• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:        

  • Computed_GO_Functions:        

  • 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
TGME49_246020OTHER0.9999980.0000020.000000
No Results
  • Fasta :-

    >TGME49_246020 MEAAGESFSRDKNVRRLGVEGEPLRPAKVFEAEGFNAANRLPQRSVPSGLEVLELETEAR QDAEAADPDSDVEVVAVVKRRRLGADSPVESVRALFKGDTSRNPRASGSLSSSSARAMAV DGSEVFSLDSPPLSPRMPTEGNTTRYETTTEESLPVLSSFSSSSSSSSSSFSSSSSSSSS SSSSSFSSPSSSSPSLPLVEVPRPRRVSVHGQDELIAPDLHALFAYYNDAFFEGKLCGVE VRWSKRMTLCAGLCVYQTGGYCSVRLSEPLLKFRSVKEFRETLLHEMIHAFLFVTKCNRD HDAHGPDFLAHMRRLNALTGLNITVYHNFHDEVAHYRTHIWRCQGKCRETPPYFGYVRRS MNRAPGPYDRWWAEHQESCGGMYVKISEPKKVTPNRAASSRQEREKKAKAQKIEKKEKRE KTEQRTEGTRSGGALMFWKLGGESAAKAEADGKSNVRCLDTPQAAAQHRHRNRYSTLADV LHRNRVERILKLNAHHDSEKLSSSGPGPLPFSSASSSSTSSSVSSAEMSSSSSFSSRSSS SSSFSSTSSPSSPPSSSSSSSCSSSSSCSPSCFSFSPSSSASSSVDAPPGDDDAVQLLAV RPSFSLSALPSPPASRVSVSPSRRHRGASRGADAPGRGSDELPLNGKERTTRRTDGLAAA FVEEGDSGVLFISSTHARLTRSLTSSGGPHSFPQKGLKDDEVSTQNPTHEKRSSPSDGAS LSRPSSSSSPSSSPSSLPSSSFSSSSGLLSSSSSPSAPSSLPSSSASPSHPSPRGGTDDG LRGVTETAVSRELDVFSCRFCKGLFADSRTLRRHIQCCLRDPSRVRGRTDLAALPRDAG
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/TGME49_246020.fa Sequence name : TGME49_246020 Sequence length : 839 VALUES OF COMPUTED PARAMETERS Coef20 : 3.891 CoefTot : 0.000 ChDiff : 15 ZoneTo : 1 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.212 1.118 0.352 0.526 MesoH : 0.645 0.247 -0.055 0.146 MuHd_075 : 47.825 20.572 11.384 8.919 MuHd_095 : 4.415 2.170 1.485 0.832 MuHd_100 : 18.413 12.593 5.985 3.923 MuHd_105 : 31.484 19.915 8.641 6.706 Hmax_075 : 6.500 5.900 -0.265 3.060 Hmax_095 : -10.800 -1.400 -3.756 -0.660 Hmax_100 : -11.200 0.600 -3.400 -0.120 Hmax_105 : 3.700 7.350 -0.515 2.960 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9080 0.0920 DFMC : 0.9263 0.0737
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 839 TGME49_246020 MEAAGESFSRDKNVRRLGVEGEPLRPAKVFEAEGFNAANRLPQRSVPSGLEVLELETEARQDAEAADPDSDVEVVAVVKR 80 RRLGADSPVESVRALFKGDTSRNPRASGSLSSSSARAMAVDGSEVFSLDSPPLSPRMPTEGNTTRYETTTEESLPVLSSF 160 SSSSSSSSSSFSSSSSSSSSSSSSSFSSPSSSSPSLPLVEVPRPRRVSVHGQDELIAPDLHALFAYYNDAFFEGKLCGVE 240 VRWSKRMTLCAGLCVYQTGGYCSVRLSEPLLKFRSVKEFRETLLHEMIHAFLFVTKCNRDHDAHGPDFLAHMRRLNALTG 320 