• Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0008239      GO:0016787      

  • Computed_GO_Functions:  dipeptidyl-peptidase activity      hydrolase activity      

  • 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
LmxM.28.1950OTHER0.9998030.0000480.000149
No Results
  • Fasta :-

    >LmxM.28.1950 MHRACTDLPHPTQFVENTYITLKDDIRLAARLFMPKDASSEHRYPGILEYIPYRKRNGTR IRDEPMHGFFAGQGYVAVRVDMRGTGESDGLLLDEYLKQEQDDALEVIDWISKQPWCTGD VGMMGKSWGGFNSLQVAARRPPALRAIIVLGFTHNRFTDDIHWKGGCLLNDNFWWGCIMQ GFQSCPPDGDIVGDRWKEMWLERLEKMPLNAADWAEHQRYDAYWQHGSIQEDYSSIQVPV LLVDGWADSYTNSLFHLLEGLKVPCKAICGPWAHLYPQDGTPLPRMNFLRAAKDWWDYWM KGMTANDVASWPVLQVYIEDSLPPCTTKPMAPGKWVAMDKWVNAEVPTVAYGLGAGRLLT EVGKDGATIGTGTVMVHTPLNHGLISGEWMGVGVIGETAGDQRIDNGLAVTYTSAPLTAA MDILGQPTFSVTLTCDQAKGFLFAKLCDIAPDGAATRITYGMKNLVHCGPEGDKAIALVQ PGQAVQVTVTMDFCGYCVPAGHSVSLSLANNYWPMVWCSPADTTLLLDAATAVFRVPVLH SSATIVPGPDSVPEVAASTPMTVIAPGRVERSVSYEIVRDTWTYVTSVVGGVFGEGIVRF DDIGTTLEHNMHRELTLSNRDPLSAHYTINQKLKVSRPHCVTDVNITSTQHCDADYLYIR SNIKAAHNDEGVFEKSFCRRVRREAI
  • Download Fasta
  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/112 Sequence name : 112 Sequence length : 686 VALUES OF COMPUTED PARAMETERS Coef20 : 3.442 CoefTot : 0.037 ChDiff : -18 ZoneTo : 6 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.271 1.429 0.247 0.592 MesoH : 0.507 0.710 -0.081 0.353 MuHd_075 : 33.374 19.903 10.164 6.177 MuHd_095 : 16.118 17.042 7.171 4.005 MuHd_100 : 30.701 24.713 10.786 6.752 MuHd_105 : 39.741 26.966 12.207 8.072 Hmax_075 : 11.550 8.750 0.954 3.442 Hmax_095 : 5.400 10.000 1.028 2.960 Hmax_100 : 13.400 11.900 3.019 3.820 Hmax_105 : 8.800 7.613 0.563 3.351 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8094 0.1906 DFMC : 0.7388 0.2612
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 686 LmxM.28.1950 MHRACTDLPHPTQFVENTYITLKDDIRLAARLFMPKDASSEHRYPGILEYIPYRKRNGTRIRDEPMHGFFAGQGYVAVRV 80 DMRGTGESDGLLLDEYLKQEQDDALEVIDWISKQPWCTGDVGMMGKSWGGFNSLQVAARRPPALRAIIVLGFTHNRFTDD 160 IHWKGGCLLNDNFWWGCIMQGFQSCPPDGDIVGDRWKEMWLERLEKMPLNAADWAEHQRYDAYWQHGSIQEDYSSIQVPV 240 LLVDGWADSYTNSLFHLLEGLKVPCKAICGPWAHLYPQDGTPLPRMNFLRAAKDWWDYWMKGMTANDVASWPVLQVYIED 320 SLPPCTTKPMAPGKWVAMDKWVNAEVPTVAYGLGAGRLLTEVGKDGATIGTGTVMVHTPLNHGLISGEWMGVGVIGETAG 400 DQRIDNGLAVTYTSAPLTAAMDILGQPTFSVTLTCDQAKGFLFAKLCDIAPDGAATRITYGMKNLVHCGPEGDKAIALVQ 480 PGQAVQVTVTMDFCGYCVPAGHSVSLSLANNYWPMVWCSPADTTLLLDAATAVFRVPVLHSSATIVPGPDSVPEVAASTP 560 MTVIAPGRVERSVSYEIVRDTWTYVTSVVGGVFGEGIVRFDDIGTTLEHNMHRELTLSNRDPLSAHYTINQKLKVSRPHC 640 VTDVNITSTQHCDADYLYIRSNIKAAHNDEGVFEKSFCRRVRREAI 720 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................................ 320 ................................................................................ 