LdBPK_150600.1 | signal peptidase subunit, putative

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  • Fasta :-

    >LdBPK_150600.1 MHSMRQRSCDIFASTVSALLVTAVLTATSTILRDLVLRPRPLVSDVRVSSFSPLYHVRSP TLLSPEIPDAAIYYRPDTGGDGHRTAAKQLPSNIEIVDTVDRPEDSEEDRQRKIWQRQRL PKGFKLGMRTIDRVVLYLSGSVDFSPCWDWNTKAIYVSFIARFPSKSASQNDVVLLDAVL RPVSLPAKIARLAKLRRQERRAALPGSGNERATVAAGASPAATQMLTDEERQQLAAFEQA LRNVEHDHPSVYIDHIDKRLVLNDSFKYFVDAFDDTSLGGNTVEVVLRYQVMSYSGWAPV REDVLGHQVKVKMPENAVLWKAQQR
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/LdBPK_150600.1.fa Sequence name : LdBPK_150600 Sequence length : 325 VALUES OF COMPUTED PARAMETERS Coef20 : 4.827 CoefTot : 1.385 ChDiff : 5 ZoneTo : 33 KR : 3 DE : 1 CleavSite : 43 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.012 2.047 0.354 0.657 MesoH : -0.459 0.470 -0.243 0.176 MuHd_075 : 20.894 11.136 5.843 3.710 MuHd_095 : 26.010 20.374 7.371 6.650 MuHd_100 : 27.509 16.539 7.092 5.703 MuHd_105 : 26.345 11.767 6.302 4.704 Hmax_075 : 12.600 23.100 2.861 5.017 Hmax_095 : 16.100 24.100 4.446 7.040 Hmax_100 : 17.100 19.600 4.734 6.030 Hmax_105 : 15.100 15.050 3.678 4.532 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8580 0.1420 DFMC : 0.7318 0.2682
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 325 LdBPK_150600.1 MHSMRQRSCDIFASTVSALLVTAVLTATSTILRDLVLRPRPLVSDVRVSSFSPLYHVRSPTLLSPEIPDAAIYYRPDTGG 80 DGHRTAAKQLPSNIEIVDTVDRPEDSEEDRQRKIWQRQRLPKGFKLGMRTIDRVVLYLSGSVDFSPCWDWNTKAIYVSFI 160 ARFPSKSASQNDVVLLDAVLRPVSLPAKIARLAKLRRQERRAALPGSGNERATVAAGASPAATQMLTDEERQQLAAFEQA 240 LRNVEHDHPSVYIDHIDKRLVLNDSFKYFVDAFDDTSLGGNTVEVVLRYQVMSYSGWAPVREDVLGHQVKVKMPENAVLW 320 KAQQR 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ..... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LdBPK_150600.1 5 --MHSMR|QR 0.111 . LdBPK_150600.1 7 MHSMRQR|SC 0.214 . LdBPK_150600.1 33 ATSTILR|DL 0.080 . LdBPK_150600.1 38 LRDLVLR|PR 0.069 . LdBPK_150600.1 40 DLVLRPR|PL 0.072 . LdBPK_150600.1 47 PLVSDVR|VS 0.071 . LdBPK_150600.1 58 SPLYHVR|SP 0.105 . LdBPK_150600.1 75 DAAIYYR|PD 0.101 . LdBPK_150600.1 84 TGGDGHR|TA 0.147 . LdBPK_150600.1 88 GHRTAAK|QL 0.074 . LdBPK_150600.1 102 IVDTVDR|PE 0.082 . LdBPK_150600.1 110 EDSEEDR|QR 0.095 . LdBPK_150600.1 112 SEEDRQR|KI 0.117 . LdBPK_150600.1 113 EEDRQRK|IW 0.209 . LdBPK_150600.1 117 QRKIWQR|QR 0.100 . LdBPK_150600.1 119 KIWQRQR|LP 0.070 . LdBPK_150600.1 122 QRQRLPK|GF 0.240 . LdBPK_150600.1 125 RLPKGFK|LG 0.057 . LdBPK_150600.1 129 GFKLGMR|TI 0.097 . LdBPK_150600.1 133 GMRTIDR|VV 0.085 . LdBPK_150600.1 153 CWDWNTK|AI 0.065 . LdBPK_150600.1 162 YVSFIAR|FP 0.145 . LdBPK_150600.1 166 IARFPSK|SA 0.128 . LdBPK_150600.1 181 LLDAVLR|PV 0.091 . LdBPK_150600.1 188 PVSLPAK|IA 0.068 . LdBPK_150600.1 191 LPAKIAR|LA 0.114 . LdBPK_150600.1 194 KIARLAK|LR 0.153 . LdBPK_150600.1 196 ARLAKLR|RQ 0.077 . LdBPK_150600.1 197 RLAKLRR|QE 0.125 . LdBPK_150600.1 200 KLRRQER|RA 0.202 . LdBPK_150600.1 201 LRRQERR|AA 0.290 . LdBPK_150600.1 211 PGSGNER|AT 0.117 . LdBPK_150600.1 231 MLTDEER|QQ 0.088 . LdBPK_150600.1 242 AFEQALR|NV 0.097 . LdBPK_150600.1 258 YIDHIDK|RL 0.051 . LdBPK_150600.1 259 IDHIDKR|LV 0.165 . LdBPK_150600.1 267 VLNDSFK|YF 0.081 . LdBPK_150600.1 288 TVEVVLR|YQ 0.086 . LdBPK_150600.1 301 SGWAPVR|ED 0.078 . LdBPK_150600.1 310 VLGHQVK|VK 0.067 . LdBPK_150600.1 312 GHQVKVK|MP 0.083 . LdBPK_150600.1 321 ENAVLWK|AQ 0.068 . LdBPK_150600.1 325 LWKAQQR|-- 0.101 . ____________________________^_________________