LNITVYHNFHDEVAHYRTHIWRCQGKCRETPPYFGYVRRSMNRAPGPYDRWWAEHQESCGGMYVKISEPKKVTPNRAASS 400 RQEREKKAKAQKIEKKEKREKTEQRTEGTRSGGALMFWKLGGESAAKAEADGKSNVRCLDTPQAAAQHRHRNRYSTLADV 480 LHRNRVERILKLNAHHDSEKLSSSGPGPLPFSSASSSSTSSSVSSAEMSSSSSFSSRSSSSSSFSSTSSPSSPPSSSSSS 560 SCSSSSSCSPSCFSFSPSSSASSSVDAPPGDDDAVQLLAVRPSFSLSALPSPPASRVSVSPSRRHRGASRGADAPGRGSD 640 ELPLNGKERTTRRTDGLAAAFVEEGDSGVLFISSTHARLTRSLTSSGGPHSFPQKGLKDDEVSTQNPTHEKRSSPSDGAS 720 LSRPSSSSSPSSSPSSLPSSSFSSSSGLLSSSSSPSAPSSLPSSSASPSHPSPRGGTDDGLRGVTETAVSRELDVFSCRF 800 CKGLFADSRTLRRHIQCCLRDPSRVRGRTDLAALPRDAG 880 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ................................................................................ 560 .................................................................P.............. 640 ........................................P....................................... 720 ................................................................................ 800 ....................................... 880 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 2 Name Pos Context Score Pred ____________________________v_________________ TGME49_246020 10 AGESFSR|DK 0.100 . TGME49_246020 12 ESFSRDK|NV 0.074 . TGME49_246020 15 SRDKNVR|RL 0.120 . TGME49_246020 16 RDKNVRR|LG 0.146 . TGME49_246020 25 VEGEPLR|PA 0.084 . TGME49_246020 28 EPLRPAK|VF 0.193 . TGME49_246020 40 GFNAANR|LP 0.086 . TGME49_246020 44 ANRLPQR|SV 0.223 . TGME49_246020 60 ELETEAR|QD 0.080 . TGME49_246020 79 EVVAVVK|RR 0.054 . TGME49_246020 80 VVAVVKR|RR 0.118 . TGME49_246020 81 VAVVKRR|RL 0.174 . TGME49_246020 82 AVVKRRR|LG 0.109 . TGME49_246020 93 SPVESVR|AL 0.143 . TGME49_246020 97 SVRALFK|GD 0.062 . TGME49_246020 102 FKGDTSR|NP 0.099 . TGME49_246020 105 DTSRNPR|AS 0.337 . TGME49_246020 116 LSSSSAR|AM 0.118 . TGME49_246020 136 SPPLSPR|MP 0.112 . TGME49_246020 145 TEGNTTR|YE 0.115 . TGME49_246020 203 PLVEVPR|PR 0.092 . TGME49_246020 205 VEVPRPR|RV 0.138 . TGME49_246020 206 EVPRPRR|VS 0.397 . TGME49_246020 235 DAFFEGK|LC 0.074 . TGME49_246020 242 LCGVEVR|WS 0.085 . TGME49_246020 245 VEVRWSK|RM 0.077 . TGME49_246020 246 EVRWSKR|MT 0.214 . TGME49_246020 265 GGYCSVR|LS 0.095 . TGME49_246020 272 LSEPLLK|FR 0.076 . TGME49_246020 274 EPLLKFR|SV 0.209 . TGME49_246020 277 LKFRSVK|EF 0.150 . TGME49_246020 280 RSVKEFR|ET 0.099 . TGME49_246020 296 AFLFVTK|CN 0.067 . TGME49_246020 299 FVTKCNR|DH 0.108 . TGME49_246020 313 DFLAHMR|RL 0.075 . TGME49_246020 314 FLAHMRR|LN 0.114 . TGME49_246020 337 DEVAHYR|TH 0.076 . TGME49_246020 342 YRTHIWR|CQ 0.144 . TGME49_246020 346 IWRCQGK|CR 0.068 . TGME49_246020 348 RCQGKCR|ET 0.119 . TGME49_246020 358 PYFGYVR|RS 0.067 . TGME49_246020 359 YFGYVRR|SM 0.222 . TGME49_246020 363 VRRSMNR|AP 0.121 . TGME49_246020 370 APGPYDR|WW 0.112 . TGME49_246020 385 CGGMYVK|IS 0.071 . TGME49_246020 390 VKISEPK|KV 0.083 . TGME49_246020 391 KISEPKK|VT 0.097 . TGME49_246020 396 KKVTPNR|AA 0.141 . TGME49_246020 401 NRAASSR|QE 0.106 . TGME49_246020 404 ASSRQER|EK 0.373 . TGME49_246020 406 SRQEREK|KA 0.092 . TGME49_246020 407 RQEREKK|AK 0.347 . TGME49_246020 409 EREKKAK|AQ 0.080 . TGME49_246020 412 KKAKAQK|IE 0.066 . TGME49_246020 415 KAQKIEK|KE 0.058 . TGME49_246020 416 AQKIEKK|EK 0.112 . TGME49_246020 418 KIEKKEK|RE 0.071 . TGME49_246020 419 IEKKEKR|EK 0.261 . TGME49_246020 421 KKEKREK|TE 0.065 . TGME49_246020 425 REKTEQR|TE 0.098 . TGME49_246020 430 QRTEGTR|SG 0.129 . TGME49_246020 439 GALMFWK|LG 0.062 . TGME49_246020 447 GGESAAK|AE 0.064 . TGME49_246020 453 KAEADGK|SN 0.084 . TGME49_246020 457 DGKSNVR|CL 0.086 . TGME49_246020 469 QAAAQHR|HR 0.087 . TGME49_246020 471 AAQHRHR|NR 0.089 . TGME49_246020 473 QHRHRNR|YS 0.108 . TGME49_246020 483 LADVLHR|NR 0.065 . TGME49_246020 485 DVLHRNR|VE 0.062 . TGME49_246020 488 HRNRVER|IL 0.353 . TGME49_246020 491 RVERILK|LN 0.091 . TGME49_246020 500 AHHDSEK|LS 0.070 . TGME49_246020 537 SSSFSSR|SS 0.281 . TGME49_246020 601 VQLLAVR|PS 0.062 . TGME49_246020 616 PSPPASR|VS 0.060 . TGME49_246020 623 VSVSPSR|RH 0.073 . TGME49_246020 624 SVSPSRR|HR 0.312 . TGME49_246020 626 SPSRRHR|GA 0.719 *ProP* TGME49_246020 630 RHRGASR|GA 0.151 . TGME49_246020 637 GADAPGR|GS 0.092 . TGME49_246020 647 ELPLNGK|ER 0.055 . TGME49_246020 649 PLNGKER|TT 0.107 . TGME49_246020 652 GKERTTR|RT 0.279 . TGME49_246020 653 KERTTRR|TD 0.141 . TGME49_246020 678 ISSTHAR|LT 0.128 . TGME49_246020 681 THARLTR|SL 0.522 *ProP* TGME49_246020 695 PHSFPQK|GL 0.086 . TGME49_246020 698 FPQKGLK|DD 0.079 . TGME49_246020 711 QNPTHEK|RS 0.068 . TGME49_246020 712 NPTHEKR|SS 0.277 . TGME49_246020 723 DGASLSR|PS 0.088 . TGME49_246020 774 PSHPSPR|GG 0.127 . TGME49_246020 782 GTDDGLR|GV 0.095 . TGME49_246020 791 TETAVSR|EL 0.078 . TGME49_246020 799 LDVFSCR|FC 0.098 . TGME49_246020 802 FSCRFCK|GL 0.156 . TGME49_246020 809 GLFADSR|TL 0.087 . TGME49_246020 812 ADSRTLR|RH 0.193 . TGME49_246020 813 DSRTLRR|HI 0.157 . TGME49_246020 820 HIQCCLR|DP 0.105 . TGME49_246020 824 CLRDPSR|VR 0.078 . TGME49_246020 826 RDPSRVR|GR 0.078 . TGME49_246020 828 PSRVRGR|TD 0.103 . TGME49_246020 836 DLAALPR|DA 0.175 . ____________________________^_________________
  • Fasta :-

    >TGME49_246020 AAAAGTCTCTTCCATTCAATCAATCAAGTGCAAGATCTTAGGGAAAACCTTGGAAGCACG ATCTGGGCTCGCAACCCCCCCAGGAATCCCCGGGACCCCATCCCACCAGGGTGAGAGCCG ACTGGCCCCCCGGGAGCGTAAGGCACTGACCGAGGCCGGTGGCGTCGCCTCGCAAGTCTG CGCCGATGTTGGTCGAGATTCTCCCATCGGGATCTCTCCTCAAAACTCCGGAAATTCCCA CAGTTCCTCCCACTGCCCTCAACTGTGTCTGCGAATGCGTACTTAGCTGTCCATGACCAT GTAATTAAGTGCGGATCTGCATTTGCAGGACACGATATTTTGACAGATGAAGGGCGAACG CGTGACGATTCTGAACGGTCAGGAAGCGCGGGATCAGAGGCACTCGAGGGGCACGCTGCG TCCGAGGGGGTTCTGGCGCACTGACGACTCGTCTCCTTGTTGGAGGGCCATGAGTGCCGA CGCCAAAGAGAAAAGGTGGACATACTGGTGAAATCCGGAAAATATCCCGGCAAAGAGTGC CGTGCCATCTCCCTTTACGAGAAAGAACAGCAAGCAGGAGTCAGAGAATAATCCAGAAAG GAAATTCGGGGGGGAAACTGAAGCAAGACATACCTGGCGTACTGTAGATCCAGGTATGAC ACCTACTGGCATGGTTCTGTGGTGTGCCCTGACTGGAGATGATAGTTTCACAGGCGGGCA GAAAGAAGCGGTCTGGCAGTGTCTCAAGAAATGGAGTTGTCACGCTTGCCATGTCATGTT TCTAACGGTTCCTCACTTCTCCGTGGAGGAACACGTAGCGAGGAACATCGGACCCGACTC GACGAAGTCACGATGCGCCCTCCGAAAGGAACTGTCTCGCGGCCTTTACTGCCACGGGTA GCGATTCCGGATCCTGAACTCTCGAGCGGAAGTGGGAGACACGAAGCTGAATAGACCCTA GAAACCGATAGAAAGAGAGAGGTTGCTGCATGTGAGAGAAGGAAAGCTGTACTTTCCTCT TAAGTATCGACCACGTGACCGGAGAGGCCCGAGAACAAACTCGGGCAACGACAGAGGCGC CACAAACGCGTAGACACAACGCATGTGGTCTGTAGAGCTTGGCAGCGAACTCAGAATCAT CATAGGGGACAGCTAATTGAAAGACAATAGAGCAAATAGTGGAATAAGAATGAGATCCGA CATTTTTTCAAATTTTTCGCAGACGCTTAAAAACATTTTGTTTGGTTTGCTCGCGAGGGT CAAAGTTGCAATAGTATTGAACGCAGGCACGCACCGACAATTACAAGGGGGGAACAAGAC GCTGGACGGGCACGGCTTTCCGTCGACTTTTATTGGCAGACTCCTCGACTCGCCTAGTTT CTTCTTTTCTCTTTTTCAGTGTTGCGTTCCTCGTCATTCTGATGGCGTCGTCCAGGCGTC CATTCCGTTTTTTCTGTTGCAGGTGCCAGTCCTCCGTTCCTGTCGCTATTTGTGTCTCGT CCCGTGCCCAAGCTTTCCACCGCTTTTCGTCTCCCTTTCACGAGGAACGAGGTTCCTTTG GTTTTCTTTCTTCGTTCCCACTTTCCCTTGGAAGGGACGGCAGCTGGCGCACTCATTTCA