cgd1_1080 | Alpha beta hydrolase

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_IDPredictionOTHERSPmTPCS_Position
cgd1_1080OTHER0.9999660.0000170.000017
No Results

  • Fasta :-

    >cgd1_1080 MQQGNYWDFCKDTEGKFFIESGKNHLLSAVSTIHDYESPQTAIICHGLFSSKENRLCQTI AKHLSINVVRFDFHGNGESQGADSWSFGDYHGEVNDDLRKVVEFLRNKGLEIKAIIGHSR GGVETLMYSWMYDDVDIIISISARFDLANSIITRFISDEQYEKLKNNELESVEIIPRDNI PRKITLECINKRNLVDYNMLKTVKNTKYFLLIHGTKDDIVPVQVSSI
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/cgd1_1080.fa Sequence name : cgd1_1080 Sequence length : 227 VALUES OF COMPUTED PARAMETERS Coef20 : 2.958 CoefTot : -0.851 ChDiff : -6 ZoneTo : 7 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.294 1.329 -0.004 0.429 MesoH : -1.023 0.070 -0.553 0.108 MuHd_075 : 18.257 11.369 7.618 3.637 MuHd_095 : 20.073 9.435 5.268 2.994 MuHd_100 : 17.888 7.304 5.076 2.843 MuHd_105 : 18.606 8.527 5.435 3.127 Hmax_075 : 0.000 0.817 -1.878 2.280 Hmax_095 : 3.850 1.662 -1.291 2.196 Hmax_100 : 1.700 -0.900 -1.437 2.170 Hmax_105 : 4.667 -0.600 -1.079 2.090 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9834 0.0166 DFMC : 0.9882 0.0118
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 227 cgd1_1080 MQQGNYWDFCKDTEGKFFIESGKNHLLSAVSTIHDYESPQTAIICHGLFSSKENRLCQTIAKHLSINVVRFDFHGNGESQ 80 GADSWSFGDYHGEVNDDLRKVVEFLRNKGLEIKAIIGHSRGGVETLMYSWMYDDVDIIISISARFDLANSIITRFISDEQ 160 YEKLKNNELESVEIIPRDNIPRKITLECINKRNLVDYNMLKTVKNTKYFLLIHGTKDDIVPVQVSSI 240 ................................................................................ 80 ................................................................................ 160 ................................................................... 240 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ cgd1_1080 11 NYWDFCK|DT 0.090 . cgd1_1080 16 CKDTEGK|FF 0.072 . cgd1_1080 23 FFIESGK|NH 0.054 . cgd1_1080 52 HGLFSSK|EN 0.059 . cgd1_1080 55 FSSKENR|LC 0.107 . cgd1_1080 62 LCQTIAK|HL 0.076 . cgd1_1080 70 LSINVVR|FD 0.121 . cgd1_1080 99 EVNDDLR|KV 0.100 . cgd1_1080 100 VNDDLRK|VV 0.079 . cgd1_1080 106 KVVEFLR|NK 0.083 . cgd1_1080 108 VEFLRNK|GL 0.062 . cgd1_1080 113 NKGLEIK|AI 0.067 . cgd1_1080 120 AIIGHSR|GG 0.097 . cgd1_1080 144 IISISAR|FD 0.113 . cgd1_1080 154 ANSIITR|FI 0.180 . cgd1_1080 163 SDEQYEK|LK 0.060 . cgd1_1080 165 EQYEKLK|NN 0.061 . cgd1_1080 177 SVEIIPR|DN 0.092 . cgd1_1080 182 PRDNIPR|KI 0.088 . cgd1_1080 183 RDNIPRK|IT 0.096 . cgd1_1080 191 TLECINK|RN 0.057 . cgd1_1080 192 LECINKR|NL 0.151 . cgd1_1080 201 VDYNMLK|TV 0.061 . cgd1_1080 204 NMLKTVK|NT 0.057 . cgd1_1080 207 KTVKNTK|YF 0.062 . cgd1_1080 216 LLIHGTK|DD 0.063 . ____________________________^_________________

  • Fasta :-

    >cgd1_1080 CAAAGGTGAAACGAAATTTATTAAAAAAATGCAACAGGGAAATTACTGGGACTTTTGTAA GGACACAGAGGGTAAATTTTTTATTGAAAGTGGTAAAAACCATTTGCTCTCTGCAGTATC TACAATACACGATTATGAGAGTCCCCAAACTGCTATAATTTGTCATGGTTTATTTTCAAG TAAAGAAAATCGTCTCTGTCAGACTATTGCAAAACATCTCAGTATTAATGTTGTTCGTTT TGATTTTCATGGTAATGGAGAGTCTCAAGGAGCAGACTCTTGGAGCTTTGGGGATTATCA TGGGGAAGTTAATGATGACCTAAGAAAAGTGGTTGAATTTTTAAGAAATAAAGGTCTTGA AATAAAGGCTATTATTGGCCATTCTAGAGGTGGAGTTGAGACTTTAATGTATTCATGGAT GTATGATGATGTTGACATTATTATTAGTATCTCAGCTAGATTTGACTTAGCTAATTCAAT TATAACTAGATTTATATCGGATGAACAGTATGAAAAATTAAAGAATAATGAGCTTGAATC TGTTGAAATTATTCCAAGAGATAATATTCCAAGAAAGATTACTCTTGAATGTATAAATAA AAGAAATTTGGTGGATTATAATATGCTTAAAACAGTAAAGAACACAAAGTATTTCCTACT AATACATGGCACAAAAGATGATATTGTCCCAGTACAAGTAAGTTCTATTTAA
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  • Fasta :-

    MQQGNYWDFCKDTEGKFFIESGKNHLLSAVSTIHDYESPQTAIICHGLFSSKENRLCQTI AKHLSINVVRFDFHGNGESQGADSWSFGDYHGEVNDDLRKVVEFLRNKGLEIKAIIGHSR GGVETLMYSWMYDDVDIIISISARFDLANSIITRFISDEQYEKLKNNELESVEIIPRDNI PRKITLECINKRNLVDYNMLKTVKNTKYFLLIHGTKDDIVPVQVSSI

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
cgd1_108084 SQGADSWSFG0.995unspcgd1_1080157 STRFISDEQY0.991unsp

cgd1_1080      



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