LmxM.32.3130 | Trypsin-like peptidase domain containing protein, putative

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0004252      

  • Computed_GO_Functions:  serine-type endopeptidase activity      

  • Computed_GO_Process_IDs:  GO:0006508      

  • Computed_GO_Processes:  proteolysis      

  • Curated_GO_Component_IDs:  GO:0005737      

  • Curated_GO_Components:  cytoplasm      

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
LmxM.32.3130OTHER0.8045240.1810750.014401
No Results

  • Fasta :-

    >LmxM.32.3130 MVEGAAAAAAAGAGALAVASQRSGCCFPILSFLHVPGKMAKPLWLMMGTAFTFQTHEMVE AACGQPAAQPSLLLTAKHSFSPWGYTKDASQLKIPKEYQKLRFVIGRAYRTDADGRAVAT DAVGLRLLAQHPIHDVALLGVDAPSWKLLQCATDDSPARPLDLAHAALPLCKEPYPAASD GLLIGFRGVGRLGELDTLDPSVLQRLPPHERDALLKDLQDVEGKQRRATTTVSILDARGM CKGVGDLATCYHGMSGGPLVTTTGQCAGVLYGHHPDAPGCIGYTPCADFAGWLEEEVQRY TKRCHEH
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/254 Sequence name : 254 Sequence length : 307 VALUES OF COMPUTED PARAMETERS Coef20 : 4.244 CoefTot : -0.592 ChDiff : -2 ZoneTo : 56 KR : 3 DE : 1 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.565 1.518 0.273 0.605 MesoH : 0.523 0.649 -0.121 0.342 MuHd_075 : 16.295 13.173 6.141 4.178 MuHd_095 : 26.908 19.190 7.447 5.901 MuHd_100 : 28.328 18.804 9.954 6.074 MuHd_105 : 29.855 24.056 10.898 6.985 Hmax_075 : 11.200 14.100 5.240 4.810 Hmax_095 : 17.237 14.613 1.860 5.451 Hmax_100 : 19.100 17.600 5.449 6.350 Hmax_105 : 18.800 17.700 4.135 5.850 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7525 0.2475 DFMC : 0.5854 0.4146
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 307 LmxM.32.3130 MVEGAAAAAAAGAGALAVASQRSGCCFPILSFLHVPGKMAKPLWLMMGTAFTFQTHEMVEAACGQPAAQPSLLLTAKHSF 80 SPWGYTKDASQLKIPKEYQKLRFVIGRAYRTDADGRAVATDAVGLRLLAQHPIHDVALLGVDAPSWKLLQCATDDSPARP 160 LDLAHAALPLCKEPYPAASDGLLIGFRGVGRLGELDTLDPSVLQRLPPHERDALLKDLQDVEGKQRRATTTVSILDARGM 240 CKGVGDLATCYHGMSGGPLVTTTGQCAGVLYGHHPDAPGCIGYTPCADFAGWLEEEVQRYTKRCHEH 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmxM.32.3130 22 LAVASQR|SG 0.096 . LmxM.32.3130 38 FLHVPGK|MA 0.078 . LmxM.32.3130 41 VPGKMAK|PL 0.075 . LmxM.32.3130 77 SLLLTAK|HS 0.061 . LmxM.32.3130 87 SPWGYTK|DA 0.091 . LmxM.32.3130 93 KDASQLK|IP 0.060 . LmxM.32.3130 96 SQLKIPK|EY 0.064 . LmxM.32.3130 100 IPKEYQK|LR 0.066 . LmxM.32.3130 102 KEYQKLR|FV 0.141 . LmxM.32.3130 107 LRFVIGR|AY 0.113 . LmxM.32.3130 110 VIGRAYR|TD 0.251 . LmxM.32.3130 116 RTDADGR|AV 0.102 . LmxM.32.3130 126 TDAVGLR|LL 0.090 . LmxM.32.3130 147 VDAPSWK|LL 0.066 . LmxM.32.3130 159 TDDSPAR|PL 0.098 . LmxM.32.3130 172 AALPLCK|EP 0.059 . LmxM.32.3130 187 GLLIGFR|GV 0.124 . LmxM.32.3130 191 GFRGVGR|LG 0.075 . LmxM.32.3130 205 DPSVLQR|LP 0.097 . LmxM.32.3130 211 RLPPHER|DA 0.096 . LmxM.32.3130 216 ERDALLK|DL 0.094 . LmxM.32.3130 224 LQDVEGK|QR 0.060 . LmxM.32.3130 226 DVEGKQR|RA 0.086 . LmxM.32.3130 227 VEGKQRR|AT 0.189 . LmxM.32.3130 238 VSILDAR|GM 0.119 . LmxM.32.3130 242 DARGMCK|GV 0.102 . LmxM.32.3130 299 LEEEVQR|YT 0.098 . LmxM.32.3130 302 EVQRYTK|RC 0.105 . LmxM.32.3130 303 VQRYTKR|CH 0.223 . ____________________________^_________________