400 ................................................................................ 480 ................................................................................ 560 ..........P..................................................................... 640 ..........................................P... 720 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 2 Name Pos Context Score Pred ____________________________v_________________ LmxM.28.1950 3 ----MHR|AC 0.094 . LmxM.28.1950 23 NTYITLK|DD 0.059 . LmxM.28.1950 27 TLKDDIR|LA 0.082 . LmxM.28.1950 31 DIRLAAR|LF 0.087 . LmxM.28.1950 36 ARLFMPK|DA 0.087 . LmxM.28.1950 43 DASSEHR|YP 0.148 . LmxM.28.1950 54 LEYIPYR|KR 0.072 . LmxM.28.1950 55 EYIPYRK|RN 0.083 . LmxM.28.1950 56 YIPYRKR|NG 0.120 . LmxM.28.1950 60 RKRNGTR|IR 0.114 . LmxM.28.1950 62 RNGTRIR|DE 0.110 . LmxM.28.1950 79 QGYVAVR|VD 0.086 . LmxM.28.1950 83 AVRVDMR|GT 0.133 . LmxM.28.1950 98 LLDEYLK|QE 0.053 . LmxM.28.1950 113 VIDWISK|QP 0.054 . LmxM.28.1950 126 DVGMMGK|SW 0.093 . LmxM.28.1950 139 SLQVAAR|RP 0.089 . LmxM.28.1950 140 LQVAARR|PP 0.084 . LmxM.28.1950 145 RRPPALR|AI 0.117 . LmxM.28.1950 156 LGFTHNR|FT 0.124 . LmxM.28.1950 164 TDDIHWK|GG 0.066 . LmxM.28.1950 195 GDIVGDR|WK 0.103 . LmxM.28.1950 197 IVGDRWK|EM 0.058 . LmxM.28.1950 203 KEMWLER|LE 0.076 . LmxM.28.1950 206 WLERLEK|MP 0.116 . LmxM.28.1950 219 DWAEHQR|YD 0.104 . LmxM.28.1950 262 HLLEGLK|VP 0.054 . LmxM.28.1950 266 GLKVPCK|AI 0.067 . LmxM.28.1950 285 DGTPLPR|MN 0.068 . LmxM.28.1950 290 PRMNFLR|AA 0.166 . LmxM.28.1950 293 NFLRAAK|DW 0.168 . LmxM.28.1950 301 WWDYWMK|GM 0.066 . LmxM.28.1950 328 LPPCTTK|PM 0.066 . LmxM.28.1950 334 KPMAPGK|WV 0.085 . LmxM.28.1950 340 KWVAMDK|WV 0.104 . LmxM.28.1950 357 YGLGAGR|LL 0.079 . LmxM.28.1950 364 LLTEVGK|DG 0.076 . LmxM.28.1950 403 ETAGDQR|ID 0.078 . LmxM.28.1950 439 LTCDQAK|GF 0.065 . LmxM.28.1950 445 KGFLFAK|LC 0.070 . LmxM.28.1950 457 PDGAATR|IT 0.087 . LmxM.28.1950 463 RITYGMK|NL 0.064 . LmxM.28.1950 474 CGPEGDK|AI 0.061 . LmxM.28.1950 535 AATAVFR|VP 0.063 . LmxM.28.1950 568 TVIAPGR|VE 0.075 . LmxM.28.1950 571 APGRVER|SV 0.716 *ProP* LmxM.28.1950 579 VSYEIVR|DT 0.122 . LmxM.28.1950 599 FGEGIVR|FD 0.084 . LmxM.28.1950 613 LEHNMHR|EL 0.094 . LmxM.28.1950 620 ELTLSNR|DP 0.085 . LmxM.28.1950 632 HYTINQK|LK 0.051 . LmxM.28.1950 634 TINQKLK|VS 0.074 . LmxM.28.1950 637 QKLKVSR|PH 0.086 . LmxM.28.1950 660 ADYLYIR|SN 0.120 . LmxM.28.1950 664 YIRSNIK|AA 0.071 . LmxM.28.1950 675 DEGVFEK|SF 0.083 . LmxM.28.1950 679 FEKSFCR|RV 0.093 . LmxM.28.1950 680 EKSFCRR|VR 0.157 . LmxM.28.1950 682 SFCRRVR|RE 0.200 . LmxM.28.1950 683 FCRRVRR|EA 0.574 *ProP* ____________________________^_________________
  • Fasta :-

