PKNH_0940900 | alpha/beta hydrolase, putative

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_IDPredictionOTHERSPmTPCS_Position
PKNH_0940900SP0.2253260.6721800.102494CS pos: 21-22. CRC-FF. Pr: 0.7828
No Results

  • Fasta :-

    >PKNH_0940900 MHLPLGRTIFALLYIVRFCRCFFPISGGESRGIHRQGIYPSEGEKQMRSLLRKGNITHLC NKIRCANHVQRYEGRRGIFSSTGSSGKRNPLSSRLFSSFETKTPGSQVEQVVDGIAVTIY DNTNIFKEEISNTPIVLIHGCYGSKNNFRVFSKSLKSNKIVTLDLRNHGNSKHTDSMKYE EMESDIKKVLDELHIRKCCLVGFSLGGKVSMYCALKNQSLFSHLVVMDILPFDYNEKKYH VKLPYNISHMTKILFNIKTKLRPRNKAQFLAHLRAQVPDISSSFEQFICTSLKEERAKVG KATGEVDMPIGGTDLIRDSSMGTEGAIRYSENPATEQKNLVWKINVDTIFRELPHILSFP LNHQEHKYHNPCSFIIGTKSDLVYTMPQYESIIENYFPSSQKFILPDATHTVYIDNAKEC ADIVNRTLRL
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0940900.fa Sequence name : PKNH_0940900 Sequence length : 430 VALUES OF COMPUTED PARAMETERS Coef20 : 4.676 CoefTot : -0.506 ChDiff : 16 ZoneTo : 28 KR : 3 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.235 1.847 0.341 0.522 MesoH : -0.828 0.188 -0.476 0.155 MuHd_075 : 30.268 14.793 9.173 7.000 MuHd_095 : 26.715 12.145 5.850 5.901 MuHd_100 : 30.348 18.760 7.131 6.811 MuHd_105 : 43.449 26.956 10.866 10.341 Hmax_075 : 17.267 19.600 5.147 6.883 Hmax_095 : 16.975 16.100 4.210 6.212 Hmax_100 : 18.500 19.800 5.632 6.370 Hmax_105 : 18.900 22.200 6.667 6.570 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.2464 0.7536 DFMC : 0.4827 0.5173 This protein is probably imported in mitochondria. f(Ser) = 0.0357 f(Arg) = 0.1071 CMi = 0.16234 CMi is the Chloroplast/Mitochondria Index It has been proposed by Von Heijne et al (Eur J Biochem,1989, 180: 535-545)
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 430 PKNH_0940900 MHLPLGRTIFALLYIVRFCRCFFPISGGESRGIHRQGIYPSEGEKQMRSLLRKGNITHLCNKIRCANHVQRYEGRRGIFS 80 STGSSGKRNPLSSRLFSSFETKTPGSQVEQVVDGIAVTIYDNTNIFKEEISNTPIVLIHGCYGSKNNFRVFSKSLKSNKI 160 VTLDLRNHGNSKHTDSMKYEEMESDIKKVLDELHIRKCCLVGFSLGGKVSMYCALKNQSLFSHLVVMDILPFDYNEKKYH 240 VKLPYNISHMTKILFNIKTKLRPRNKAQFLAHLRAQVPDISSSFEQFICTSLKEERAKVGKATGEVDMPIGGTDLIRDSS 320 MGTEGAIRYSENPATEQKNLVWKINVDTIFRELPHILSFPLNHQEHKYHNPCSFIIGTKSDLVYTMPQYESIIENYFPSS 400 QKFILPDATHTVYIDNAKECADIVNRTLRL 480 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 .............................. 