TA07090 | hypothetical protein, conserved

  • 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
TA07090OTHER0.9999850.0000060.000010
No Results

  • Fasta :-

    >TA07090 MKDLKYFNTFLDYYNKLINKFKSNNNNIEACTIIDENYTNITTPKGATNIPGKGAKYTLS RPRERELNDTFGTPGKGANSMPMECTSEKNPNKIAAVTNTGESSTFSEDTNEDTVEICKT PSGDKESHFGFGEEVDVELDTVTEEFLELKIRNKEIKKLNEILENYHKKDEKLIKKLKKL KCSNKEYDYFPKLGEQDHDLWDLKTITYDIDINYIHILFFNHYNLNENYEISDRVDGIEN GIRRVDGIGNGIYGIGNGIYGNGNGIDGIGRYNIMKIEKMIMKSIENINEMEEILIDKFG IEITKTNINCLFNNNWINDEIINFYLQLLQNHNRVNGINSSVTVTGPPNSNGPDSNTSKD SKDSTIGATTECTMGKGANFTAMECTMGKGANFTAMECTMGKGANFTAMECTMGKGANFM GIECTNERELILWGANSMGMDCTNSTKDGTIPAGPFGTRFESQYLNTSNTMNTTKANTKE SPLGAKESPSGVGKVPFGGGCWTKHHVILDCYNYNTFFYERLSVGEMSYDYMSVKRWTRR KKINIFEKDLLFIPINVSKIHWALGVVDMRKKWRRIMLFDSLGGSNPHFFKTIKKYLQDE YKEIFNNTININEWKIRNGYYSEPYAPIQQNTYDCGLFLCQYAKCITFGNKFNFINFNSK FLRNLMIYEILTNNIILIYSIHNLYYTKNFPNIRKYKFIDTNSNGMSIIEENSTTKIAAP KVVTGPRGTRFESQSFTTTSNTGISSTKDSSTTEPGTVTEENLSTQIAAVTNFGESSTNT VIVLLITNSTKDIKDTTTNGTEEPDTVTEKNTIEFAAVIVAPNLVTINTP
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/TA07090.fa Sequence name : TA07090 Sequence length : 830 VALUES OF COMPUTED PARAMETERS Coef20 : 3.426 CoefTot : -0.113 ChDiff : -9 ZoneTo : 2 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 0.876 1.512 0.065 0.608 MesoH : -0.241 0.131 -0.318 0.198 MuHd_075 : 17.853 4.486 5.159 2.255 MuHd_095 : 20.580 14.581 6.950 5.909 MuHd_100 : 33.466 23.814 10.606 8.620 MuHd_105 : 42.475 28.957 12.327 9.889 Hmax_075 : 1.517 6.067 -1.457 2.812 Hmax_095 : -0.087 6.600 -1.939 3.480 Hmax_100 : 6.200 12.900 0.382 5.360 Hmax_105 : 18.200 20.200 3.308 7.360 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9753 0.0247 DFMC : 0.9856 0.0144
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 830 TA07090 MKDLKYFNTFLDYYNKLINKFKSNNNNIEACTIIDENYTNITTPKGATNIPGKGAKYTLSRPRERELNDTFGTPGKGANS 80 MPMECTSEKNPNKIAAVTNTGESSTFSEDTNEDTVEICKTPSGDKESHFGFGEEVDVELDTVTEEFLELKIRNKEIKKLN 160 EILENYHKKDEKLIKKLKKLKCSNKEYDYFPKLGEQDHDLWDLKTITYDIDINYIHILFFNHYNLNENYEISDRVDGIEN 240 GIRRVDGIGNGIYGIGNGIYGNGNGIDGIGRYNIMKIEKMIMKSIENINEMEEILIDKFGIEITKTNINCLFNNNWINDE 320 IINFYLQLLQNHNRVNGINSSVTVTGPPNSNGPDSNTSKDSKDSTIGATTECTMGKGANFTAMECTMGKGANFTAMECTM 400 GKGANFTAMECTMGKGANFMGIECTNERELILWGANSMGMDCTNSTKDGTIPAGPFGTRFESQYLNTSNTMNTTKANTKE 480 SPLGAKESPSGVGKVPFGGGCWTKHHVILDCYNYNTFFYERLSVGEMSYDYMSVKRWTRRKKINIFEKDLLFIPINVSKI 560 HWALGVVDMRKKWRRIMLFDSLGGSNPHFFKTIKKYLQDEYKEIFNNTININEWKIRNGYYSEPYAPIQQNTYDCGLFLC 640 QYAKCITFGNKFNFINFNSKFLRNLMIYEILTNNIILIYSIHNLYYTKNFPNIRKYKFIDTNSNGMSIIEENSTTKIAAP 720 KVVTGPRGTRFESQSFTTTSNTGISSTKDSSTTEPGTVTEENLSTQIAAVTNFGESSTNTVIVLLITNSTKDIKDTTTNG 800 TEEPDTVTEKNTIEFAAVIVAPNLVTINTP 880 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ................................................................................ 560 ................................................................................ 640 ................................................................................ 720 ................................................................................ 