• 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
LmjF.07.0030OTHER0.9997080.0002420.000049
No Results
  • Fasta :-

    >LmjF.07.0030 MTLAPELKVQPNRPVNFAWAYDKEVGFLKDCFLLWSVKSKGVKNDGCLVGELTSNEAIVA YKLNCMCKLHVKRTAAHSSCAVTKDNFNAIGYGARLVFKICNIADCIVRNGESNRVLSVS STIMSMSVIHGGITIQTIPVHCVFNYELCNPLRMAHVDRQKCAPGYVVSDPLPEINEYSD ADVVIKNLLSAHSLHDAHEKNAFTALVRAMISDRDMQKLGGNTEADQYALIGVFLILYGP GSIKIANQENELVPKKHVDYCGKKQIMNLTRKNHDT
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/26 Sequence name : 26 Sequence length : 276 VALUES OF COMPUTED PARAMETERS Coef20 : 3.815 CoefTot : -0.883 ChDiff : 4 ZoneTo : 21 KR : 2 DE : 1 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.659 1.729 0.217 0.704 MesoH : -0.245 0.547 -0.210 0.228 MuHd_075 : 12.431 7.628 2.876 2.877 MuHd_095 : 21.046 13.210 5.393 5.306 MuHd_100 : 21.577 14.533 6.183 4.973 MuHd_105 : 23.305 11.820 5.951 4.700 Hmax_075 : 5.075 6.000 -1.175 3.185 Hmax_095 : 11.287 9.887 1.599 4.891 Hmax_100 : 11.000 12.200 1.599 4.780 Hmax_105 : 12.700 8.900 0.796 4.420 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9693 0.0307 DFMC : 0.9721 0.0279
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 276 LmjF.07.0030 MTLAPELKVQPNRPVNFAWAYDKEVGFLKDCFLLWSVKSKGVKNDGCLVGELTSNEAIVAYKLNCMCKLHVKRTAAHSSC 80 AVTKDNFNAIGYGARLVFKICNIADCIVRNGESNRVLSVSSTIMSMSVIHGGITIQTIPVHCVFNYELCNPLRMAHVDRQ 160 KCAPGYVVSDPLPEINEYSDADVVIKNLLSAHSLHDAHEKNAFTALVRAMISDRDMQKLGGNTEADQYALIGVFLILYGP 240 GSIKIANQENELVPKKHVDYCGKKQIMNLTRKNHDT 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 .................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ LmjF.07.0030 8 TLAPELK|VQ 0.056 . LmjF.07.0030 13 LKVQPNR|PV 0.111 . LmjF.07.0030 23 FAWAYDK|EV 0.077 . LmjF.07.0030 29 KEVGFLK|DC 0.062 . LmjF.07.0030 38 FLLWSVK|SK 0.082 . LmjF.07.0030 40 LWSVKSK|GV 0.111 . LmjF.07.0030 43 VKSKGVK|ND 0.071 . LmjF.07.0030 62 EAIVAYK|LN 0.062 . LmjF.07.0030 68 KLNCMCK|LH 0.061 . LmjF.07.0030 72 MCKLHVK|RT 0.060 . LmjF.07.0030 73 CKLHVKR|TA 0.198 . LmjF.07.0030 84 SSCAVTK|DN 0.097 . LmjF.07.0030 95 AIGYGAR|LV 0.118 . LmjF.07.0030 99 GARLVFK|IC 0.068 . LmjF.07.0030 109 IADCIVR|NG 0.073 . LmjF.07.0030 115 RNGESNR|VL 0.111 . LmjF.07.0030 153 ELCNPLR|MA 0.098 . LmjF.07.0030 159 RMAHVDR|QK 0.121 . LmjF.07.0030 161 AHVDRQK|CA 0.066 . LmjF.07.0030 186 DADVVIK|NL 0.058 . LmjF.07.0030 200 LHDAHEK|NA 0.080 . LmjF.07.0030 208 AFTALVR|AM 0.075 . LmjF.07.0030 214 RAMISDR|DM 0.123 . LmjF.07.0030 218 SDRDMQK|LG 0.070 . LmjF.07.0030 244 YGPGSIK|IA 0.066 . LmjF.07.0030 255 ENELVPK|KH 0.058 . LmjF.07.0030 256 NELVPKK|HV 0.139 . LmjF.07.0030 263 HVDYCGK|KQ 0.059 . LmjF.07.0030 264 VDYCGKK|QI 0.084 . LmjF.07.0030 271 QIMNLTR|KN 0.100 . LmjF.07.0030 272 IMNLTRK|NH 0.093 . ____________________________^_________________
  • Fasta :-

    >LmjF.07.0030 ATGACACTCGCTCCCGAGCTCAAGGTCCAGCCCAATCGGCCAGTTAACTTTGCCTGGGCG TACGACAAGGAAGTTGGCTTCCTGAAAGATTGTTTTCTTCTGTGGTCTGTGAAGAGCAAA GGTGTCAAGAATGATGGCTGCCTAGTTGGCGAGCTCACCTCCAACGAGGCGATCGTGGCG TACAAGCTTAACTGCATGTGCAAGCTACACGTGAAGAGGACGGCCGCCCATTCGTCATGC GCGGTGACGAAGGACAACTTCAACGCGATTGGCTACGGCGCCAGGCTCGTCTTCAAGATC TGCAATATTGCAGACTGCATCGTGCGAAATGGAGAGAGCAACCGCGTCCTCAGTGTGTCG AGCACTATCATGTCCATGAGTGTGATTCACGGGGGTATCACTATTCAAACGATTCCCGTC CATTGCGTTTTCAACTATGAGCTCTGCAACCCACTTCGGATGGCGCATGTAGATCGCCAG AAATGCGCTCCTGGCTACGTTGTGAGCGATCCGCTTCCGGAGATAAATGAGTACAGTGAT GCTGACGTAGTCATCAAAAACCTTCTCTCCGCTCACTCGCTCCACGACGCTCATGAAAAG AACGCCTTCACTGCGCTGGTTCGTGCTATGATTAGTGACCGGGACATGCAGAAACTTGGT GGCAACACGGAGGCTGACCAGTATGCTCTTATCGGCGTTTTTCTGATCCTCTACGGCCCT GGCAGCATCAAAATTGCGAACCAGGAGAATGAGCTTGTCCCGAAGAAGCATGTGGATTAC TGTGGGAAGAAGCAGATCATGAACCTTACACGCAAGAATCACGATACGTAG
  • Download Fasta
  • Fasta :-

    MTLAPELKVQPNRPVNFAWAYDKEVGFLKDCFLLWSVKSKGVKNDGCLVGELTSNEAIVA YKLNCMCKLHVKRTAAHSSCAVTKDNFNAIGYGARLVFKICNIADCIVRNGESNRVLSVS STIMSMSVIHGGITIQTIPVHCVFNYELCNPLRMAHVDRQKCAPGYVVSDPLPEINEYSD ADVVIKNLLSAHSLHDAHEKNAFTALVRAMISDRDMQKLGGNTEADQYALIGVFLILYGP GSIKIANQENELVPKKHVDYCGKKQIMNLTRKNHDT

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethod
LmjF.07.0030118 SNRVLSVSST0.995unspLmjF.07.0030193 SLSAHSLHDA0.991unsp

LmjF.07.0030      



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