480 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_0940900 7 MHLPLGR|TI 0.089 . PKNH_0940900 17 ALLYIVR|FC 0.083 . PKNH_0940900 20 YIVRFCR|CF 0.256 . PKNH_0940900 31 ISGGESR|GI 0.143 . PKNH_0940900 35 ESRGIHR|QG 0.073 . PKNH_0940900 45 YPSEGEK|QM 0.063 . PKNH_0940900 48 EGEKQMR|SL 0.150 . PKNH_0940900 52 QMRSLLR|KG 0.079 . PKNH_0940900 53 MRSLLRK|GN 0.149 . PKNH_0940900 62 ITHLCNK|IR 0.060 . PKNH_0940900 64 HLCNKIR|CA 0.156 . PKNH_0940900 71 CANHVQR|YE 0.123 . PKNH_0940900 75 VQRYEGR|RG 0.080 . PKNH_0940900 76 QRYEGRR|GI 0.199 . PKNH_0940900 87 STGSSGK|RN 0.057 . PKNH_0940900 88 TGSSGKR|NP 0.139 . PKNH_0940900 94 RNPLSSR|LF 0.089 . PKNH_0940900 102 FSSFETK|TP 0.083 . PKNH_0940900 127 DNTNIFK|EE 0.058 . PKNH_0940900 145 HGCYGSK|NN 0.062 . PKNH_0940900 149 GSKNNFR|VF 0.138 . PKNH_0940900 153 NFRVFSK|SL 0.079 . PKNH_0940900 156 VFSKSLK|SN 0.088 . PKNH_0940900 159 KSLKSNK|IV 0.077 . PKNH_0940900 166 IVTLDLR|NH 0.087 . PKNH_0940900 172 RNHGNSK|HT 0.071 . PKNH_0940900 178 KHTDSMK|YE 0.070 . PKNH_0940900 187 EMESDIK|KV 0.065 . PKNH_0940900 188 MESDIKK|VL 0.112 . PKNH_0940900 196 LDELHIR|KC 0.085 . PKNH_0940900 197 DELHIRK|CC 0.069 . PKNH_0940900 208 GFSLGGK|VS 0.056 . PKNH_0940900 216 SMYCALK|NQ 0.056 . PKNH_0940900 237 PFDYNEK|KY 0.060 . PKNH_0940900 238 FDYNEKK|YH 0.089 . PKNH_0940900 242 EKKYHVK|LP 0.068 . PKNH_0940900 252 NISHMTK|IL 0.077 . PKNH_0940900 258 KILFNIK|TK 0.051 . PKNH_0940900 260 LFNIKTK|LR 0.063 . PKNH_0940900 262 NIKTKLR|PR 0.087 . PKNH_0940900 264 KTKLRPR|NK 0.089 . PKNH_0940900 266 KLRPRNK|AQ 0.062 . PKNH_0940900 274 QFLAHLR|AQ 0.073 . PKNH_0940900 293 FICTSLK|EE 0.060 . PKNH_0940900 296 TSLKEER|AK 0.088 . PKNH_0940900 298 LKEERAK|VG 0.065 . PKNH_0940900 301 ERAKVGK|AT 0.107 . PKNH_0940900 317 GGTDLIR|DS 0.133 . PKNH_0940900 328 GTEGAIR|YS 0.081 . PKNH_0940900 338 NPATEQK|NL 0.065 . PKNH_0940900 343 QKNLVWK|IN 0.071 . PKNH_0940900 351 NVDTIFR|EL 0.072 . PKNH_0940900 367 LNHQEHK|YH 0.070 . PKNH_0940900 379 SFIIGTK|SD 0.067 . PKNH_0940900 402 YFPSSQK|FI 0.064 . PKNH_0940900 418 VYIDNAK|EC 0.062 . PKNH_0940900 426 CADIVNR|TL 0.074 . PKNH_0940900 429 IVNRTLR|L- 0.253 . ____________________________^_________________

