• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0008234      

  • Computed_GO_Functions:  cysteine-type peptidase activity      

  • Computed_GO_Process_IDs:  GO:0006508      

  • Computed_GO_Processes:  proteolysis      

  • Curated_GO_Component_IDs:        

  • Curated_GO_Components:        

  • Curated_GO_Function_IDs:        

  • Curated_GO_Functions:        

  • Curated_GO_Processes:        

_IDPredictionOTHERSPmTPCS_Position
EDI_071650OTHER0.9999790.0000180.000003
No Results
  • Fasta :-

    >EDI_071650 MTNPYDGYIQQILELKHQLDEQSKLVEEEYCDAFNQIKEIALAVGFEDDKPIQPYQVEFQ LSHRDIIMPSLPKEFSTAIDNLKRGKCNSQISVSELMKSLRAEWLGDEVVNGFIELLQNK RIGFLNSFFFTKLSKNWSLSGNRIDFENSKRWVKNNDLFSYEKVLIPINISNTHWVLSVI DNDEHTISVYDSLSGGRSCQNISLKIAAFVRRLADETGHLGTYNIIDIDDNPKQSNGYDC GAFTCKCADCISLGVPLEFTQKDMPKWRELLVAQVIVGKLIVPRD
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EDI_071650.fa Sequence name : EDI_071650 Sequence length : 285 VALUES OF COMPUTED PARAMETERS Coef20 : 2.750 CoefTot : -0.544 ChDiff : -9 ZoneTo : 5 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.018 1.365 0.286 0.568 MesoH : -1.068 0.086 -0.418 0.129 MuHd_075 : 8.637 4.949 2.963 2.449 MuHd_095 : 25.587 20.174 7.990 5.558 MuHd_100 : 26.517 21.512 8.672 5.603 MuHd_105 : 22.498 19.205 7.736 4.783 Hmax_075 : -0.400 2.217 -2.892 2.112 Hmax_095 : 1.750 5.775 -1.328 3.220 Hmax_100 : 4.100 8.800 -0.764 3.560 Hmax_105 : 12.200 11.400 1.846 5.010 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9821 0.0179 DFMC : 0.9930 0.0070
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 285 EDI_071650 MTNPYDGYIQQILELKHQLDEQSKLVEEEYCDAFNQIKEIALAVGFEDDKPIQPYQVEFQLSHRDIIMPSLPKEFSTAID 80 NLKRGKCNSQISVSELMKSLRAEWLGDEVVNGFIELLQNKRIGFLNSFFFTKLSKNWSLSGNRIDFENSKRWVKNNDLFS 160 YEKVLIPINISNTHWVLSVIDNDEHTISVYDSLSGGRSCQNISLKIAAFVRRLADETGHLGTYNIIDIDDNPKQSNGYDC 240 GAFTCKCADCISLGVPLEFTQKDMPKWRELLVAQVIVGKLIVPRD 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ............................................. 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EDI_071650 16 QQILELK|HQ 0.059 . EDI_071650 24 QLDEQSK|LV 0.074 . EDI_071650 38 DAFNQIK|EI 0.062 . EDI_071650 50 VGFEDDK|PI 0.062 . EDI_071650 64 EFQLSHR|DI 0.082 . EDI_071650 73 IMPSLPK|EF 0.067 . EDI_071650 83 TAIDNLK|RG 0.052 . EDI_071650 84 AIDNLKR|GK 0.177 . EDI_071650 86 DNLKRGK|CN 0.073 . EDI_071650 98 SVSELMK|SL 0.092 . EDI_071650 101 ELMKSLR|AE 0.086 . EDI_071650 120 IELLQNK|RI 0.060 . EDI_071650 121 ELLQNKR|IG 0.091 . EDI_071650 132 NSFFFTK|LS 0.059 . EDI_071650 135 FFTKLSK|NW 0.061 . EDI_071650 143 WSLSGNR|ID 0.063 . EDI_071650 150 IDFENSK|RW 0.058 . EDI_071650 151 DFENSKR|WV 0.180 . EDI_071650 154 NSKRWVK|NN 0.090 . EDI_071650 163 DLFSYEK|VL 0.058 . EDI_071650 197 DSLSGGR|SC 0.081 . EDI_071650 205 CQNISLK|IA 0.073 . EDI_071650 211 KIAAFVR|RL 0.101 . EDI_071650 212 IAAFVRR|LA 0.258 . EDI_071650 233 DIDDNPK|QS 0.059 . EDI_071650 246 CGAFTCK|CA 0.076 . EDI_071650 262 PLEFTQK|DM 0.061 . EDI_071650 266 TQKDMPK|WR 0.075 . EDI_071650 268 KDMPKWR|EL 0.117 . EDI_071650 279 AQVIVGK|LI 0.061 . EDI_071650 284 GKLIVPR|D- 0.125 . ____________________________^_________________
  • Fasta :-

