• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0005515      

  • Computed_GO_Functions:  protein binding      

  • 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
PKNH_0710800OTHER0.9999150.0000350.000051
No Results
  • Fasta :-

    >PKNH_0710800 MENDIFEKSKNELERIYLNKHVVVHPIVLLSVVDHYNRIASNTKKRVLGTILGEKIDGVV HLTNSYALPFEEDIKDINIFFVDDNYNENLFNMIRKINTREKIVGWYTTGSNIKPNDIFI NEIFYKYHHAPIFLLVNVHTDQSIFPVNAYVAIEKAISDNKFRKTFIHIPVTIGAFEAED VGVEFLLKELKSVSTSTLATKVGDKLSSLKTLILKLHEISAYLNDILNGNIEMNVKILYN LQNVFSLLPDTENPELLESFMVKNNDIMLNVFIGSITRSVIALHNLINNKIENKINAEKK KKLDVSKDAEDDKEKDKEKEKSKKKN
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/PKNH_0710800.fa Sequence name : PKNH_0710800 Sequence length : 326 VALUES OF COMPUTED PARAMETERS Coef20 : 3.275 CoefTot : 0.000 ChDiff : -2 ZoneTo : 1 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.071 1.753 0.147 0.544 MesoH : -0.672 0.436 -0.446 0.261 MuHd_075 : 7.935 6.718 3.203 0.610 MuHd_095 : 39.038 22.628 10.375 8.024 MuHd_100 : 33.901 19.747 9.306 6.785 MuHd_105 : 27.321 15.744 7.809 5.056 Hmax_075 : -9.450 5.017 -3.088 2.077 Hmax_095 : 6.825 10.412 0.158 4.445 Hmax_100 : 4.400 10.000 0.045 4.440 Hmax_105 : -3.100 7.800 -2.011 3.440 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9623 0.0377 DFMC : 0.9737 0.0263
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 326 PKNH_0710800 MENDIFEKSKNELERIYLNKHVVVHPIVLLSVVDHYNRIASNTKKRVLGTILGEKIDGVVHLTNSYALPFEEDIKDINIF 80 FVDDNYNENLFNMIRKINTREKIVGWYTTGSNIKPNDIFINEIFYKYHHAPIFLLVNVHTDQSIFPVNAYVAIEKAISDN 160 KFRKTFIHIPVTIGAFEAEDVGVEFLLKELKSVSTSTLATKVGDKLSSLKTLILKLHEISAYLNDILNGNIEMNVKILYN 240 LQNVFSLLPDTENPELLESFMVKNNDIMLNVFIGSITRSVIALHNLINNKIENKINAEKKKKLDVSKDAEDDKEKDKEKE 320 KSKKKN 400 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ...... 400 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ PKNH_0710800 8 ENDIFEK|SK 0.080 . PKNH_0710800 10 DIFEKSK|NE 0.057 . PKNH_0710800 15 SKNELER|IY 0.107 . PKNH_0710800 20 ERIYLNK|HV 0.084 . PKNH_0710800 38 VVDHYNR|IA 0.081 . PKNH_0710800 44 RIASNTK|KR 0.055 . PKNH_0710800 45 IASNTKK|RV 0.151 . PKNH_0710800 46 ASNTKKR|VL 0.429 . PKNH_0710800 55 GTILGEK|ID 0.061 . PKNH_0710800 75 PFEEDIK|DI 0.066 . PKNH_0710800 95 NLFNMIR|KI 0.089 . PKNH_0710800 96 LFNMIRK|IN 0.084 . PKNH_0710800 100 IRKINTR|EK 0.105 . PKNH_0710800 102 KINTREK|IV 0.114 . PKNH_0710800 114 TTGSNIK|PN 0.068 . PKNH_0710800 126 INEIFYK|YH 0.072 . PKNH_0710800 155 AYVAIEK|AI 0.068 . PKNH_0710800 161 KAISDNK|FR 0.061 . PKNH_0710800 163 ISDNKFR|KT 0.114 . PKNH_0710800 164 SDNKFRK|TF 0.129 . PKNH_0710800 188 GVEFLLK|EL 0.058 . PKNH_0710800 191 FLLKELK|SV 0.101 . PKNH_0710800 201 TSTLATK|VG 0.057 . PKNH_0710800 205 ATKVGDK|LS 0.056 . PKNH_0710800 210 DKLSSLK|TL 0.061 . PKNH_0710800 215 LKTLILK|LH 0.056 . PKNH_0710800 236 NIEMNVK|IL 0.061 . PKNH_0710800 263 LESFMVK|NN 0.087 . PKNH_0710800 278 FIGSITR|SV 0.151 . PKNH_0710800 290 HNLINNK|IE 0.060 . PKNH_0710800 294 NNKIENK|IN 0.059 . PKNH_0710800 299 NKINAEK|KK 0.053 . PKNH_0710800 300 KINAEKK|KK 0.108 . PKNH_0710800 301 INAEKKK|KL 0.172 . PKNH_0710800 302 NAEKKKK|LD 0.080 . PKNH_0710800 307 KKLDVSK|DA 0.087 . PKNH_0710800 313 KDAEDDK|EK 0.067 . PKNH_0710800 315 AEDDKEK|DK 0.071 . PKNH_0710800 317 DDKEKDK|EK 0.067 . PKNH_0710800 319 KEKDKEK|EK 0.074 . PKNH_0710800 321 KDKEKEK|SK 0.082 . PKNH_0710800 323 KEKEKSK|KK 0.066 . PKNH_0710800 324 EKEKSKK|KN 0.114 . PKNH_0710800 325 KEKSKKK|N- 0.103 . ____________________________^_________________
  • Fasta :-

