PY17X_0946700 | lysophospholipase, putative, pseudogene

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:        

  • Computed_GO_Functions:        

  • Computed_GO_Process_IDs:        

  • Computed_GO_Processes:        

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
PY17X_0946700OTHER0.9999780.0000060.000016
No Results

  • Fasta :-

    >PY17X_0946700 MRKNLKMQNNNKGLVVDNNNYYIYKDSWIENFNQNGYPVYALDLQGHGES*GWENIKGDF SCFDDLVDDVIHYMNQIQDEISNDNQNDDESHDIVTNKKEKLPMYIIGHSLGGGIALRIL QLLGKGKEDNINAGEANNYKKCNIMLDNSTNINEVDKDMYDINNSNDYDFDNSCSSISST TNTIASVSDKDQEYYNYLDKLNIKGCISLSGMMRFKTIWNARDDSIERFYLPVVNFISRV APNLRIPSGFCYKGPQYVVNIFDYIFRINSGIKFKCISELIKAMITLNCNINYMPTDVPL LFVHSIDDNVCYYKGTVSFYNQANVSKKNLHIVEGMNHFTTTKPGNEDILKILLNGFLI
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PY17X_0946700.fa Sequence name : PY17X_0946700 Sequence length : 359 VALUES OF COMPUTED PARAMETERS Coef20 : 3.423 CoefTot : -0.901 ChDiff : -11 ZoneTo : 16 KR : 4 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.859 1.276 0.080 0.545 MesoH : -0.402 0.508 -0.289 0.256 MuHd_075 : 32.228 20.448 8.745 6.561 MuHd_095 : 22.759 11.019 5.293 3.982 MuHd_100 : 23.158 11.479 4.873 3.854 MuHd_105 : 17.158 7.239 2.739 3.076 Hmax_075 : 2.333 7.817 -2.185 2.777 Hmax_095 : -6.300 3.200 -4.597 0.810 Hmax_100 : -6.300 3.200 -4.597 0.810 Hmax_105 : -5.512 0.350 -5.392 0.254 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8425 0.1575 DFMC : 0.8205 0.1795
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 359 PY17X_0946700 MRKNLKMQNNNKGLVVDNNNYYIYKDSWIENFNQNGYPVYALDLQGHGESXGWENIKGDFSCFDDLVDDVIHYMNQIQDE 80 ISNDNQNDDESHDIVTNKKEKLPMYIIGHSLGGGIALRILQLLGKGKEDNINAGEANNYKKCNIMLDNSTNINEVDKDMY 160 DINNSNDYDFDNSCSSISSTTNTIASVSDKDQEYYNYLDKLNIKGCISLSGMMRFKTIWNARDDSIERFYLPVVNFISRV 240 APNLRIPSGFCYKGPQYVVNIFDYIFRINSGIKFKCISELIKAMITLNCNINYMPTDVPLLFVHSIDDNVCYYKGTVSFY 320 NQANVSKKNLHIVEGMNHFTTTKPGNEDILKILLNGFLI 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ....................................... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PY17X_0946700 2 -----MR|KN 0.088 . PY17X_0946700 3 ----MRK|NL 0.086 . PY17X_0946700 6 -MRKNLK|MQ 0.058 . PY17X_0946700 12 KMQNNNK|GL 0.066 . PY17X_0946700 25 NNYYIYK|DS 0.077 . PY17X_0946700 57 XGWENIK|GD 0.069 . PY17X_0946700 98 HDIVTNK|KE 0.057 . PY17X_0946700 99 DIVTNKK|EK 0.075 . PY17X_0946700 101 VTNKKEK|LP 0.069 . PY17X_0946700 118 GGGIALR|IL 0.079 . PY17X_0946700 125 ILQLLGK|GK 0.073 . PY17X_0946700 127 QLLGKGK|ED 0.061 . PY17X_0946700 140 GEANNYK|KC 0.067 . PY17X_0946700 141 EANNYKK|CN 0.104 . PY17X_0946700 157 NINEVDK|DM 0.082 . PY17X_0946700 190 IASVSDK|DQ 0.086 . PY17X_0946700 200 YYNYLDK|LN 0.061 . PY17X_0946700 204 LDKLNIK|GC 0.062 . PY17X_0946700 214 SLSGMMR|FK 0.108 . PY17X_0946700 216 SGMMRFK|TI 0.076 . PY17X_0946700 222 KTIWNAR|DD 0.146 . PY17X_0946700 228 RDDSIER|FY 0.083 . PY17X_0946700 239 VVNFISR|VA 0.077 . PY17X_0946700 245 RVAPNLR|IP 0.073 . PY17X_0946700 253 PSGFCYK|GP 0.066 . PY17X_0946700 267 IFDYIFR|IN 0.085 . PY17X_0946700 273 RINSGIK|FK 0.073 . PY17X_0946700 275 NSGIKFK|CI 0.092 . PY17X_0946700 282 CISELIK|AM 0.066 . PY17X_0946700 314 DNVCYYK|GT 0.064 . PY17X_0946700 327 NQANVSK|KN 0.070 . PY17X_0946700 328 QANVSKK|NL 0.214 . PY17X_0946700 343 NHFTTTK|PG 0.057 . PY17X_0946700 351 GNEDILK|IL 0.061 . ____________________________^_________________

