• 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_217900SP0.0106960.9888620.000443CS pos: 18-19. TLA-QQ. Pr: 0.6604
No Results
  • Fasta :-

    >EDI_217900 MKGITIKVVLLFAIYTLAQQTVRPSITHSINYSEHLNGLQKIQKNNDKLENVNEIILNNS NDNDDDLFNLELPDEILWENFCKYFNKSYSTTAEVNYRKNIFMEQIKTYRYFNSLSYSNT TAVFGITILSDKSLSEIGCSNPKSLKNTSTIVPPPILPQIIDPPSSFSRCGKYALNNSDS MKTDDFCTDIYWSGCDGCYAFAAKEIAFISYKNQTLKNASINTNLYFDCSPEAKGCCGGD TEEILKSFPYVYFQNESSNSEQLQYLSCKHEKCLIQHPNGLVKNIIKFGSINKPEQFKSL LLVYGPFVSSIKLFNGIQGYKYGILDIEQCKNESIIASHTIVVVGYGIQNNSNYLIVKNW WNGWGEDEKGYMKISMDNSCGIGTQPEGKQPTNYIIQFYYCEGDSYCIDCDKETGKCLEC SYLSRLDKNGMCTRECPGDCLTCDKALEECFSCKNNAVLQDGKCVIKCPKYCKTCERETL ECTSCQPPYKLNGTECIYNCTDDCEICDSYNETCIKCKDKSELINGYCNVLCPVGCKTCD RESQRCYSCKRFYRLNKFSCVRTCKDKCIDCDSSNTFCELCEVGYTLLNGDCYSSACKKN CRFCNITTLNCVECFLPYFGYNGDCQINSFLSLVFLYTFITLSLLLNALL
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/EDI_217900.fa Sequence name : EDI_217900 Sequence length : 650 VALUES OF COMPUTED PARAMETERS Coef20 : 4.284 CoefTot : -0.607 ChDiff : -9 ZoneTo : 33 KR : 3 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.312 2.318 0.385 0.800 MesoH : 0.021 0.625 -0.086 0.280 MuHd_075 : 25.641 21.039 7.396 5.537 MuHd_095 : 29.216 27.265 9.878 7.540 MuHd_100 : 21.875 18.456 6.685 5.889 MuHd_105 : 20.977 12.917 5.675 5.205 Hmax_075 : 16.600 16.217 3.193 5.990 Hmax_095 : 13.912 15.050 3.133 5.092 Hmax_100 : 14.900 16.700 3.048 5.700 Hmax_105 : 14.583 15.867 2.690 5.565 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.6795 0.3205 DFMC : 0.6874 0.3126
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 650 EDI_217900 MKGITIKVVLLFAIYTLAQQTVRPSITHSINYSEHLNGLQKIQKNNDKLENVNEIILNNSNDNDDDLFNLELPDEILWEN 80 FCKYFNKSYSTTAEVNYRKNIFMEQIKTYRYFNSLSYSNTTAVFGITILSDKSLSEIGCSNPKSLKNTSTIVPPPILPQI 160 IDPPSSFSRCGKYALNNSDSMKTDDFCTDIYWSGCDGCYAFAAKEIAFISYKNQTLKNASINTNLYFDCSPEAKGCCGGD 240 TEEILKSFPYVYFQNESSNSEQLQYLSCKHEKCLIQHPNGLVKNIIKFGSINKPEQFKSLLLVYGPFVSSIKLFNGIQGY 320 KYGILDIEQCKNESIIASHTIVVVGYGIQNNSNYLIVKNWWNGWGEDEKGYMKISMDNSCGIGTQPEGKQPTNYIIQFYY 400 CEGDSYCIDCDKETGKCLECSYLSRLDKNGMCTRECPGDCLTCDKALEECFSCKNNAVLQDGKCVIKCPKYCKTCERETL 480 ECTSCQPPYKLNGTECIYNCTDDCEICDSYNETCIKCKDKSELINGYCNVLCPVGCKTCDRESQRCYSCKRFYRLNKFSC 560 VRTCKDKCIDCDSSNTFCELCEVGYTLLNGDCYSSACKKNCRFCNITTLNCVECFLPYFGYNGDCQINSFLSLVFLYTFI 640 TLSLLLNALL 720 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ................................................................................ 560 ................................................................................ 640 .......... 720 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ EDI_217900 2 -----MK|GI 0.076 . EDI_217900 7 MKGITIK|VV 0.062 . EDI_217900 23 LAQQTVR|PS 0.081 . EDI_217900 41 HLNGLQK|IQ 0.059 . EDI_217900 44 GLQKIQK|NN 0.073 . EDI_217900 48 IQKNNDK|LE 0.063 . EDI_217900 83 LWENFCK|YF 0.080 . EDI_217900 87 FCKYFNK|SY 0.089 . EDI_217900 98 TAEVNYR|KN 0.093 . EDI_217900 99 AEVNYRK|NI 0.080 . EDI_217900 107 IFMEQIK|TY 0.058 . EDI_217900 110 EQIKTYR|YF 0.081 . EDI_217900 132 ITILSDK|SL 0.096 . EDI_217900 143 IGCSNPK|SL 0.067 . EDI_217900 146 SNPKSLK|NT 0.072 . EDI_217900 169 PPSSFSR|CG 0.120 . EDI_217900 172 SFSRCGK|YA 0.228 . EDI_217900 182 NNSDSMK|TD 0.076 . EDI_217900 204 CYAFAAK|EI 0.061 . EDI_217900 212 IAFISYK|NQ 0.058 . EDI_217900 217 YKNQTLK|NA 0.079 . EDI_217900 234 DCSPEAK|GC 0.089 . EDI_217900 246 DTEEILK|SF 0.065 . EDI_217900 269 LQYLSCK|HE 0.064 . EDI_217900 272 LSCKHEK|CL 0.084 . EDI_217900 283 HPNGLVK|NI 0.079 . EDI_217900 287 LVKNIIK|FG 0.067 . EDI_217900 293 KFGSINK|PE 0.052 . EDI_217900 298 NKPEQFK|SL 0.074 . EDI_217900 312 PFVSSIK|LF 0.059 . EDI_217900 321 NGIQGYK|YG 0.058 . EDI_217900 331 LDIEQCK|NE 0.064 . EDI_217900 358 SNYLIVK|NW 0.065 . EDI_217900 369 GWGEDEK|GY 0.069 . EDI_217900 373 DEKGYMK|IS 0.058 . EDI_217900 389 GTQPEGK|QP 0.067 . EDI_217900 412 YCIDCDK|ET 0.074 . EDI_217900 416 CDKETGK|CL 0.068 . EDI_217900 425 ECSYLSR|LD 0.089 . EDI_217900 428 YLSRLDK|NG 0.132 . EDI_217900 434 KNGMCTR|EC 0.080 . EDI_217900 445 DCLTCDK|AL 0.065 . EDI_217900 454 EECFSCK|NN 0.068 . EDI_217900 463 AVLQDGK|CV 0.067 . EDI_217900 467 DGKCVIK|CP 0.059 . EDI_217900 470 CVIKCPK|YC 0.070 . EDI_217900 473 KCPKYCK|TC 0.061 . EDI_217900 477 YCKTCER|ET 0.082 . EDI_217900 490 SCQPPYK|LN 0.071 . EDI_217900 516 YNETCIK|CK 0.068 . EDI_217900 518 ETCIKCK|DK 0.085 . EDI_217900 520 CIKCKDK|SE 0.076 . EDI_217900 537 LCPVGCK|TC 0.056 . EDI_217900 541 GCKTCDR|ES 0.079 . EDI_217900 545 CDRESQR|CY 0.116 . EDI_217900 550 QRCYSCK|RF 0.073 . EDI_217900 551 RCYSCKR|FY 0.151 . EDI_217900 554 SCKRFYR|LN 0.215 . EDI_217900 557 RFYRLNK|FS 0.118 . EDI_217900 562 NKFSCVR|TC 0.074 . EDI_217900 565 SCVRTCK|DK 0.147 . EDI_217900 567 VRTCKDK|CI 0.068 . EDI_217900 598 CYSSACK|KN 0.059 . EDI_217900 599 YSSACKK|NC 0.102 . EDI_217900 602 ACKKNCR|FC 0.088 . ____________________________^_________________
  • Fasta :-

