Tbg972.4.4450 | monoglyceride lipase, putative

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:        

  • Computed_GO_Functions:        

  • Computed_GO_Process_IDs:        

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  • Curated_GO_Component_IDs:  GO:0005737      GO:0020015      

  • Curated_GO_Components:  cytoplasm      glycosome      

  • Curated_GO_Function_IDs:        

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  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
Tbg972.4.4450OTHER0.9999640.0000210.000015
No Results

  • Fasta :-

    >Tbg972.4.4450 MGCCSCCIDDNHDLKYATPDREPPDPELFPHYLQNKQGLWLHFTEWAPPRDVPNVRGVLF VVSGLGEHTARYGGVGRYFSREGYHVFCMDNQGAGASEGERLYVVDFEDFVDDIFLFRRR VFSLYPEYAKLPRFLLGHSMGGLIATHVSLRDPTSFAGVVLSGPALEPDPKIATPFKRWL VGVLSNCAPKFGVDSIDPKLASTNRQVVELMEQDPVYFKVKLTTRWAKTMLDAMESVWEH VERATYPLLIVHGAKDALCPVSGSRRLFSCVPTTDKQLIEYPGLGHEVLTEVRWREVLGD ILKFLNAHCQ
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/454 Sequence name : 454 Sequence length : 310 VALUES OF COMPUTED PARAMETERS Coef20 : 3.129 CoefTot : -0.138 ChDiff : -6 ZoneTo : 8 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.471 1.206 0.047 0.564 MesoH : -0.291 0.376 -0.308 0.246 MuHd_075 : 16.433 10.164 5.759 3.339 MuHd_095 : 7.620 6.319 4.742 0.389 MuHd_100 : 13.286 11.465 6.525 0.974 MuHd_105 : 18.659 15.125 7.313 2.449 Hmax_075 : 6.000 6.400 2.435 2.940 Hmax_095 : 2.975 7.438 3.572 1.855 Hmax_100 : 2.400 8.900 3.922 1.640 Hmax_105 : 9.700 11.200 4.673 2.890 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9818 0.0182 DFMC : 0.9450 0.0550
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 310 Tbg972.4.4450 MGCCSCCIDDNHDLKYATPDREPPDPELFPHYLQNKQGLWLHFTEWAPPRDVPNVRGVLFVVSGLGEHTARYGGVGRYFS 80 REGYHVFCMDNQGAGASEGERLYVVDFEDFVDDIFLFRRRVFSLYPEYAKLPRFLLGHSMGGLIATHVSLRDPTSFAGVV 160 LSGPALEPDPKIATPFKRWLVGVLSNCAPKFGVDSIDPKLASTNRQVVELMEQDPVYFKVKLTTRWAKTMLDAMESVWEH 240 VERATYPLLIVHGAKDALCPVSGSRRLFSCVPTTDKQLIEYPGLGHEVLTEVRWREVLGDILKFLNAHCQ 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ...................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ Tbg972.4.4450 15 DDNHDLK|YA 0.074 . Tbg972.4.4450 21 KYATPDR|EP 0.076 . Tbg972.4.4450 36 PHYLQNK|QG 0.059 . Tbg972.4.4450 50 TEWAPPR|DV 0.200 . Tbg972.4.4450 56 RDVPNVR|GV 0.130 . Tbg972.4.4450 71 LGEHTAR|YG 0.130 . Tbg972.4.4450 77 RYGGVGR|YF 0.124 . Tbg972.4.4450 81 VGRYFSR|EG 0.094 . Tbg972.4.4450 101 GASEGER|LY 0.079 . Tbg972.4.4450 118 DDIFLFR|RR 0.065 . Tbg972.4.4450 119 DIFLFRR|RV 0.135 . Tbg972.4.4450 120 IFLFRRR|VF 0.098 . Tbg972.4.4450 130 LYPEYAK|LP 0.057 . Tbg972.4.4450 133 EYAKLPR|FL 0.093 . Tbg972.4.4450 151 ATHVSLR|DP 0.096 . Tbg972.4.4450 171 ALEPDPK|IA 0.068 . Tbg972.4.4450 177 KIATPFK|RW 0.064 . Tbg972.4.4450 178 IATPFKR|WL 0.254 . Tbg972.4.4450 190 LSNCAPK|FG 0.073 . Tbg972.4.4450 199 VDSIDPK|LA 0.085 . Tbg972.4.4450 205 KLASTNR|QV 0.134 . Tbg972.4.4450 219 QDPVYFK|VK 0.053 . Tbg972.4.4450 221 PVYFKVK|LT 0.070 . Tbg972.4.4450 225 KVKLTTR|WA 0.111 . Tbg972.4.4450 228 LTTRWAK|TM 0.140 . Tbg972.4.4450 243 VWEHVER|AT 0.115 . Tbg972.4.4450 255 LIVHGAK|DA 0.072 . Tbg972.4.4450 265 CPVSGSR|RL 0.085 . Tbg972.4.4450 266 PVSGSRR|LF 0.173 . Tbg972.4.4450 276 CVPTTDK|QL 0.057 . Tbg972.4.4450 293 EVLTEVR|WR 0.073 . Tbg972.4.4450 295 LTEVRWR|EV 0.103 . Tbg972.4.4450 303 VLGDILK|FL 0.062 . ____________________________^_________________

