EDI_201690 | acetylornithine deacetylase, putative

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0016787      

  • Computed_GO_Functions:  hydrolase activity      

  • Computed_GO_Process_IDs:  GO:0008152      

  • Computed_GO_Processes:  metabolic process      

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
EDI_201690OTHER0.9996610.0003100.000029
No Results

  • Fasta :-

    >EDI_201690 MSTTLDYVKTILEQMVAIDSQSSKDSHEEITQYMTSLLKNDLGLIVEVVPYSKNPHKHNI IAYKKLGFKVVLCGHLDTVDIGSGWTKEPLKCTTEVVDDKTYIYGRGTSDMKGGNAVIIA TLKRLIEDSNNIDDIAIFFSTEEEIGVRGCQDFMVSHKYFFESVETFVVLEPTNLYIGSG QNGHYWVKYTCHGKSANIIEAHTGVNAIEGMTDLNCVLKESITAPDLNGYVTLNIGTIEG GEKVNIVPDLCVETVYYQFGPNVFGKDLEEIIKQTIDQMNEISYAQYEYEFVRNYLQLNV DQQTSY
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EDI_201690.fa Sequence name : EDI_201690 Sequence length : 306 VALUES OF COMPUTED PARAMETERS Coef20 : 4.093 CoefTot : 0.234 ChDiff : -19 ZoneTo : 5 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.294 1.112 -0.076 0.422 MesoH : -0.542 0.229 -0.378 0.242 MuHd_075 : 14.454 11.852 4.998 4.059 MuHd_095 : 29.640 20.781 8.236 5.616 MuHd_100 : 33.405 24.244 8.670 6.622 MuHd_105 : 33.284 24.904 8.356 6.839 Hmax_075 : 11.200 11.500 1.994 4.250 Hmax_095 : 19.100 19.800 3.225 5.930 Hmax_100 : 19.600 20.100 3.475 6.230 Hmax_105 : 10.500 13.200 0.570 3.973 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7336 0.2664 DFMC : 0.8576 0.1424
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 306 EDI_201690 MSTTLDYVKTILEQMVAIDSQSSKDSHEEITQYMTSLLKNDLGLIVEVVPYSKNPHKHNIIAYKKLGFKVVLCGHLDTVD 80 IGSGWTKEPLKCTTEVVDDKTYIYGRGTSDMKGGNAVIIATLKRLIEDSNNIDDIAIFFSTEEEIGVRGCQDFMVSHKYF 160 FESVETFVVLEPTNLYIGSGQNGHYWVKYTCHGKSANIIEAHTGVNAIEGMTDLNCVLKESITAPDLNGYVTLNIGTIEG 240 GEKVNIVPDLCVETVYYQFGPNVFGKDLEEIIKQTIDQMNEISYAQYEYEFVRNYLQLNVDQQTSY 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 .................................................................. 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EDI_201690 9 TTLDYVK|TI 0.059 . EDI_201690 24 IDSQSSK|DS 0.116 . EDI_201690 39 YMTSLLK|ND 0.051 . EDI_201690 53 EVVPYSK|NP 0.055 . EDI_201690 57 YSKNPHK|HN 0.072 . EDI_201690 64 HNIIAYK|KL 0.077 . EDI_201690 65 NIIAYKK|LG 0.083 . EDI_201690 69 YKKLGFK|VV 0.062 . EDI_201690 87 IGSGWTK|EP 0.065 . EDI_201690 91 WTKEPLK|CT 0.069 . EDI_201690 100 TEVVDDK|TY 0.071 . EDI_201690 106 KTYIYGR|GT 0.122 . EDI_201690 112 RGTSDMK|GG 0.063 . EDI_201690 123 VIIATLK|RL 0.056 . EDI_201690 124 IIATLKR|LI 0.233 . EDI_201690 148 EEEIGVR|GC 0.081 . EDI_201690 158 DFMVSHK|YF 0.078 . EDI_201690 188 NGHYWVK|YT 0.077 . EDI_201690 194 KYTCHGK|SA 0.109 . EDI_201690 219 DLNCVLK|ES 0.068 . EDI_201690 243 TIEGGEK|VN 0.055 . EDI_201690 266 GPNVFGK|DL 0.163 . EDI_201690 273 DLEEIIK|QT 0.068 . EDI_201690 293 YEYEFVR|NY 0.080 . ____________________________^_________________

  • Fasta :-

    >EDI_201690 ATGTCCACCACTCTGGATTATGTCAAGACTATATTAGAACAAATGGTTGCTATTGATAGT CAGTCTTCGAAAGACAGCCATGAAGAAATTACACAGTACATGACTTCTTTATTAAAAAAT GACCTTGGTTTAATTGTTGAAGTTGTTCCTTACTCAAAGAACCCACACAAACATAATATC ATTGCTTATAAGAAACTTGGATTTAAGGTTGTCCTCTGTGGACACCTTGACACAGTCGAT ATTGGGTCTGGATGGACAAAGGAACCACTCAAATGCACAACAGAAGTAGTTGATGATAAA ACATACATCTATGGTCGAGGAACATCAGACATGAAAGGAGGAAATGCTGTCATTATTGCA ACACTAAAGAGATTAATTGAAGATAGCAACAACATTGATGACATAGCTATATTCTTTTCT ACAGAAGAAGAAATTGGAGTTCGTGGATGTCAAGATTTTATGGTTTCTCACAAATACTTT TTTGAATCAGTTGAAACATTTGTTGTACTTGAGCCAACAAATCTTTATATTGGCTCTGGA CAAAACGGTCATTATTGGGTAAAATATACTTGTCATGGAAAGTCTGCTAATATCATTGAA GCACATACTGGTGTTAATGCAATAGAAGGAATGACAGATTTAAATTGTGTATTAAAAGAA TCAATTACAGCACCAGACCTCAATGGGTATGTTACATTAAACATAGGAACTATTGAAGGT GGAGAAAAAGTCAATATAGTTCCTGATCTTTGTGTTGAAACTGTTTATTATCAATTTGGA CCAAACGTATTTGGCAAGGACTTAGAAGAAATTATTAAGCAAACTATTGACCAAATGAAT GAAATATCATATGCCCAATACGAATATGAATTCGTCAGAAATTACCTTCAATTAAATGTA GACCAACAAACGTCCTATTAA
  • Download Fasta

  • Fasta :-

    MSTTLDYVKTILEQMVAIDSQSSKDSHEEITQYMTSLLKNDLGLIVEVVPYSKNPHKHNI IAYKKLGFKVVLCGHLDTVDIGSGWTKEPLKCTTEVVDDKTYIYGRGTSDMKGGNAVIIA TLKRLIEDSNNIDDIAIFFSTEEEIGVRGCQDFMVSHKYFFESVETFVVLEPTNLYIGSG QNGHYWVKYTCHGKSANIIEAHTGVNAIEGMTDLNCVLKESITAPDLNGYVTLNIGTIEG GEKVNIVPDLCVETVYYQFGPNVFGKDLEEIIKQTIDQMNEISYAQYEYEFVRNYLQLNV DQQTSY

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
EDI_20169026 SSSKDSHEEI0.997unspEDI_20169026 SSSKDSHEEI0.997unspEDI_20169026 SSSKDSHEEI0.997unspEDI_20169022 SIDSQSSKDS0.997unspEDI_20169023 SDSQSSKDSH0.992unsp

EDI_201690      



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