    >LmxM.28.1950 ATGCACCGCGCCTGCACGGATCTTCCGCATCCGACGCAGTTCGTAGAGAACACCTACATC ACCCTCAAGGATGACATCCGCCTGGCCGCACGGCTCTTTATGCCGAAAGATGCATCGTCG GAGCACCGCTATCCGGGCATTCTGGAGTACATCCCGTACCGCAAGCGCAACGGCACCCGC ATCCGTGATGAACCTATGCACGGCTTCTTTGCCGGCCAAGGCTACGTCGCAGTGCGCGTC GATATGCGCGGCACCGGTGAGTCGGATGGCCTGCTGCTCGACGAATACCTCAAGCAGGAG CAGGACGATGCACTCGAGGTGATTGATTGGATCAGCAAGCAGCCATGGTGCACCGGTGAC GTTGGCATGATGGGCAAGTCGTGGGGTGGTTTCAACTCGCTGCAGGTGGCCGCTCGCCGT CCTCCCGCGCTGCGTGCCATCATTGTTCTCGGCTTCACACACAACCGTTTCACCGACGAC ATCCACTGGAAGGGCGGGTGCCTGCTGAACGACAACTTCTGGTGGGGATGCATCATGCAG GGCTTCCAGTCATGCCCGCCCGACGGCGACATTGTCGGGGATCGCTGGAAGGAGATGTGG CTGGAACGGCTGGAGAAGATGCCGCTGAACGCCGCTGACTGGGCTGAGCACCAGCGGTAC GACGCTTACTGGCAGCACGGGTCGATCCAGGAGGACTACAGCTCCATCCAGGTGCCAGTG CTCCTCGTCGATGGCTGGGCAGACTCGTACACGAACTCCCTCTTTCACCTGCTGGAGGGG CTGAAGGTGCCGTGCAAAGCCATTTGCGGCCCGTGGGCGCACTTGTACCCGCAGGACGGC ACGCCGCTGCCTCGGATGAACTTTCTGCGTGCGGCCAAGGACTGGTGGGACTACTGGATG AAGGGCATGACGGCCAACGACGTGGCGAGCTGGCCGGTGCTCCAGGTCTACATCGAGGAC TCGCTGCCGCCCTGCACAACCAAGCCGATGGCGCCTGGCAAGTGGGTGGCGATGGACAAG TGGGTGAACGCTGAGGTGCCGACCGTCGCGTATGGCCTCGGCGCGGGCCGGTTACTGACA GAGGTGGGCAAGGACGGCGCCACCATTGGCACCGGCACGGTAATGGTGCACACCCCGCTG AACCATGGGCTCATCTCAGGTGAGTGGATGGGCGTGGGTGTGATAGGTGAGACTGCTGGT GACCAGCGCATTGACAACGGCTTGGCCGTCACCTATACCTCAGCCCCGCTTACAGCTGCT ATGGATATCCTCGGCCAGCCAACCTTCTCTGTGACGCTGACCTGCGATCAGGCGAAGGGC TTCCTGTTCGCCAAGCTGTGCGACATTGCGCCAGACGGGGCGGCCACGCGCATCACGTAC GGCATGAAGAACCTGGTTCACTGTGGCCCCGAGGGCGACAAAGCCATTGCCTTGGTGCAG CCCGGGCAGGCGGTTCAGGTGACAGTGACGATGGACTTCTGCGGCTACTGCGTCCCGGCC GGCCACAGCGTCTCCCTTTCGCTCGCGAACAACTACTGGCCCATGGTTTGGTGCTCTCCG GCGGACACGACGCTGCTGCTGGACGCCGCAACGGCTGTCTTCCGCGTCCCGGTGCTCCAC TCGAGCGCCACCATTGTCCCTGGTCCAGATTCGGTTCCGGAGGTGGCGGCTTCGACCCCC ATGACGGTGATCGCGCCCGGCCGCGTGGAGCGCTCCGTCTCATATGAGATCGTGCGGGAC ACCTGGACATACGTCACGAGCGTCGTCGGTGGCGTGTTTGGCGAGGGCATCGTCCGCTTC GACGACATTGGCACAACGCTGGAACACAATATGCATCGAGAGCTGACACTCAGCAACCGC GACCCGCTCTCGGCGCACTACACCATTAACCAGAAGCTCAAGGTCAGCCGCCCGCACTGC GTCACAGATGTGAACATTACGAGTACGCAGCACTGCGATGCCGACTATCTCTACATTCGG TCCAATATCAAGGCTGCCCACAACGACGAGGGTGTCTTTGAGAAGAGCTTCTGCCGCCGT GTGCGTCGGGAGGCCATCTAA
  • Download Fasta
  • Fasta :-