  • Fasta :-

    >Tbg972.4.4450 ATGGGTTGCTGTTCCTGCTGCATCGACGACAATCACGACTTGAAGTATGCCACGCCAGAC CGCGAACCACCAGACCCGGAACTATTCCCTCATTATTTGCAAAACAAACAGGGACTTTGG CTTCACTTCACTGAGTGGGCACCGCCGCGGGATGTACCAAACGTACGCGGTGTACTTTTT GTCGTGAGTGGACTCGGTGAGCACACCGCTCGTTACGGTGGTGTGGGCCGTTACTTCTCT CGTGAAGGGTATCACGTCTTTTGCATGGACAATCAGGGCGCAGGCGCCAGTGAGGGCGAA CGATTGTACGTTGTGGACTTTGAAGACTTCGTTGATGACATCTTCCTTTTCAGGAGGCGT GTGTTTTCCCTTTACCCCGAGTATGCAAAACTGCCGCGCTTCCTGCTGGGTCACTCCATG GGTGGCCTTATAGCCACACACGTTTCTCTTCGTGACCCAACGAGCTTTGCGGGGGTTGTA CTCAGTGGACCGGCATTGGAACCCGATCCGAAAATTGCCACCCCCTTCAAGCGGTGGCTA GTTGGTGTGCTATCAAACTGTGCGCCGAAGTTTGGCGTGGACAGCATCGACCCAAAGTTA GCTAGCACGAACCGCCAGGTGGTGGAGCTAATGGAACAAGACCCTGTTTATTTTAAGGTG AAGCTTACCACTCGGTGGGCCAAGACGATGCTTGACGCCATGGAATCCGTATGGGAACAT GTTGAGAGAGCCACCTACCCGCTGTTAATTGTACATGGCGCGAAGGACGCCCTTTGTCCA GTAAGTGGGTCGAGGAGACTGTTCAGTTGTGTACCGACTACGGACAAGCAGTTGATTGAG TACCCTGGTTTAGGTCATGAAGTGTTGACGGAAGTACGCTGGAGAGAAGTACTCGGTGAC ATATTAAAATTTCTTAATGCACATTGCCAGTAG
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  • Fasta :-

    MGCCSCCIDDNHDLKYATPDREPPDPELFPHYLQNKQGLWLHFTEWAPPRDVPNVRGVLF VVSGLGEHTARYGGVGRYFSREGYHVFCMDNQGAGASEGERLYVVDFEDFVDDIFLFRRR VFSLYPEYAKLPRFLLGHSMGGLIATHVSLRDPTSFAGVVLSGPALEPDPKIATPFKRWL VGVLSNCAPKFGVDSIDPKLASTNRQVVELMEQDPVYFKVKLTTRWAKTMLDAMESVWEH VERATYPLLIVHGAKDALCPVSGSRRLFSCVPTTDKQLIEYPGLGHEVLTEVRWREVLGD ILKFLNAHCQ

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