  • Fasta :-

    >PY17X_0946700 ATGAGAAAAAATTTAAAAATGCAAAATAACAATAAAGGTTTAGTAGTAGACAATAATAAT TACTATATTTATAAAGATAGTTGGATTGAAAATTTTAATCAAAATGGTTATCCAGTATAT GCACTAGATTTGCAGGGGCATGGCGAATCATAAGGATGGGAAAATATAAAAGGCGATTTT AGTTGTTTTGATGATCTAGTTGATGATGTAATACATTATATGAATCAAATTCAAGATGAA ATCTCAAATGACAATCAAAATGATGATGAATCTCATGATATAGTAACAAATAAAAAAGAA AAACTTCCTATGTATATTATTGGGCATTCGTTGGGAGGAGGTATTGCTTTAAGAATATTA CAATTATTAGGGAAAGGAAAAGAAGATAACATTAATGCTGGAGAGGCAAATAACTATAAA AAATGTAACATCATGTTAGACAATTCTACTAATATTAATGAAGTTGACAAAGATATGTAT GATATCAATAATTCTAATGATTATGATTTCGATAATTCATGTTCTAGTATCTCTTCTACG ACAAATACTATTGCTAGTGTTAGTGATAAAGATCAAGAATACTATAATTATTTAGATAAA TTAAATATTAAAGGTTGCATATCTTTATCTGGTATGATGAGATTTAAAACTATATGGAAT GCTAGAGACGATTCAATTGAGCGTTTTTATTTACCTGTAGTAAACTTCATATCTCGCGTA GCGCCTAATTTACGAATTCCGTCAGGATTCTGTTATAAAGGCCCCCAATATGTTGTTAAT ATATTTGATTATATTTTTCGAATTAACAGTGGAATCAAATTTAAATGTATTTCTGAGCTT ATAAAAGCAATGATCACATTAAATTGTAATATTAATTATATGCCAACAGATGTTCCTTTA TTATTTGTACATTCAATAGATGATAATGTTTGTTATTATAAAGGGACTGTTTCGTTTTAT AATCAAGCAAATGTTAGTAAAAAAAATTTACATATTGTCGAAGGTATGAATCATTTTACA ACGACAAAACCAGGAAATGAAGACATTTTAAAAATATTATTGAATGGATTTCTAATTTAA
  • Download Fasta

  • Fasta :-

    MRKNLKMQNNNKGLVVDNNNYYIYKDSWIENFNQNGYPVYALDLQGHGES*GWENIKGDF SCFDDLVDDVIHYMNQIQDEISNDNQNDDESHDIVTNKKEKLPMYIIGHSLGGGIALRIL QLLGKGKEDNINAGEANNYKKCNIMLDNSTNINEVDKDMYDINNSNDYDFDNSCSSISST TNTIASVSDKDQEYYNYLDKLNIKGCISLSGMMRFKTIWNARDDSIERFYLPVVNFISRV APNLRIPSGFCYKGPQYVVNIFDYIFRINSGIKFKCISELIKAMITLNCNINYMPTDVPL LFVHSIDDNVCYYKGTVSFYNQANVSKKNLHIVEGMNHFTTTKPGNEDILKILLNGFLI

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
PY17X_0946700225 SARDDSIERF0.993unspPY17X_0946700225 SARDDSIERF0.993unspPY17X_0946700225 SARDDSIERF0.993unspPY17X_0946700186 SNTIASVSDK0.996unspPY17X_0946700188 SIASVSDKDQ0.998unsp
PY17X_0946700


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