    >EDI_217900 ATGAAAGGAATAACAATAAAAGTAGTATTACTTTTTGCTATTTATACTCTTGCACAACAA ACAGTTCGTCCATCAATAACTCATTCAATAAATTACTCAGAACATTTAAATGGATTACAA AAAATACAAAAAAATAATGACAAATTAGAAAATGTTAATGAAATTATATTAAATAATAGT AATGATAATGATGATGACCTATTTAATTTAGAATTACCTGATGAAATACTATGGGAAAAT TTTTGTAAATATTTTAATAAAAGTTATTCAACCACAGCAGAAGTTAATTATAGAAAAAAT ATTTTTATGGAACAAATTAAAACATACAGATATTTTAATTCATTATCTTATTCTAATACG ACTGCTGTATTTGGTATTACTATACTAAGTGATAAAAGTCTTTCTGAAATTGGTTGTTCA AATCCAAAATCTTTAAAAAATACATCAACAATAGTCCCACCTCCAATTCTTCCTCAAATA ATTGATCCTCCTTCATCATTCTCAAGATGTGGAAAATATGCATTAAATAATTCTGATTCA ATGAAAACTGATGATTTTTGTACTGATATTTATTGGTCAGGTTGTGATGGTTGTTATGCA TTCGCAGCAAAAGAAATTGCGTTTATTTCTTATAAAAACCAAACATTAAAAAATGCATCA ATTAATACAAATTTATATTTTGATTGTTCACCAGAAGCTAAAGGATGTTGTGGAGGTGAT ACAGAAGAAATATTAAAAAGTTTTCCTTATGTATACTTTCAGAATGAAAGTTCTAATTCA GAACAATTACAATATCTTTCATGTAAACATGAAAAATGCCTTATTCAACATCCTAATGGA TTAGTAAAAAATATTATTAAGTTTGGTTCAATTAATAAACCAGAACAATTTAAATCATTA TTATTAGTATATGGTCCATTTGTTTCTTCTATAAAATTATTTAATGGAATTCAAGGATAT AAATATGGAATTTTAGATATAGAGCAATGTAAAAATGAATCAATTATTGCTTCTCATACT ATTGTTGTTGTTGGTTATGGAATTCAAAATAATTCTAATTATCTTATTGTAAAAAATTGG TGGAATGGTTGGGGAGAGGATGAAAAAGGTTATATGAAAATTTCAATGGATAATTCTTGT GGAATTGGAACTCAACCAGAAGGAAAACAACCAACAAATTATATTATTCAATTTTATTAT TGTGAAGGAGATTCTTATTGTATTGATTGTGATAAAGAAACAGGTAAATGTCTTGAATGT AGTTATTTATCTAGATTAGACAAAAATGGAATGTGTACAAGAGAATGTCCTGGTGATTGT TTAACTTGTGATAAAGCTCTTGAAGAATGTTTTTCTTGTAAAAATAATGCAGTATTACAA GATGGTAAATGTGTAATAAAATGTCCAAAATATTGTAAAACTTGTGAACGAGAAACTCTT GAATGTACTTCATGTCAACCTCCATATAAATTAAATGGGACTGAATGTATATATAATTGT ACTGATGATTGTGAGATTTGTGATTCATATAATGAAACTTGTATTAAATGTAAAGATAAA TCTGAACTTATTAATGGATATTGTAATGTATTATGTCCTGTTGGATGTAAAACATGTGAT AGAGAATCACAACGATGTTATTCATGTAAAAGATTCTATCGACTAAATAAATTTTCTTGT GTAAGAACTTGTAAAGATAAATGTATTGATTGTGATAGTTCAAATACTTTTTGTGAATTA TGTGAAGTTGGTTATACTCTATTAAATGGAGATTGTTATTCATCAGCGTGTAAAAAAAAT TGTCGTTTTTGTAATATCACAACTCTAAATTGTGTTGAATGTTTTCTTCCTTATTTTGGT TATAATGGAGATTGTCAAATCAATTCATTTTTATCACTAGTATTTCTTTATACATTTATA ACATTATCATTATTATTAAATGCATTATTATAA
  • Download Fasta
  • Fasta :-