800 .............................. 880 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ TA07090 2 -----MK|DL 0.071 . TA07090 5 --MKDLK|YF 0.068 . TA07090 16 FLDYYNK|LI 0.057 . TA07090 20 YNKLINK|FK 0.065 . TA07090 22 KLINKFK|SN 0.094 . TA07090 45 TNITTPK|GA 0.088 . TA07090 53 ATNIPGK|GA 0.076 . TA07090 56 IPGKGAK|YT 0.068 . TA07090 61 AKYTLSR|PR 0.103 . TA07090 63 YTLSRPR|ER 0.073 . TA07090 65 LSRPRER|EL 0.123 . TA07090 76 TFGTPGK|GA 0.075 . TA07090 89 MECTSEK|NP 0.061 . TA07090 93 SEKNPNK|IA 0.073 . TA07090 119 DTVEICK|TP 0.057 . TA07090 125 KTPSGDK|ES 0.057 . TA07090 150 EEFLELK|IR 0.057 . TA07090 152 FLELKIR|NK 0.089 . TA07090 154 ELKIRNK|EI 0.062 . TA07090 157 IRNKEIK|KL 0.096 . TA07090 158 RNKEIKK|LN 0.099 . TA07090 168 ILENYHK|KD 0.059 . TA07090 169 LENYHKK|DE 0.133 . TA07090 172 YHKKDEK|LI 0.061 . TA07090 175 KDEKLIK|KL 0.065 . TA07090 176 DEKLIKK|LK 0.067 . TA07090 178 KLIKKLK|KL 0.063 . TA07090 179 LIKKLKK|LK 0.089 . TA07090 181 KKLKKLK|CS 0.071 . TA07090 185 KLKCSNK|EY 0.065 . TA07090 192 EYDYFPK|LG 0.062 . TA07090 204 HDLWDLK|TI 0.059 . TA07090 234 NYEISDR|VD 0.077 . TA07090 243 GIENGIR|RV 0.138 . TA07090 244 IENGIRR|VD 0.170 . TA07090 271 GIDGIGR|YN 0.090 . TA07090 276 GRYNIMK|IE 0.071 . TA07090 279 NIMKIEK|MI 0.076 . TA07090 283 IEKMIMK|SI 0.112 . TA07090 298 EEILIDK|FG 0.064 . TA07090 305 FGIEITK|TN 0.060 . TA07090 334 LLQNHNR|VN 0.095 . TA07090 359 PDSNTSK|DS 0.085 . TA07090 362 NTSKDSK|DS 0.097 . TA07090 376 TECTMGK|GA 0.072 . TA07090 389 MECTMGK|GA 0.066 . TA07090 402 MECTMGK|GA 0.066 . TA07090 415 MECTMGK|GA 0.069 . TA07090 428 IECTNER|EL 0.076 . TA07090 447 DCTNSTK|DG 0.060 . TA07090 459 AGPFGTR|FE 0.125 . TA07090 475 NTMNTTK|AN 0.067 . TA07090 479 TTKANTK|ES 0.060 . TA07090 486 ESPLGAK|ES 0.059 . TA07090 494 SPSGVGK|VP 0.086 . TA07090 504 GGGCWTK|HH 0.060 . TA07090 521 NTFFYER|LS 0.069 . TA07090 535 YDYMSVK|RW 0.059 . TA07090 536 DYMSVKR|WT 0.167 . TA07090 539 SVKRWTR|RK 0.181 . TA07090 540 VKRWTRR|KK 0.150 . TA07090 541 KRWTRRK|KI 0.114 . TA07090 542 RWTRRKK|IN 0.242 . TA07090 548 KINIFEK|DL 0.076 . TA07090 559 IPINVSK|IH 0.068 . TA07090 570 LGVVDMR|KK 0.079 . TA07090 571 GVVDMRK|KW 0.078 . TA07090 572 VVDMRKK|WR 0.087 . TA07090 574 DMRKKWR|RI 0.090 . TA07090 575 MRKKWRR|IM 0.121 . TA07090 591 SNPHFFK|TI 0.081 . TA07090 594 HFFKTIK|KY 0.062 . TA07090 595 FFKTIKK|YL 0.118 . TA07090 602 YLQDEYK|EI 0.068 . TA07090 615 ININEWK|IR 0.061 . TA07090 617 INEWKIR|NG 0.111 . TA07090 644 FLCQYAK|CI 0.067 . TA07090 651 CITFGNK|FN 0.067 . TA07090 660 FINFNSK|FL 0.068 . TA07090 663 FNSKFLR|NL 0.136 . TA07090 688 HNLYYTK|NF 0.059 . TA07090 694 KNFPNIR|KY 0.079 . TA07090 695 NFPNIRK|YK 0.078 . TA07090 697 PNIRKYK|FI 0.305 . TA07090 716 EENSTTK|IA 0.074 . TA07090 721 TKIAAPK|VV 0.085 . TA07090 727 KVVTGPR|GT 0.088 . TA07090 730 TGPRGTR|FE 0.339 . TA07090 748 TGISSTK|DS 0.104 . TA07090 791 LITNSTK|DI 0.073 . TA07090 794 NSTKDIK|DT 0.079 . TA07090 810 PDTVTEK|NT 0.059 . ____________________________^_________________