ACTTGCCTTTGTTGTCGCTTTCAGGACGAAGCGCCGCGATGTGACAGTGTCGTCTGCAAT TCGCAGAGCTGCAGACCGGTGTCTGCATCGACACAAGCGCGCCTCTCCGTTTCTCTTCAT TTCTTCCGCCGCTCTCGACTCTAGATATGCATCTGTTGCATTTCCTACCTGGGGAAGAGG GCGAGGAGTTCCTTCGTCTCTCCACACAACGTGTACGTGTTTCCGACGCCACACCCGGAG ATCCAGCGACACGCTTACCGTGGAGATTCATGGTTAACGGAGTGGCATTTTCGAATTTTT GAAGCTCTTTTGAACCCGAAACTGGCATTAAGCACCCGTCTGTGAACATACAAGGTTTTC TACGGATTCTCAAAAGAGATCCGACGCATCGGGACCTGGTACCTGTCTCCTGTCAGAAAC ACGAATCTTCGCTAGAGATCCACCATCGTCCGCCGCAAGATTTTCTGCGCGTGTTTCTCG TCCTATCTTCACTCCGCGTCTCCCTCGCAGAAATATTGAACAGTGGTGCAGAGGATATGT CGTGTCAGAGCCGCCACCGTATGCGGTGTATGGAACGTAAAGACTGTCGACTGCTGCACC CACAGCGGCTTCCAGGTGTACCTACACCTGAGCCGCCACGTCCCTTCATACGGGAAGGAA ACTGGAAGAGAACGCGTAGATCTTTTCCGCCTCGGGAGGTCTACTTGAAGCCAAAAGGGC GAACAAAAGAGCTGCGCGGTGTGTTTGGAGAAGTTGTAAGGCGAGCAGGGGAGACTTGGC TTCTCTGCAGGCAGAGGAAGCGGGATAAACTCCGCAGGTCTTTGCACGCCACGGGCAGCG AGTGAGCGAACTAGAGACGCGAGTCTTCACAACGCAACGAAGGGGGACCTACCACGTTGA CAGCATTTCCAGCAACTCCTTTCTGTCTCTTTCGCGGCACTGTTGGAGGCCCGGTTACGA CGTTCTGTCGCCTTTTCGTCTTCAGCCTGCCTTTTCTGCCTCTTCGTGGAGGGCGAGCGA GCTCCACAGAGGATACCCCGCTGCGGAGAGAAGGGATGGAAGCCGCAGGGGAGTCCTTCA GTCGCGACAAGAATGTGCGGCGTTTGGGAGTTGAAGGCGAGCCTCTGAGGCCAGCAAAGG TTTTTGAGGCAGAAGGTTTCAACGCCGCCAATCGTCTTCCCCAGAGATCTGTCCCCTCTG GCCTTGAAGTCTTGGAGCTCGAAACAGAGGCAAGGCAGGATGCGGAGGCAGCCGACCCCG ACAGCGATGTGGAAGTCGTTGCCGTCGTCAAGAGACGCAGGCTAGGAGCAGACTCTCCGG TCGAGAGTGTGCGAGCGCTTTTCAAAGGAGACACGTCCCGAAATCCACGAGCATCAGGCA GTCTTTCTTCAAGTTCCGCACGGGCGATGGCTGTCGACGGAAGCGAAGTCTTTTCTCTTG ATTCTCCCCCTCTGTCTCCCCGAATGCCAACTGAAGGAAACACGACACGTTACGAAACAA CCACTGAAGAGTCCCTTCCAGTTCTTTCTTCTTTTTCTTCCTCTTCCTCCTCTTCGTCTT CCTCCTTTTCGTCTTCCTCTTCCTCCTCTTCGTCTTCCTCCTCTTCTTCCTTTTCTTCTC CCTCTTCTTCCTCTCCTTCACTTCCTTTAGTAGAGGTTCCTCGGCCTCGGCGTGTGTCCG TTCATGGCCAGGACGAGCTGATCGCTCCTGATTTGCATGCTCTTTTTGCGTATTACAACG ATGCATTTTTCGAGGGGAAGTTGTGCGGAGTTGAAGTACGGTGGAGCAAAAGGATGACGC TTTGCGCAGGTCTCTGCGTCTACCAGACTGGAGGCTACTGCTCCGTCCGTCTCTCCGAGC CGCTTCTCAAGTTCAGATCGGTCAAGGAATTTCGAGAAACGCTCTTGCATGAGATGATTC ATGCCTTCCTCTTTGTCACCAAGTGCAACCGAGACCACGACGCTCATGGGCCGGATTTTT TGGCCCACATGCGGCGCCTGAATGCTCTAACGGGACTGAACATCACCGTGTACCACAACT TCCATGACGAGGTCGCCCACTACCGCACACACATCTGGCGGTGTCAGGGGAAATGCCGAG AAACGCCGCCCTACTTCGGCTACGTTCGGCGGTCGATGAATCGTGCGCCAGGGCCTTACG