PY17X_1034800 | alpha/beta hydrolase, putative

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:        

  • Computed_GO_Functions:        

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  • Curated_GO_Component_IDs:  GO:0005737      

  • Curated_GO_Components:  cytoplasm      

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
PY17X_1034800OTHER0.9706930.0005290.028778
No Results

  • Fasta :-

    >PY17X_1034800 MLSSNRILHEYVTCSKGITYAVYSNNLVQKDKTPSNETALNVNNNQPNNQKAIVLLLHGL NGGTHQFENMFKTLINLGYQFISIDFYGHGNSTLFGNPSKYTEKLYTEQIYDVLKIKGLL NEKFTVIAFSMGCIIATHLSKDNKICIDKYCLISAAGMAKPRYRFLVFLLKYNIRLCLRL AKRYSRSVISEDTVKKEYYNFENNLEEATKRYEILKQNHEKFMETFLKVLIGIKLQNSKK YYFSLFKTNADILFIYGKNDALTPYIYTQKFLEQKKEYSKNVKMIIIPECCHLVIHEKFH ELDHHLIYFLK
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PY17X_1034800.fa Sequence name : PY17X_1034800 Sequence length : 311 VALUES OF COMPUTED PARAMETERS Coef20 : 4.060 CoefTot : -0.886 ChDiff : 14 ZoneTo : 30 KR : 3 DE : 1 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.900 1.676 0.303 0.623 MesoH : -0.503 0.542 -0.362 0.233 MuHd_075 : 36.368 28.222 12.105 8.266 MuHd_095 : 23.886 20.015 8.806 5.215 MuHd_100 : 32.187 26.282 11.378 7.654 MuHd_105 : 35.241 27.000 11.820 8.058 Hmax_075 : 16.400 20.100 2.340 6.530 Hmax_095 : 9.888 14.200 3.881 5.030 Hmax_100 : 13.500 17.400 4.587 5.370 Hmax_105 : 15.050 18.433 4.961 5.915 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.6638 0.3362 DFMC : 0.6295 0.3705
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 311 PY17X_1034800 MLSSNRILHEYVTCSKGITYAVYSNNLVQKDKTPSNETALNVNNNQPNNQKAIVLLLHGLNGGTHQFENMFKTLINLGYQ 80 FISIDFYGHGNSTLFGNPSKYTEKLYTEQIYDVLKIKGLLNEKFTVIAFSMGCIIATHLSKDNKICIDKYCLISAAGMAK 160 PRYRFLVFLLKYNIRLCLRLAKRYSRSVISEDTVKKEYYNFENNLEEATKRYEILKQNHEKFMETFLKVLIGIKLQNSKK 240 YYFSLFKTNADILFIYGKNDALTPYIYTQKFLEQKKEYSKNVKMIIIPECCHLVIHEKFHELDHHLIYFLK 320 ................................................................................ 80 ................................................................................ 160 .........................P...................................................... 240 ....................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 1 Name Pos Context Score Pred ____________________________v_________________ PY17X_1034800 6 -MLSSNR|IL 0.081 . PY17X_1034800 16 EYVTCSK|GI 0.062 . PY17X_1034800 30 SNNLVQK|DK 0.102 . PY17X_1034800 32 NLVQKDK|TP 0.065 . PY17X_1034800 51 NQPNNQK|AI 0.064 . PY17X_1034800 72 QFENMFK|TL 0.065 . PY17X_1034800 100 LFGNPSK|YT 0.075 . PY17X_1034800 104 PSKYTEK|LY 0.065 . PY17X_1034800 115 QIYDVLK|IK 0.061 . PY17X_1034800 117 YDVLKIK|GL 0.068 . PY17X_1034800 123 KGLLNEK|FT 0.061 . PY17X_1034800 141 IATHLSK|DN 0.069 . PY17X_1034800 144 HLSKDNK|IC 0.073 . PY17X_1034800 149 NKICIDK|YC 0.061 . PY17X_1034800 160 SAAGMAK|PR 0.067 . PY17X_1034800 162 AGMAKPR|YR 0.095 . PY17X_1034800 164 MAKPRYR|FL 0.105 . PY17X_1034800 171 FLVFLLK|YN 0.056 . PY17X_1034800 175 LLKYNIR|LC 0.067 . PY17X_1034800 179 NIRLCLR|LA 0.076 . PY17X_1034800 182 LCLRLAK|RY 0.117 . PY17X_1034800 183 CLRLAKR|YS 0.176 . PY17X_1034800 186 LAKRYSR|SV 0.522 *ProP* PY17X_1034800 195 ISEDTVK|KE 0.057 . PY17X_1034800 196 SEDTVKK|EY 0.100 . PY17X_1034800 210 NLEEATK|RY 0.061 . PY17X_1034800 211 LEEATKR|YE 0.188 . PY17X_1034800 216 KRYEILK|QN 0.077 . PY17X_1034800 221 LKQNHEK|FM 0.095 . PY17X_1034800 228 FMETFLK|VL 0.064 . PY17X_1034800 234 KVLIGIK|LQ 0.053 . PY17X_1034800 239 IKLQNSK|KY 0.059 . PY17X_1034800 240 KLQNSKK|YY 0.127 . PY17X_1034800 247 YYFSLFK|TN 0.061 . PY17X_1034800 258 ILFIYGK|ND 0.055 . PY17X_1034800 270 PYIYTQK|FL 0.073 . PY17X_1034800 275 QKFLEQK|KE 0.058 . PY17X_1034800 276 KFLEQKK|EY 0.114 . PY17X_1034800 280 QKKEYSK|NV 0.068 . PY17X_1034800 283 EYSKNVK|MI 0.076 . PY17X_1034800 298 HLVIHEK|FH 0.065 . PY17X_1034800 311 HLIYFLK|-- 0.067 . ____________________________^_________________

