PKNH_0918100 | alpha/beta hydrolase fold domain containing protein, putative

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_IDPredictionOTHERSPmTPCS_Position
PKNH_0918100OTHER0.9999480.0000330.000020
No Results

  • Fasta :-

    >PKNH_0918100 MSNKDYVSRWDSPQIAEKSKSMKDDEHIYDVDITLEDKYIKDYEVTGASRFAFFVLGLMT LCGLRSFIVSKIAFHPPQLKGYEVVDNQFMYKNPFSSYDINDLLEQNNVGIKYNKIVNGT DQVASILLYRKPLDLNKQIILYSHGNNTDMGHSLPSYINLIFQTDANIITYDYSGYGYSN KKPTEKSMHKNIKMVYNFLTENLRINPLNIILFGHSIGTCASSYLISLRNIKVGGCILQS GLASGIKLLFPFQKRYLSWFDTFKNYEKLRKASILPVYIMHGKMDEHIPYYHSIILLNTL RKNFEKKYKKMKTLSHSPDKNVDIKSLITFWGIANSDHNNIELVNTDNFYRRLRAFLMFC KKYNRV
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0918100.fa Sequence name : PKNH_0918100 Sequence length : 366 VALUES OF COMPUTED PARAMETERS Coef20 : 3.596 CoefTot : -0.135 ChDiff : 14 ZoneTo : 4 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.618 2.006 0.323 0.633 MesoH : -0.196 0.511 -0.270 0.260 MuHd_075 : 31.472 19.588 9.181 7.873 MuHd_095 : 9.929 12.178 4.378 2.033 MuHd_100 : 8.958 9.555 4.741 0.408 MuHd_105 : 11.827 5.061 5.226 1.368 Hmax_075 : -6.533 -1.750 -3.714 1.587 Hmax_095 : -8.700 1.500 -3.578 0.360 Hmax_100 : -8.700 -0.800 -3.916 -0.080 Hmax_105 : -10.967 -3.850 -4.150 0.898 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9690 0.0310 DFMC : 0.9731 0.0269
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 366 PKNH_0918100 MSNKDYVSRWDSPQIAEKSKSMKDDEHIYDVDITLEDKYIKDYEVTGASRFAFFVLGLMTLCGLRSFIVSKIAFHPPQLK 80 GYEVVDNQFMYKNPFSSYDINDLLEQNNVGIKYNKIVNGTDQVASILLYRKPLDLNKQIILYSHGNNTDMGHSLPSYINL 160 IFQTDANIITYDYSGYGYSNKKPTEKSMHKNIKMVYNFLTENLRINPLNIILFGHSIGTCASSYLISLRNIKVGGCILQS 240 GLASGIKLLFPFQKRYLSWFDTFKNYEKLRKASILPVYIMHGKMDEHIPYYHSIILLNTLRKNFEKKYKKMKTLSHSPDK 320 NVDIKSLITFWGIANSDHNNIELVNTDNFYRRLRAFLMFCKKYNRV 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 .............................................. 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_0918100 4 ---MSNK|DY 0.065 . PKNH_0918100 9 NKDYVSR|WD 0.114 . PKNH_0918100 18 SPQIAEK|SK 0.099 . PKNH_0918100 20 QIAEKSK|SM 0.100 . PKNH_0918100 23 EKSKSMK|DD 0.126 . PKNH_0918100 38 DITLEDK|YI 0.067 . PKNH_0918100 41 LEDKYIK|DY 0.072 . PKNH_0918100 50 EVTGASR|FA 0.096 . PKNH_0918100 65 MTLCGLR|SF 0.091 . PKNH_0918100 71 RSFIVSK|IA 0.069 . PKNH_0918100 80 FHPPQLK|GY 0.072 . PKNH_0918100 92 DNQFMYK|NP 0.062 . PKNH_0918100 112 QNNVGIK|YN 0.071 . PKNH_0918100 115 VGIKYNK|IV 0.069 . PKNH_0918100 130 ASILLYR|KP 0.074 . PKNH_0918100 131 SILLYRK|PL 0.070 . PKNH_0918100 137 KPLDLNK|QI 0.061 . PKNH_0918100 181 GYGYSNK|KP 0.062 . PKNH_0918100 182 YGYSNKK|PT 0.110 . PKNH_0918100 186 NKKPTEK|SM 0.102 . PKNH_0918100 190 TEKSMHK|NI 0.066 . PKNH_0918100 193 SMHKNIK|MV 0.111 . PKNH_0918100 204 FLTENLR|IN 0.062 . PKNH_0918100 229 SYLISLR|NI 0.095 . PKNH_0918100 232 ISLRNIK|VG 0.117 . PKNH_0918100 247 GLASGIK|LL 0.063 . PKNH_0918100 254 LLFPFQK|RY 0.067 . PKNH_0918100 255 LFPFQKR|YL 0.185 . PKNH_0918100 264 SWFDTFK|NY 0.072 . PKNH_0918100 268 TFKNYEK|LR 0.056 . PKNH_0918100 270 KNYEKLR|KA 0.123 . PKNH_0918100 271 NYEKLRK|AS 0.068 . PKNH_0918100 283 VYIMHGK|MD 0.068 . PKNH_0918100 301 ILLNTLR|KN 0.071 . PKNH_0918100 302 LLNTLRK|NF 0.102 . PKNH_0918100 306 LRKNFEK|KY 0.072 . PKNH_0918100 307 RKNFEKK|YK 0.155 . PKNH_0918100 309 NFEKKYK|KM 0.063 . PKNH_0918100 310 FEKKYKK|MK 0.080 . PKNH_0918100 312 KKYKKMK|TL 0.088 . PKNH_0918100 320 LSHSPDK|NV 0.087 . PKNH_0918100 325 DKNVDIK|SL 0.089 . PKNH_0918100 351 NTDNFYR|RL 0.083 . PKNH_0918100 352 TDNFYRR|LR 0.117 . PKNH_0918100 354 NFYRRLR|AF 0.142 . PKNH_0918100 361 AFLMFCK|KY 0.061 . PKNH_0918100 362 FLMFCKK|YN 0.100 . PKNH_0918100 365 FCKKYNR|V- 0.076 . ____________________________^_________________