    >EDI_071650 ATGACAAATCCTTATGATGGTTATATTCAACAAATTTTAGAATTAAAACACCAATTAGAT GAACAATCAAAACTTGTAGAAGAAGAATACTGTGATGCTTTTAACCAAATAAAAGAAATA GCATTAGCTGTTGGATTTGAAGATGATAAACCAATACAGCCATATCAAGTTGAATTTCAA TTGTCACATCGTGACATAATTATGCCATCACTACCCAAAGAATTTAGTACAGCTATCGAT AATTTAAAAAGAGGAAAATGCAACAGTCAGATTAGTGTTTCTGAGTTAATGAAGTCGTTA AGAGCAGAATGGCTTGGAGATGAAGTAGTTAATGGATTTATTGAGTTATTACAAAATAAA AGAATTGGATTTTTAAATTCATTCTTTTTTACAAAATTATCAAAAAATTGGAGTTTATCA GGCAATCGAATTGACTTTGAAAATAGTAAACGTTGGGTAAAAAATAATGATTTGTTTTCA TATGAAAAAGTACTTATTCCAATCAACATCAGTAATACTCATTGGGTACTTAGTGTTATT GATAATGATGAACATACTATTAGTGTTTACGATTCTTTATCTGGGGGAAGGAGTTGTCAA AATATCAGTTTAAAAATAGCTGCTTTTGTTAGAAGATTAGCTGATGAAACTGGTCATTTA GGGACGTATAATATTATTGATATAGATGATAATCCAAAACAAAGTAACGGATACGATTGT GGTGCTTTTACCTGTAAATGTGCTGATTGCATTTCTTTAGGAGTGCCATTAGAGTTTACA CAAAAGGATATGCCTAAATGGAGAGAGTTATTAGTTGCTCAAGTGATTGTAGGCAAATTA ATAGTACCAAGAGATTAA
  • Download Fasta
  • Fasta :-

    MTNPYDGYIQQILELKHQLDEQSKLVEEEYCDAFNQIKEIALAVGFEDDKPIQPYQVEFQ LSHRDIIMPSLPKEFSTAIDNLKRGKCNSQISVSELMKSLRAEWLGDEVVNGFIELLQNK RIGFLNSFFFTKLSKNWSLSGNRIDFENSKRWVKNNDLFSYEKVLIPINISNTHWVLSVI DNDEHTISVYDSLSGGRSCQNISLKIAAFVRRLADETGHLGTYNIIDIDDNPKQSNGYDC GAFTCKCADCISLGVPLEFTQKDMPKWRELLVAQVIVGKLIVPRD

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
EDI_071650188 SEHTISVYDS0.993unspEDI_071650188 SEHTISVYDS0.993unspEDI_071650188 SEHTISVYDS0.993unspEDI_07165062 SEFQLSHRDI0.992unspEDI_071650178 SHWVLSVIDN0.995unsp

EDI_071650      



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