  • Fasta :-

    >PY17X_1034800 ATGCTTTCCTCAAATAGAATATTACATGAATATGTTACATGTTCAAAGGGAATTACATAT GCAGTTTATTCTAACAATTTAGTTCAAAAAGATAAAACACCAAGTAATGAAACTGCATTA AATGTGAATAATAACCAACCTAATAATCAAAAAGCTATTGTACTCCTTTTACATGGATTA AATGGAGGAACTCATCAATTTGAAAATATGTTCAAAACATTAATTAATCTTGGCTATCAA TTTATATCCATAGATTTTTACGGACATGGAAATAGTACCTTGTTTGGAAACCCAAGCAAA TACACTGAAAAGCTATACACGGAACAAATTTATGATGTTTTAAAAATAAAAGGCCTTTTA AACGAAAAATTTACAGTTATTGCCTTTTCTATGGGATGTATTATAGCTACGCATTTATCT AAGGATAATAAAATATGCATAGACAAGTATTGCCTTATTAGTGCTGCTGGAATGGCTAAA CCGAGATATCGATTCTTGGTTTTTTTATTAAAATATAATATACGTCTTTGTCTAAGATTA GCAAAACGGTATAGTCGTTCGGTCATTTCTGAGGACACAGTTAAAAAAGAATATTACAAT TTCGAGAACAATTTAGAAGAAGCCACAAAACGATATGAAATTCTTAAACAGAATCACGAA AAATTCATGGAGACGTTTTTAAAGGTGTTGATAGGAATTAAATTACAAAATTCTAAAAAG TATTATTTTTCGTTGTTCAAAACAAATGCGGATATCCTTTTCATATATGGAAAAAACGAT GCCTTAACACCCTATATATATACCCAGAAATTTTTAGAACAAAAAAAGGAATATTCAAAA AATGTGAAAATGATAATTATACCAGAATGTTGTCATCTTGTTATACATGAAAAGTTTCAT GAATTAGATCACCATCTTATTTATTTTTTAAAATAA
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  • Fasta :-

    MLSSNRILHEYVTCSKGITYAVYSNNLVQKDKTPSNETALNVNNNQPNNQKAIVLLLHGL NGGTHQFENMFKTLINLGYQFISIDFYGHGNSTLFGNPSKYTEKLYTEQIYDVLKIKGLL NEKFTVIAFSMGCIIATHLSKDNKICIDKYCLISAAGMAKPRYRFLVFLLKYNIRLCLRL AKRYSRSVISEDTVKKEYYNFENNLEEATKRYEILKQNHEKFMETFLKVLIGIKLQNSKK YYFSLFKTNADILFIYGKNDALTPYIYTQKFLEQKKEYSKNVKMIIIPECCHLVIHEKFH ELDHHLIYFLK

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PY17X_1034800


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