    MKGITIKVVLLFAIYTLAQQTVRPSITHSINYSEHLNGLQKIQKNNDKLENVNEIILNNS NDNDDDLFNLELPDEILWENFCKYFNKSYSTTAEVNYRKNIFMEQIKTYRYFNSLSYSNT TAVFGITILSDKSLSEIGCSNPKSLKNTSTIVPPPILPQIIDPPSSFSRCGKYALNNSDS MKTDDFCTDIYWSGCDGCYAFAAKEIAFISYKNQTLKNASINTNLYFDCSPEAKGCCGGD TEEILKSFPYVYFQNESSNSEQLQYLSCKHEKCLIQHPNGLVKNIIKFGSINKPEQFKSL LLVYGPFVSSIKLFNGIQGYKYGILDIEQCKNESIIASHTIVVVGYGIQNNSNYLIVKNW WNGWGEDEKGYMKISMDNSCGIGTQPEGKQPTNYIIQFYYCEGDSYCIDCDKETGKCLEC SYLSRLDKNGMCTRECPGDCLTCDKALEECFSCKNNAVLQDGKCVIKCPKYCKTCERETL ECTSCQPPYKLNGTECIYNCTDDCEICDSYNETCIKCKDKSELINGYCNVLCPVGCKTCD RESQRCYSCKRFYRLNKFSCVRTCKDKCIDCDSSNTFCELCEVGYTLLNGDCYSSACKKN CRFCNITTLNCVECFLPYFGYNGDCQINSFLSLVFLYTFITLSLLLNALL

    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
EDI_217900548 SQRCYSCKRF0.99unspEDI_217900548 SQRCYSCKRF0.99unspEDI_217900548 SQRCYSCKRF0.99unspEDI_217900133 SLSDKSLSEI0.991unspEDI_217900543 SCDRESQRCY0.996unsp

EDI_217900      



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