ACCGCTGGTGGGCAGAGCACCAAGAAAGCTGCGGCGGAATGTATGTGAAAATCAGCGAGC CTAAGAAGGTCACTCCGAACAGAGCTGCTTCGTCGAGACAGGAGAGAGAGAAGAAAGCAA AGGCGCAAAAAATCGAAAAGAAGGAAAAGAGAGAGAAGACGGAGCAACGGACGGAGGGCA CGCGTTCGGGAGGGGCTTTGATGTTCTGGAAACTCGGAGGAGAAAGTGCAGCGAAGGCCG AGGCCGACGGAAAATCAAACGTGCGGTGTCTAGACACCCCACAAGCTGCAGCGCAACACA GACACCGCAACCGGTATTCAACACTCGCTGATGTTCTACACAGAAACCGAGTCGAGCGTA TTCTCAAGTTGAACGCACACCATGACAGCGAAAAGTTGAGCTCGTCAGGGCCAGGCCCTT TGCCTTTCTCAAGCGCCTCTTCTTCCTCTACGTCTTCCTCTGTATCTTCTGCGGAGATGT CTTCTTCCTCTTCTTTTTCGTCTCGTTCCTCTTCTTCTTCCTCTTTTTCTTCCACATCTT CTCCATCGTCTCCTCCATCGTCTTCTTCATCTTCTTCGTGTTCATCGTCTTCTTCCTGCT CTCCGTCCTGTTTCTCGTTCTCTCCTTCATCTTCTGCCTCGTCTTCTGTCGATGCCCCTC CCGGGGACGATGATGCGGTGCAGTTGCTTGCCGTCCGGCCCTCCTTTTCGCTGTCTGCTC TGCCCAGTCCGCCGGCTTCGCGTGTTTCTGTCTCGCCTTCTCGGCGCCACAGAGGTGCTT CCCGAGGCGCTGACGCACCCGGCCGAGGCAGCGACGAGCTTCCCTTGAACGGCAAAGAGC GGACAACGCGAAGAACAGACGGACTCGCAGCTGCATTCGTCGAAGAAGGTGACTCGGGTG TTCTCTTCATTTCAAGCACTCATGCTCGACTGACACGGTCCCTGACCTCGTCTGGTGGTC CTCATTCTTTTCCCCAGAAAGGCCTGAAGGATGACGAAGTCTCAACACAGAATCCAACAC ACGAGAAAAGATCTTCGCCTTCTGATGGTGCGTCTCTTTCTCGTCCCTCCTCGTCTTCGT CACCGTCGTCTTCCCCTTCTTCTTTACCTTCTTCGTCTTTCTCGTCTTCGTCAGGTCTAC TGTCTTCGTCTTCTTCACCTTCTGCACCTTCTTCTTTGCCTTCTTCTTCAGCGAGTCCTT CTCATCCTTCACCAAGGGGGGGAACGGACGACGGACTGAGAGGCGTGACTGAGACTGCTG TCTCTCGAGAACTCGATGTTTTCTCTTGTCGCTTCTGTAAAGGACTCTTTGCAGACTCGC GTACTCTAAGACGTCACATTCAATGCTGCCTGCGAGATCCAAGCCGCGTCCGAGGCCGCA CCGACTTGGCCGCTCTCCCACGGGATGCAGGATGACGCACATGTTTCCAGATGGAACTAG AAAGTGGAATTGTATCTTGCATCCCCGTGGCGTGAGCCAAACGATATGTCATTCTTTTTA CACAACGAGACGCATGCAGTCTCCGTTTTATCGAGGCCGCGTCACCGCGTGCATTTTGAT GCGTGAAAATAGCAGTAAACTGTCTCGACCCTCGGCGCCTGCGGTTCGGTTCTTGTCAGG CGATTCGAAGGCCAAACAATAAAGATTCGCATTTTGCAGGAATGAGTTTTTCAAAACTGC ATGCAAGTAAATATTTGATCACGTCTAGCTGAAGGGCGCTTTAAGCATCCCGGCAACCAA GACGAAGGGGGGAGCGCCTTCAGAACAATGGCAAAATCGTGTATCATCGCATAGAGTGGA TGTAATACGTTTTCGCTGGACAAAGGAGCTGGAGTAAATAAATGACATGTCGGTGGAGAC ATAGAGAAAAGCGACGGTGGTTTTTCTTGCCGGCAAGGAAGTTCCGGATAGCTTGGACCA TCTCGAGTCAAAATGCGAGTTATGCTTTTCGCACCGAAAACAGTCAATCAAAGCGCACAC GCCGAGAGAAACTGTCCACAACAACGCAAACATCGATCCCTTTCATTTTCCTTTCAGGGT GTCGCTCTTGCATTCGTTTGCACCCTTTCCTCGTGTCCTGTGAACACACGTTTCGTCCAT TAACCCAACTCGAACGGTTCCTAGAACGGCGG
  • Download Fasta
  • Fasta :-