  • Fasta :-

    >PKNH_0918100 ATGAGTAATAAGGATTACGTGTCCCGGTGGGATTCACCCCAAATCGCAGAGAAGAGCAAA AGCATGAAGGATGATGAGCACATTTATGATGTGGACATTACACTAGAGGACAAGTACATC AAGGATTATGAGGTAACAGGGGCTAGTAGGTTTGCGTTCTTCGTCTTGGGCCTCATGACT CTGTGCGGACTGAGGTCTTTCATCGTGAGTAAGATAGCCTTCCATCCCCCCCAATTGAAG GGATACGAGGTGGTGGACAACCAGTTCATGTACAAGAACCCCTTCAGTTCATACGACATA AATGATCTACTGGAACAGAACAACGTAGGAATAAAATACAATAAAATAGTGAACGGGACG GATCAAGTGGCATCTATCCTCCTCTACAGAAAGCCACTTGACCTAAACAAACAAATCATT CTGTACTCACATGGCAACAACACAGACATGGGACACTCATTACCATCCTACATCAACTTA ATCTTTCAAACTGATGCAAATATAATTACCTATGACTACAGTGGATACGGATATAGTAAT AAGAAACCAACAGAAAAAAGTATGCACAAAAATATTAAAATGGTATACAATTTTTTAACG GAAAATCTTCGTATTAATCCGTTGAATATAATATTGTTTGGCCATAGCATTGGAACCTGT GCAAGTAGCTACTTAATTAGTTTGAGGAATATAAAGGTAGGGGGGTGTATTTTGCAATCC GGCTTGGCCAGTGGGATAAAGCTCTTATTCCCTTTTCAGAAGAGGTACCTTTCTTGGTTT GATACATTTAAAAATTATGAGAAGTTGCGCAAGGCATCTATTCTCCCTGTGTACATTATG CATGGGAAAATGGACGAACATATTCCATACTACCATTCGATCATTTTACTAAACACACTT CGAAAAAACTTCGAGAAGAAGTACAAGAAAATGAAGACATTGTCTCATTCTCCGGATAAG AATGTCGATATTAAATCCCTCATCACATTCTGGGGCATTGCCAATTCGGACCATAACAAC ATTGAATTAGTCAACACGGACAACTTCTATCGCCGCCTCCGCGCCTTCCTCATGTTTTGT AAGAAGTACAACCGGGTCTAG
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  • Fasta :-

    MSNKDYVSRWDSPQIAEKSKSMKDDEHIYDVDITLEDKYIKDYEVTGASRFAFFVLGLMT LCGLRSFIVSKIAFHPPQLKGYEVVDNQFMYKNPFSSYDINDLLEQNNVGIKYNKIVNGT DQVASILLYRKPLDLNKQIILYSHGNNTDMGHSLPSYINLIFQTDANIITYDYSGYGYSN KKPTEKSMHKNIKMVYNFLTENLRINPLNIILFGHSIGTCASSYLISLRNIKVGGCILQS GLASGIKLLFPFQKRYLSWFDTFKNYEKLRKASILPVYIMHGKMDEHIPYYHSIILLNTL RKNFEKKYKKMKTLSHSPDKNVDIKSLITFWGIANSDHNNIELVNTDNFYRRLRAFLMFC KKYNRV

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
PKNH_0918100317 STLSHSPDKN0.993unspPKNH_0918100317 STLSHSPDKN0.993unspPKNH_0918100317 STLSHSPDKN0.993unspPKNH_091810021 SEKSKSMKDD0.998unspPKNH_0918100258 SKRYLSWFDT0.998unsp

PK11_1700c      PKH_091780      



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