    >PKNH_0710800 ATGGAAAATGACATCTTCGAAAAAAGCAAAAATGAGTTAGAGAGAATCTATCTAAACAAA CATGTGGTGGTGCACCCCATAGTCCTCCTTTCAGTGGTGGACCATTACAACCGTATAGCA AGCAACACGAAGAAGAGAGTACTTGGCACAATTCTTGGAGAAAAAATAGACGGTGTTGTA CACCTCACAAATAGTTATGCCTTGCCATTTGAAGAGGACATCAAGGATATTAACATATTT TTTGTGGACGATAATTATAATGAAAATCTCTTCAACATGATACGGAAAATTAACACTAGA GAAAAAATTGTTGGGTGGTACACTACGGGTTCTAATATTAAGCCCAATGACATTTTCATT AATGAAATTTTCTACAAGTATCACCACGCACCCATTTTCCTTTTGGTAAATGTACACACA GATCAGAGCATCTTTCCTGTAAATGCTTATGTGGCTATTGAGAAGGCCATCTCTGATAAC AAATTTAGAAAAACTTTCATTCACATCCCCGTGACGATAGGAGCGTTCGAAGCTGAGGAT GTTGGAGTGGAGTTCCTTCTGAAAGAGCTGAAGAGTGTGTCGACTTCGACCCTGGCAACA AAAGTGGGAGACAAGCTATCCTCCCTGAAAACCCTCATTTTAAAGCTCCATGAAATTTCT GCCTACTTAAATGATATTCTAAATGGAAACATCGAAATGAACGTAAAAATTTTGTACAAT CTGCAAAACGTATTTAGTCTCCTTCCGGATACGGAGAACCCAGAACTTTTGGAATCCTTC ATGGTAAAAAATAACGACATCATGTTAAATGTATTCATTGGAAGCATTACCAGGTCAGTC ATTGCTTTGCACAATTTAATTAATAACAAAATTGAAAATAAAATAAACGCAGAGAAGAAG AAGAAACTGGACGTGTCCAAAGATGCAGAGGATGATAAAGAAAAGGACAAGGAGAAGGAA AAATCCAAGAAAAAAAATTAA
  • Download Fasta
  • Fasta :-

    MENDIFEKSKNELERIYLNKHVVVHPIVLLSVVDHYNRIASNTKKRVLGTILGEKIDGVV HLTNSYALPFEEDIKDINIFFVDDNYNENLFNMIRKINTREKIVGWYTTGSNIKPNDIFI NEIFYKYHHAPIFLLVNVHTDQSIFPVNAYVAIEKAISDNKFRKTFIHIPVTIGAFEAED VGVEFLLKELKSVSTSTLATKVGDKLSSLKTLILKLHEISAYLNDILNGNIEMNVKILYN LQNVFSLLPDTENPELLESFMVKNNDIMLNVFIGSITRSVIALHNLINNKIENKINAEKK KKLDVSKDAEDDKEKDKEKEKSKKKN

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethod
PKNH_0710800322 SEKEKSKKKN0.996unsp

PK9_1160w      PKH_071020      



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