    MHRACTDLPHPTQFVENTYITLKDDIRLAARLFMPKDASSEHRYPGILEYIPYRKRNGTR IRDEPMHGFFAGQGYVAVRVDMRGTGESDGLLLDEYLKQEQDDALEVIDWISKQPWCTGD VGMMGKSWGGFNSLQVAARRPPALRAIIVLGFTHNRFTDDIHWKGGCLLNDNFWWGCIMQ GFQSCPPDGDIVGDRWKEMWLERLEKMPLNAADWAEHQRYDAYWQHGSIQEDYSSIQVPV LLVDGWADSYTNSLFHLLEGLKVPCKAICGPWAHLYPQDGTPLPRMNFLRAAKDWWDYWM KGMTANDVASWPVLQVYIEDSLPPCTTKPMAPGKWVAMDKWVNAEVPTVAYGLGAGRLLT EVGKDGATIGTGTVMVHTPLNHGLISGEWMGVGVIGETAGDQRIDNGLAVTYTSAPLTAA MDILGQPTFSVTLTCDQAKGFLFAKLCDIAPDGAATRITYGMKNLVHCGPEGDKAIALVQ PGQAVQVTVTMDFCGYCVPAGHSVSLSLANNYWPMVWCSPADTTLLLDAATAVFRVPVLH SSATIVPGPDSVPEVAASTPMTVIAPGRVERSVSYEIVRDTWTYVTSVVGGVFGEGIVRF DDIGTTLEHNMHRELTLSNRDPLSAHYTINQKLKVSRPHCVTDVNITSTQHCDADYLYIR SNIKAAHNDEGVFEKSFCRRVRREAI

    No Results
No Results
No Results
IDSitePeptideScoreMethod
LmxM.28.1950618 SELTLSNRDP0.994unsp

     



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