  • Fasta :-

    >TA07090 ATGAAAGATTTAAAATATTTTAATACATTTTTGGATTATTATAATAAATTAATTAATAAA TTCAAATCCAATAATAATAATATTGAAGCATGTACTATAATTGATGAAAATTATACTAAT ATTACTACTCCTAAGGGAGCTACTAATATCCCTGGAAAGGGAGCTAAATATACACTAAGT AGACCCCGGGAAAGGGAGCTAAATGACACTTTTGGTACTCCTGGAAAGGGAGCTAATTCT ATGCCTATGGAGTGTACTAGTGAGAAAAATCCTAATAAAATTGCTGCTGTAACTAATACT GGGGAGTCGAGTACTTTTTCTGAGGATACTAATGAAGATACTGTAGAGATATGTAAGACC CCTTCGGGGGATAAGGAATCCCATTTCGGGTTTGGTGAGGAAGTTGATGTAGAACTAGAC ACCGTAACGGAAGAATTTTTAGAATTAAAAATAAGAAATAAAGAAATTAAGAAATTAAAT GAAATATTGGAAAATTATCATAAAAAAGATGAAAAGTTAATAAAGAAATTAAAGAAATTA AAATGTTCAAATAAAGAATATGATTATTTTCCTAAATTAGGTGAACAAGATCATGATCTA TGGGATCTTAAAACTATAACATATGATATTGATATTAATTATATACATATACTTTTTTTT AATCATTATAATTTAAATGAAAATTATGAAATTTCTGATCGAGTCGATGGGATTGAGAAT GGAATTAGACGAGTCGATGGGATTGGGAATGGAATCTATGGAATTGGGAATGGAATCTAT GGAAATGGAAATGGTATCGATGGAATTGGAAGATATAATATAATGAAAATAGAAAAAATG ATAATGAAGAGTATAGAAAATATAAATGAAATGGAAGAAATATTAATAGATAAATTTGGT ATAGAAATAACCAAAACAAATATCAATTGTCTATTCAATAATAATTGGATTAATGATGAA ATCATCAATTTCTATCTACAATTATTACAAAATCATAATCGAGTTAATGGTATTAATTCT TCCGTAACGGTGACTGGCCCACCAAACAGTAATGGTCCTGATAGTAATACCAGTAAGGAT AGTAAGGATAGTACCATAGGAGCAACCACCGAGTGTACCATGGGAAAGGGAGCTAATTTT ACAGCCATGGAGTGTACTATGGGAAAGGGAGCTAATTTTACAGCCATGGAGTGTACTATG GGAAAGGGAGCTAATTTTACAGCCATGGAGTGTACTATGGGAAAGGGAGCTAATTTTATG GGTATAGAGTGTACTAATGAAAGGGAGCTAATTTTATGGGGAGCTAATTCTATGGGTATG GATTGTACTAATAGTACTAAGGATGGTACTATACCTGCTGGACCCTTTGGTACTAGGTTC GAATCCCAGTACCTCAACACTAGTAATACTATGAATACTACTAAGGCTAATACTAAGGAA AGCCCTTTGGGGGCTAAGGAAAGCCCTTCGGGGGTAGGGAAAGTCCCTTTTGGGGGTGGC TGTTGGACCAAGCATCATGTAATATTGGATTGTTATAATTATAATACTTTTTTTTATGAG CGTTTATCAGTTGGTGAGATGAGTTATGACTATATGAGTGTGAAACGTTGGACAAGAAGA AAGAAGATAAATATATTTGAAAAGGATTTATTATTTATACCAATAAATGTATCGAAAATA CATTGGGCATTAGGTGTAGTAGATATGCGTAAAAAATGGCGTAGAATAATGTTATTTGAT TCATTAGGTGGTAGTAATCCACATTTCTTTAAAACTATCAAAAAATATCTACAAGATGAA TATAAAGAAATTTTTAATAATACAATTAATATAAATGAATGGAAAATTAGAAATGGATAT TATTCCGAACCATATGCTCCTATACAACAAAATACATATGATTGTGGATTATTCTTATGT CAATATGCTAAATGTATTACATTTGGTAATAAATTCAATTTCATTAATTTCAATTCCAAA TTTCTAAGAAATCTTATGATTTATGAAATTTTAACTAATAATATTATACTCATTTATTCT ATACACAATTTATACTACACAAAAAATTTTCCAAATATAAGAAAATATAAATTTATTGAT ACTAATAGTAATGGTATGAGTATTATTGAGGAAAATTCTACTACTAAAATTGCTGCACCT AAAGTTGTTACTGGACCTAGAGGTACTAGGTTCGAATCCCAGTCCTTCACTACTACTAGT AATACTGGTATTAGTAGTACTAAGGATAGTAGTACCACTGAACCAGGCACCGTTACTGAG GAAAATTTGTCTACACAAATTGCTGCTGTAACTAATTTTGGGGAGTCGAGTACTAATACA GTTATAGTACTACTAATTACTAATAGTACTAAGGATATTAAGGATACTACTACTAATGGT ACTGAAGAACCTGACACCGTAACTGAGAAAAATACTATAGAATTTGCTGCTGTTATTGTT GCACCTAATCTAGTTACTATTAATACTCCTTAA
  • Download Fasta

