Chro.50142 | proteasome (prosome, macropain) 26S subunit, non-ATPase, 9

  • 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
Chro.50142OTHER0.9999680.0000100.000022
No Results

  • Fasta :-

    >Chro.50142 MEELAKRKDEIEKEVSELTEFLNSCGPDVGISGKLVDSEGFPRSDIDIYAVRRARNRIAV LNTDYSSVMKEIEEKLFDIHSKEKTYVQINKSEKSQRCNASECLNYPFGYVNSVLEGSPA FQSGIRTGDLLLEFGSLKSESELHSQEESKHLIGQLPEIVRDNLDKSIKVTLLRSNSKQP EELLSEFSTFIDNSNLSYKDLNLLEFEKKSIELVPKKWQGKGYLGCNIAFIHKFVEK
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/305 Sequence name : 305 Sequence length : 237 VALUES OF COMPUTED PARAMETERS Coef20 : 3.135 CoefTot : 0.000 ChDiff : -7 ZoneTo : 1 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.224 0.418 -0.182 0.319 MesoH : -1.323 -0.221 -0.586 0.064 MuHd_075 : 36.366 19.242 9.944 6.488 MuHd_095 : 36.548 21.902 10.722 5.369 MuHd_100 : 45.447 29.214 12.686 7.863 MuHd_105 : 42.381 29.262 11.516 8.430 Hmax_075 : -7.350 5.833 -3.900 1.773 Hmax_095 : -4.500 6.200 -3.106 1.820 Hmax_100 : -2.300 10.800 -2.364 3.100 Hmax_105 : -12.775 5.512 -4.474 0.525 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.7802 0.2198 DFMC : 0.7490 0.2510
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 237 Chro.50142 MEELAKRKDEIEKEVSELTEFLNSCGPDVGISGKLVDSEGFPRSDIDIYAVRRARNRIAVLNTDYSSVMKEIEEKLFDIH 80 SKEKTYVQINKSEKSQRCNASECLNYPFGYVNSVLEGSPAFQSGIRTGDLLLEFGSLKSESELHSQEESKHLIGQLPEIV 160 RDNLDKSIKVTLLRSNSKQPEELLSEFSTFIDNSNLSYKDLNLLEFEKKSIELVPKKWQGKGYLGCNIAFIHKFVEK 240 ................................................................................ 80 ................................................................................ 160 ............................................................................. 240 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ Chro.50142 6 -MEELAK|RK 0.068 . Chro.50142 7 MEELAKR|KD 0.133 . Chro.50142 8 EELAKRK|DE 0.104 . Chro.50142 13 RKDEIEK|EV 0.078 . Chro.50142 34 DVGISGK|LV 0.079 . Chro.50142 43 DSEGFPR|SD 0.125 . Chro.50142 52 IDIYAVR|RA 0.081 . Chro.50142 53 DIYAVRR|AR 0.098 . Chro.50142 55 YAVRRAR|NR 0.269 . Chro.50142 57 VRRARNR|IA 0.098 . Chro.50142 70 DYSSVMK|EI 0.087 . Chro.50142 75 MKEIEEK|LF 0.061 . Chro.50142 82 LFDIHSK|EK 0.067 . Chro.50142 84 DIHSKEK|TY 0.068 . Chro.50142 91 TYVQINK|SE 0.079 . Chro.50142 94 QINKSEK|SQ 0.078 . Chro.50142 97 KSEKSQR|CN 0.092 . Chro.50142 126 AFQSGIR|TG 0.069 . Chro.50142 138 LEFGSLK|SE 0.075 . Chro.50142 150 HSQEESK|HL 0.089 . Chro.50142 161 QLPEIVR|DN 0.076 . Chro.50142 166 VRDNLDK|SI 0.088 . Chro.50142 169 NLDKSIK|VT 0.053 . Chro.50142 174 IKVTLLR|SN 0.155 . Chro.50142 178 LLRSNSK|QP 0.068 . Chro.50142 199 NSNLSYK|DL 0.085 . Chro.50142 208 NLLEFEK|KS 0.056 . Chro.50142 209 LLEFEKK|SI 0.159 . Chro.50142 216 SIELVPK|KW 0.069 . Chro.50142 217 IELVPKK|WQ 0.120 . Chro.50142 221 PKKWQGK|GY 0.069 . Chro.50142 233 NIAFIHK|FV 0.100 . Chro.50142 237 IHKFVEK|-- 0.071 . ____________________________^_________________

  • Fasta :-

    >Chro.50142 ATGGAAGAATTAGCAAAGAGAAAAGATGAAATAGAGAAGGAGGTAAGTGAATTAACGGAG TTCTTGAATTCATGTGGTCCAGATGTTGGTATTTCTGGAAAGCTTGTAGATAGTGAGGGG TTTCCAAGGTCAGATATAGATATATATGCAGTAAGAAGAGCAAGAAATAGGATTGCAGTA TTAAATACTGATTATTCGAGTGTGATGAAAGAAATTGAAGAAAAACTGTTTGATATTCAC AGCAAAGAGAAGACTTATGTTCAAATTAATAAGTCAGAAAAAAGCCAAAGATGCAATGCT TCAGAATGTCTAAATTATCCATTTGGATATGTAAATAGTGTTTTGGAGGGATCACCAGCA TTTCAAAGTGGTATAAGGACAGGAGATTTATTATTGGAATTTGGAAGTCTTAAATCAGAA TCTGAGTTACATTCACAAGAAGAATCAAAACATCTGATAGGTCAATTGCCGGAGATTGTA CGAGATAATTTAGATAAATCAATCAAAGTTACTCTATTAAGAAGCAATAGCAAACAACCT GAGGAACTTCTTTCCGAGTTTTCAACATTTATAGATAATTCTAACTTAAGCTATAAAGAC CTAAATTTACTTGAATTCGAGAAAAAGAGTATCGAACTGGTTCCCAAAAAATGGCAAGGA AAAGGTTATTTGGGATGTAATATAGCATTCATACACAAGTTTGTAGAAAAATAG
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  • Fasta :-

    MEELAKRKDEIEKEVSELTEFLNSCGPDVGISGKLVDSEGFPRSDIDIYAVRRARNRIAV LNTDYSSVMKEIEEKLFDIHSKEKTYVQINKSEKSQRCNASECLNYPFGYVNSVLEGSPA FQSGIRTGDLLLEFGSLKSESELHSQEESKHLIGQLPEIVRDNLDKSIKVTLLRSNSKQP EELLSEFSTFIDNSNLSYKDLNLLEFEKKSIELVPKKWQGKGYLGCNIAFIHKFVEK

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
Chro.50142167 SNLDKSIKVT0.992unspChro.50142167 SNLDKSIKVT0.992unspChro.50142167 SNLDKSIKVT0.992unspChro.50142197 SNSNLSYKDL0.997unspChro.5014292 SQINKSEKSQ0.992unspChro.50142145 SSELHSQEES0.998unsp

Chro.50142      



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