  • Fasta :-

    >PKNH_0940900 ATGCATTTACCACTTGGGCGAACCATTTTTGCACTCTTGTACATAGTGAGGTTTTGCAGG TGCTTCTTTCCTATTTCCGGAGGGGAATCCAGAGGAATCCACAGACAGGGCATATACCCA AGTGAAGGAGAAAAACAAATGCGAAGTCTTCTGAGGAAGGGAAACATCACACATCTGTGT AACAAAATAAGATGTGCAAATCATGTGCAGCGATATGAAGGTAGAAGGGGAATATTTAGT TCCACGGGGAGTAGTGGGAAAAGGAATCCACTGAGTAGTCGGCTTTTCAGCTCATTCGAA ACAAAAACGCCCGGTAGTCAAGTAGAACAAGTAGTGGACGGAATAGCAGTGACCATTTAT GATAATACAAATATATTCAAGGAAGAGATTAGTAACACCCCGATAGTTTTAATTCACGGA TGTTATGGTAGCAAAAATAACTTTCGTGTTTTTAGCAAAAGCTTAAAAAGCAATAAAATT GTAACCCTTGATTTACGGAACCATGGCAATTCAAAACATACAGATAGTATGAAATATGAA GAAATGGAAAGTGATATAAAAAAAGTTCTGGATGAACTTCATATTAGGAAATGCTGTTTA GTTGGTTTCAGTTTAGGTGGGAAAGTATCCATGTATTGTGCCCTAAAAAACCAGTCTCTT TTTTCTCACCTAGTCGTCATGGACATCCTTCCCTTTGACTACAATGAGAAGAAATACCAC GTGAAGCTTCCCTACAATATTAGCCACATGACAAAAATCCTTTTTAATATTAAGACCAAG CTGCGCCCGAGGAATAAGGCTCAATTTCTTGCCCACTTGCGAGCACAAGTGCCAGACATA TCTAGCTCCTTCGAACAGTTCATTTGCACATCGCTCAAGGAGGAAAGGGCAAAAGTGGGG AAGGCAACTGGAGAGGTGGATATGCCCATAGGTGGGACGGACTTGATCCGTGATTCCAGC ATGGGTACTGAGGGTGCGATTCGATATTCAGAGAACCCTGCCACTGAACAGAAAAACCTT GTGTGGAAAATTAACGTAGACACCATATTCAGGGAACTTCCCCACATTCTTAGCTTCCCA CTAAATCACCAAGAGCACAAGTATCACAACCCTTGTAGTTTTATCATTGGCACGAAGTCA GATTTAGTCTATACCATGCCGCAGTACGAATCCATTATAGAGAATTACTTTCCGTCAAGC CAGAAATTTATTTTGCCTGATGCAACTCATACTGTTTATATTGACAATGCAAAGGAGTGT GCTGATATTGTTAATAGGACATTGCGCTTGTAA
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  • Fasta :-

    MHLPLGRTIFALLYIVRFCRCFFPISGGESRGIHRQGIYPSEGEKQMRSLLRKGNITHLC NKIRCANHVQRYEGRRGIFSSTGSSGKRNPLSSRLFSSFETKTPGSQVEQVVDGIAVTIY DNTNIFKEEISNTPIVLIHGCYGSKNNFRVFSKSLKSNKIVTLDLRNHGNSKHTDSMKYE EMESDIKKVLDELHIRKCCLVGFSLGGKVSMYCALKNQSLFSHLVVMDILPFDYNEKKYH VKLPYNISHMTKILFNIKTKLRPRNKAQFLAHLRAQVPDISSSFEQFICTSLKEERAKVG KATGEVDMPIGGTDLIRDSSMGTEGAIRYSENPATEQKNLVWKINVDTIFRELPHILSFP LNHQEHKYHNPCSFIIGTKSDLVYTMPQYESIIENYFPSSQKFILPDATHTVYIDNAKEC ADIVNRTLRL

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
PKNH_0940900106 SKTPGSQVEQ0.996unspPKNH_0940900106 SKTPGSQVEQ0.996unspPKNH_0940900106 SKTPGSQVEQ0.996unspPKNH_0940900154 SVFSKSLKSN0.995unspPKNH_0940900176 SKHTDSMKYE0.993unspPKNH_0940900319 SLIRDSSMGT0.992unspPKNH_094090085 SSTGSSGKRN0.996unspPKNH_094090097 SSRLFSSFET0.996unsp

PKH_094050      



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