  • Fasta :-

    MKDLKYFNTFLDYYNKLINKFKSNNNNIEACTIIDENYTNITTPKGATNIPGKGAKYTLS RPRERELNDTFGTPGKGANSMPMECTSEKNPNKIAAVTNTGESSTFSEDTNEDTVEICKT PSGDKESHFGFGEEVDVELDTVTEEFLELKIRNKEIKKLNEILENYHKKDEKLIKKLKKL KCSNKEYDYFPKLGEQDHDLWDLKTITYDIDINYIHILFFNHYNLNENYEISDRVDGIEN GIRRVDGIGNGIYGIGNGIYGNGNGIDGIGRYNIMKIEKMIMKSIENINEMEEILIDKFG IEITKTNINCLFNNNWINDEIINFYLQLLQNHNRVNGINSSVTVTGPPNSNGPDSNTSKD SKDSTIGATTECTMGKGANFTAMECTMGKGANFTAMECTMGKGANFTAMECTMGKGANFM GIECTNERELILWGANSMGMDCTNSTKDGTIPAGPFGTRFESQYLNTSNTMNTTKANTKE SPLGAKESPSGVGKVPFGGGCWTKHHVILDCYNYNTFFYERLSVGEMSYDYMSVKRWTRR KKINIFEKDLLFIPINVSKIHWALGVVDMRKKWRRIMLFDSLGGSNPHFFKTIKKYLQDE YKEIFNNTININEWKIRNGYYSEPYAPIQQNTYDCGLFLCQYAKCITFGNKFNFINFNSK FLRNLMIYEILTNNIILIYSIHNLYYTKNFPNIRKYKFIDTNSNGMSIIEENSTTKIAAP KVVTGPRGTRFESQSFTTTSNTGISSTKDSSTTEPGTVTEENLSTQIAAVTNFGESSTNT VIVLLITNSTKDIKDTTTNGTEEPDTVTEKNTIEFAAVIVAPNLVTINTP

    No Results
IDSitePositionGscoreIscore
TA07090T3570.5440.025
IDSitePositionGscoreIscore
TA07090T3570.5440.025
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
TA07090523 SYERLSVGEM0.997unspTA07090523 SYERLSVGEM0.997unspTA07090523 SYERLSVGEM0.997unspTA07090533 SYDYMSVKRW0.995unspTA07090746 STGISSTKDS0.996unspTA07090751 STKDSSTTEP0.996unspTA07090183 SKLKCSNKEY0.993unspTA07090445 SDCTNSTKDG0.997unsp

TA07090      



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