  • Fasta :-

    >LmxM.32.3130 ATGGTAGAGGGCGCTGCTGCTGCTGCTGCTGCTGGCGCTGGTGCGCTAGCGGTCGCTTCG CAGCGGAGCGGCTGCTGTTTTCCGATTCTGAGCTTTCTGCACGTCCCGGGAAAAATGGCA AAGCCTCTCTGGCTCATGATGGGCACCGCCTTCACATTTCAAACTCATGAAATGGTCGAG GCGGCATGCGGGCAGCCAGCAGCTCAGCCATCGCTGCTGCTCACAGCGAAGCACTCTTTT TCGCCGTGGGGCTACACAAAAGACGCATCGCAGCTGAAGATCCCCAAAGAGTATCAAAAG CTGCGTTTTGTCATTGGCCGCGCGTACCGCACGGATGCCGACGGGAGAGCTGTAGCGACA GACGCGGTGGGTCTCCGCCTTCTTGCTCAGCACCCCATTCACGACGTGGCTCTACTCGGC GTCGATGCCCCATCATGGAAGCTGCTGCAATGCGCTACCGACGATTCACCCGCGCGCCCA TTGGACTTGGCGCACGCGGCGCTGCCGCTGTGCAAAGAACCATATCCCGCGGCGTCGGAT GGACTGCTGATTGGCTTCCGCGGCGTTGGCCGGCTTGGGGAGCTTGACACGCTGGACCCG TCTGTGCTGCAACGTCTGCCGCCACATGAGCGTGATGCTCTTCTTAAGGATCTGCAGGAC GTGGAGGGCAAGCAGAGGCGAGCCACCACAACCGTCTCAATACTGGACGCGCGGGGCATG TGCAAAGGTGTCGGTGATCTCGCCACATGCTATCATGGCATGTCGGGCGGCCCCCTCGTC ACCACAACCGGCCAATGTGCGGGGGTGCTGTACGGCCACCATCCCGATGCGCCCGGGTGC ATCGGCTACACGCCCTGCGCAGACTTTGCAGGGTGGCTAGAGGAGGAGGTGCAGCGATAC ACGAAGCGGTGCCACGAGCATTGA
  • Download Fasta

  • Fasta :-

    MVEGAAAAAAAGAGALAVASQRSGCCFPILSFLHVPGKMAKPLWLMMGTAFTFQTHEMVE AACGQPAAQPSLLLTAKHSFSPWGYTKDASQLKIPKEYQKLRFVIGRAYRTDADGRAVAT DAVGLRLLAQHPIHDVALLGVDAPSWKLLQCATDDSPARPLDLAHAALPLCKEPYPAASD GLLIGFRGVGRLGELDTLDPSVLQRLPPHERDALLKDLQDVEGKQRRATTTVSILDARGM CKGVGDLATCYHGMSGGPLVTTTGQCAGVLYGHHPDAPGCIGYTPCADFAGWLEEEVQRY TKRCHEH

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