    MEAAGESFSRDKNVRRLGVEGEPLRPAKVFEAEGFNAANRLPQRSVPSGLEVLELETEAR QDAEAADPDSDVEVVAVVKRRRLGADSPVESVRALFKGDTSRNPRASGSLSSSSARAMAV DGSEVFSLDSPPLSPRMPTEGNTTRYETTTEESLPVLSSFSSSSSSSSSSFSSSSSSSSS SSSSSFSSPSSSSPSLPLVEVPRPRRVSVHGQDELIAPDLHALFAYYNDAFFEGKLCGVE VRWSKRMTLCAGLCVYQTGGYCSVRLSEPLLKFRSVKEFRETLLHEMIHAFLFVTKCNRD HDAHGPDFLAHMRRLNALTGLNITVYHNFHDEVAHYRTHIWRCQGKCRETPPYFGYVRRS MNRAPGPYDRWWAEHQESCGGMYVKISEPKKVTPNRAASSRQEREKKAKAQKIEKKEKRE KTEQRTEGTRSGGALMFWKLGGESAAKAEADGKSNVRCLDTPQAAAQHRHRNRYSTLADV LHRNRVERILKLNAHHDSEKLSSSGPGPLPFSSASSSSTSSSVSSAEMSSSSSFSSRSSS SSSFSSTSSPSSPPSSSSSSSCSSSSSCSPSCFSFSPSSSASSSVDAPPGDDDAVQLLAV RPSFSLSALPSPPASRVSVSPSRRHRGASRGADAPGRGSDELPLNGKERTTRRTDGLAAA FVEEGDSGVLFISSTHARLTRSLTSSGGPHSFPQKGLKDDEVSTQNPTHEKRSSPSDGAS LSRPSSSSSPSSSPSSLPSSSFSSSSGLLSSSSSPSAPSSLPSSSASPSHPSPRGGTDDG LRGVTETAVSRELDVFSCRFCKGLFADSRTLRRHIQCCLRDPSRVRGRTDLAALPRDAG

    No Results
    No Results
No Results
No Results
IDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethodIDSitePeptideScoreMethod
TGME49_246020134 SSPPLSPRMP0.996unspTGME49_246020134 SSPPLSPRMP0.996unspTGME49_246020134 SSPPLSPRMP0.996unspTGME49_246020166 SSSSSSSSSS0.992unspTGME49_246020177 SSSSSSSSSS0.99unspTGME49_246020178 SSSSSSSSSS0.99unspTGME49_246020179 SSSSSSSSSS0.99unspTGME49_246020180 SSSSSSSSSS0.99unspTGME49_246020181 SSSSSSSSSS0.992unspTGME49_246020188 SSSFSSPSSS0.991unspTGME49_246020208 SPRRVSVHGQ0.998unspTGME49_246020244 SEVRWSKRMT0.991unspTGME49_246020360 SYVRRSMNRA0.995unspTGME49_246020399 SNRAASSRQE0.996unspTGME49_246020522 SSTSSSVSSA0.991unspTGME49_246020524 SSSSVSSAEM0.993unspTGME49_246020525 SSSVSSAEMS0.993unspTGME49_246020535 SSSSFSSRSS0.993unspTGME49_246020539 SSSRSSSSSS0.997unspTGME49_246020540 SSRSSSSSSF0.993unspTGME49_246020543 SSSSSSFSST0.99unspTGME49_246020549 SSSTSSPSSP0.994unspTGME49_246020552 SSSPSSPPSS0.996unspTGME49_246020583 SSSASSSVDA0.997unspTGME49_246020618 SASRVSVSPS0.996unspTGME49_246020629 SHRGASRGAD0.99unspTGME49_246020714 SEKRSSPSDG0.998unspTGME49_246020725 SLSRPSSSSS0.996unspTGME49_246020729 SSSSSSPSSS0.996unspTGME49_246020733 SSPSSSPSSL0.994unspTGME49_246020767 SSSSASPSHP0.991unspTGME49_246020772 SPSHPSPRGG0.99unspTGME49_24602087 SLGADSPVES0.997unspTGME49_246020107 SNPRASGSLS0.993unsp

TGME49_046020      



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