  • Fasta :-

    >LdBPK_150600.1 ATGCACTCGATGCGACAACGCTCCTGCGACATCTTTGCCTCGACTGTGTCGGCCCTACTC GTCACGGCAGTTCTAACGGCCACCTCGACGATTTTGCGAGACCTGGTGTTGCGCCCGCGT CCGCTCGTCTCGGACGTGCGTGTGTCGAGCTTCTCGCCACTGTACCACGTGCGCAGCCCT ACACTGCTGTCTCCGGAGATTCCTGATGCAGCCATCTACTATCGCCCCGACACCGGCGGC GATGGCCACAGGACCGCAGCAAAGCAGCTTCCGTCGAATATTGAGATTGTGGACACGGTG GATCGGCCTGAGGACAGCGAGGAAGATCGCCAGCGCAAGATATGGCAGCGGCAGCGCTTA CCGAAAGGCTTCAAACTCGGCATGCGCACCATCGATCGCGTCGTGCTGTACCTTTCTGGC TCGGTGGACTTCTCTCCCTGTTGGGACTGGAATACGAAAGCCATCTACGTCTCCTTTATT GCGCGCTTTCCGTCGAAGTCAGCGTCTCAGAACGACGTCGTCCTGCTCGATGCGGTACTG CGCCCGGTGTCGCTGCCAGCGAAGATTGCGCGGTTGGCGAAGTTGCGCCGCCAAGAGCGG CGAGCCGCGCTACCGGGAAGCGGCAACGAGAGAGCAACGGTGGCGGCCGGGGCCTCTCCC GCCGCGACGCAGATGTTGACGGACGAAGAGCGGCAGCAGCTCGCTGCCTTCGAGCAGGCT CTGCGCAATGTCGAACACGATCACCCCTCCGTGTATATTGACCACATCGACAAGCGGCTC GTGTTGAACGACTCATTCAAGTACTTTGTGGACGCCTTTGACGACACCTCTCTCGGAGGC AACACGGTTGAGGTGGTGCTGCGCTACCAGGTGATGAGCTACTCCGGCTGGGCGCCCGTG CGGGAGGATGTTCTTGGGCACCAGGTAAAAGTAAAGATGCCAGAGAATGCTGTGCTGTGG AAGGCGCAACAGCGGTGA
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  • Fasta :-

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IDSitePeptideScoreMethod
LdBPK_150600.1106 SRPEDSEEDR0.996unsp

     



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