -1.651 2.010 Hmax_095 : -4.200 2.800 -3.143 2.120 Hmax_100 : 1.200 2.800 -1.289 2.030 Hmax_105 : -1.400 3.500 -1.662 1.808 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9816 0.0184 DFMC : 0.9549 0.0451
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 323 LmxM.29.1380 MMALRADMDALPGDEETDLSFKSQNKGAMHACGHDAHTAMLLSAAKVICAHQADIKGSVRFIFQHAEELLPGGAKDLVAA 80 GVMEGVKSIFGMHCSPRYEAGTVGLMPGINTSYTDFFKLVICGRGGHASTPQLLVDPVPITAEIVMAIQTITARKIDPRV 160 VPVVSITTMTTGPNESHNVIPNEVKLMGTVRSRDKAVREQVPRDIERLASNIAAAHGAAATLDFTFGYDCCDNDPEVTAQ 240 VRCIAERILGSANIIDPKVPLYGGEDFSAYQLKKPGCFLWLGTANKSQGICEMCHSTKFRVDETALPIGVSFHVGYVYDN 320 VMA 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmxM.29.1380 5 --MMALR|AD 0.108 . LmxM.29.1380 22 ETDLSFK|SQ 0.076 . LmxM.29.1380 26 SFKSQNK|GA 0.076 . LmxM.29.1380 46 MLLSAAK|VI 0.066 . LmxM.29.1380 56 AHQADIK|GS 0.064 . LmxM.29.1380 60 DIKGSVR|FI 0.107 . LmxM.29.1380 75 LLPGGAK|DL 0.079 . LmxM.29.1380 87 GVMEGVK|SI 0.077 . LmxM.29.1380 97 GMHCSPR|YE 0.112 . LmxM.29.1380 118 SYTDFFK|LV 0.079 . LmxM.29.1380 124 KLVICGR|GG 0.111 . LmxM.29.1380 154 IQTITAR|KI 0.091 . LmxM.29.1380 155 QTITARK|ID 0.076 . LmxM.29.1380 159 ARKIDPR|VV 0.123 . LmxM.29.1380 185 VIPNEVK|LM 0.064 . LmxM.29.1380 191 KLMGTVR|SR 0.159 . LmxM.29.1380 193 MGTVRSR|DK 0.095 . LmxM.29.1380 195 TVRSRDK|AV 0.087 . LmxM.29.1380 198 SRDKAVR|EQ 0.080 . LmxM.29.1380 203 VREQVPR|DI 0.140 . LmxM.29.1380 207 VPRDIER|LA 0.122 . LmxM.29.1380 242 EVTAQVR|CI 0.080 . LmxM.29.1380 247 VRCIAER|IL 0.105 . LmxM.29.1380 258 ANIIDPK|VP 0.060 . LmxM.29.1380 273 FSAYQLK|KP 0.073 . LmxM.29.1380 274 SAYQLKK|PG 0.082 . LmxM.29.1380 286 WLGTANK|SQ 0.102 . LmxM.29.1380 298 EMCHSTK|FR 0.066 . LmxM.29.1380 300 CHSTKFR|VD 0.181 . ____________________________^_________________

  • Fasta :-

    >LmxM.29.1380 ATGATGGCACTGCGCGCTGACATGGACGCGCTGCCGGGGGACGAGGAGACGGATTTGTCG TTCAAGTCGCAGAACAAGGGCGCGATGCACGCGTGCGGACACGACGCGCACACGGCGATG CTGCTGAGCGCTGCGAAGGTGATCTGCGCGCATCAGGCGGACATTAAGGGCAGCGTGCGG TTCATTTTCCAGCACGCCGAGGAGCTGCTGCCCGGCGGCGCGAAGGACCTTGTTGCCGCC GGCGTGATGGAGGGCGTGAAGAGCATCTTCGGCATGCACTGCTCACCGCGGTACGAGGCG GGCACGGTTGGTCTGATGCCCGGCATCAACACGAGCTACACGGATTTCTTCAAACTGGTA ATCTGCGGTCGTGGCGGCCACGCGTCGACCCCGCAGCTTCTTGTGGACCCCGTGCCGATA ACCGCCGAGATCGTGATGGCGATCCAGACGATTACTGCGCGCAAGATTGACCCGAGGGTG GTGCCTGTTGTGTCGATCACGACGATGACGACGGGACCGAATGAGAGCCACAACGTGATT CCTAACGAGGTGAAGCTGATGGGGACTGTGCGGTCGCGGGACAAGGCCGTGCGTGAGCAG GTGCCGCGCGACATTGAGCGTCTTGCGTCGAATATTGCTGCCGCCCACGGCGCGGCGGCA ACGTTGGACTTCACGTTCGGGTACGACTGCTGCGACAACGACCCTGAGGTAACTGCGCAG GTGCGATGCATCGCCGAGCGAATTCTTGGTTCTGCCAACATCATCGACCCCAAGGTGCCG CTCTATGGTGGTGAGGACTTCTCTGCGTACCAGCTGAAGAAGCCCGGCTGCTTCCTGTGG CTGGGTACGGCCAACAAGTCGCAAGGTATTTGCGAGATGTGCCACTCGACGAAGTTTCGT GTCGATGAGACCGCGCTCCCGATTGGTGTTAGCTTCCACGTGGGCTACGTGTACGACAAC GTAATGGCGTAA
  • Download Fasta

  • Fasta :-

    MMALRADMDALPGDEETDLSFKSQNKGAMHACGHDAHTAMLLSAAKVICAHQADIKGSVR FIFQHAEELLPGGAKDLVAAGVMEGVKSIFGMHCSPRYEAGTVGLMPGINTSYTDFFKLV ICGRGGHASTPQLLVDPVPITAEIVMAIQTITARKIDPRVVPVVSITTMTTGPNESHNVI PNEVKLMGTVRSRDKAVREQVPRDIERLASNIAAAHGAAATLDFTFGYDCCDNDPEVTAQ VRCIAERILGSANIIDPKVPLYGGEDFSAYQLKKPGCFLWLGTANKSQGICEMCHSTKFR VDETALPIGVSFHVGYVYDNVMA

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