YHL013C | Otu2p

_IDPredictionOTHERSPmTPCS_Position
YHL013COTHER0.9999970.0000010.000001
No Results

  • Fasta :-

    >YHL013C MTGMESGENLENMEDILARHRKENKDLQNKITGMKKQATKSKRKEVNSKCLDLQDKLKTK QENEIRDWKIANNEVFDAEQEDEVTPEKLLEQLSISRDEKEQQNVPVQQQQQGQTKKRRN RQKERLAKRDAAIAKMKEEAALEASKQPDLKKMEQESIDQLCELKKLKQFDIQPDGHCLF ASILDQLKLRHDPKKLDQDMDVMKLRWLSCNYVQEHRDDFIPYLFDEETMKMKDIDEYTK EMEHTAQWGGEIEILALSHVFDCPISILMSGRPIQVYNECGKNPELKLVYYKHSYALGEH YNSLHDS
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/YHL013C.fa Sequence name : YHL013C Sequence length : 307 VALUES OF COMPUTED PARAMETERS Coef20 : 3.166 CoefTot : -0.250 ChDiff : -8 ZoneTo : 4 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.200 1.612 0.167 0.578 MesoH : -1.271 -0.255 -0.624 0.103 MuHd_075 : 16.910 5.680 4.371 2.454 MuHd_095 : 19.848 10.028 4.940 2.392 MuHd_100 : 27.566 13.630 7.870 3.902 MuHd_105 : 35.186 18.840 10.123 5.516 Hmax_075 : -0.787 2.000 -2.399 1.960 Hmax_095 : 4.550 5.162 -0.710 2.599 Hmax_100 : 9.100 9.000 0.163 3.230 Hmax_105 : 15.983 14.933 2.793 5.297 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9888 0.0112 DFMC : 0.9866 0.0134
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 307 YHL013C MTGMESGENLENMEDILARHRKENKDLQNKITGMKKQATKSKRKEVNSKCLDLQDKLKTKQENEIRDWKIANNEVFDAEQ 80 EDEVTPEKLLEQLSISRDEKEQQNVPVQQQQQGQTKKRRNRQKERLAKRDAAIAKMKEEAALEASKQPDLKKMEQESIDQ 160 LCELKKLKQFDIQPDGHCLFASILDQLKLRHDPKKLDQDMDVMKLRWLSCNYVQEHRDDFIPYLFDEETMKMKDIDEYTK 240 EMEHTAQWGGEIEILALSHVFDCPISILMSGRPIQVYNECGKNPELKLVYYKHSYALGEHYNSLHDS 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ................................................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ YHL013C 19 MEDILAR|HR 0.083 . YHL013C 21 DILARHR|KE 0.068 . YHL013C 22 ILARHRK|EN 0.357 . YHL013C 25 RHRKENK|DL 0.088 . YHL013C 30 NKDLQNK|IT 0.066 . YHL013C 35 NKITGMK|KQ 0.056 . YHL013C 36 KITGMKK|QA 0.111 . YHL013C 40 MKKQATK|SK 0.095 . YHL013C 42 KQATKSK|RK 0.069 . YHL013C 43 QATKSKR|KE 0.130 . YHL013C 44 ATKSKRK|EV 0.098 . YHL013C 49 RKEVNSK|CL 0.071 . YHL013C 56 CLDLQDK|LK 0.065 . YHL013C 58 DLQDKLK|TK 0.064 . YHL013C 60 QDKLKTK|QE 0.071 . YHL013C 66 KQENEIR|DW 0.110 . YHL013C 69 NEIRDWK|IA 0.132 . YHL013C 88 DEVTPEK|LL 0.058 . YHL013C 97 EQLSISR|DE 0.077 . YHL013C 100 SISRDEK|EQ 0.146 . YHL013C 116 QQQGQTK|KR 0.064 . YHL013C 117 QQGQTKK|RR 0.084 . YHL013C 118 QGQTKKR|RN 0.273 . YHL013C 119 GQTKKRR|NR 0.153 . YHL013C 121 TKKRRNR|QK 0.306 . YHL013C 123 KRRNRQK|ER 0.083 . YHL013C 125 RNRQKER|LA 0.100 . YHL013C 128 QKERLAK|RD 0.132 . YHL013C 129 KERLAKR|DA 0.289 . YHL013C 135 RDAAIAK|MK 0.080 . YHL013C 137 AAIAKMK|EE 0.071 . YHL013C 146 AALEASK|QP 0.058 . YHL013C 151 SKQPDLK|KM 0.068 . YHL013C 152 KQPDLKK|ME 0.110 . YHL013C 165 DQLCELK|KL 0.057 . YHL013C 166 QLCELKK|LK 0.072 . YHL013C 168 CELKKLK|QF 0.072 . YHL013C 188 SILDQLK|LR 0.054 . YHL013C 190 LDQLKLR|HD 0.103 . YHL013C 194 KLRHDPK|KL 0.085 . YHL013C 195 LRHDPKK|LD 0.134 . YHL013C 204 QDMDVMK|LR 0.060 . YHL013C 206 MDVMKLR|WL 0.127 . YHL013C 217 NYVQEHR|DD 0.072 . YHL013C 231 FDEETMK|MK 0.067 . YHL013C 233 EETMKMK|DI 0.091 . YHL013C 240 DIDEYTK|EM 0.058 . YHL013C 272 SILMSGR|PI 0.098 . YHL013C 282 VYNECGK|NP 0.063 . YHL013C 287 GKNPELK|LV 0.083 . YHL013C 292 LKLVYYK|HS 0.070 . ____________________________^_________________

  • Fasta :-

    >YHL013C ATGACCGGCATGGAATCAGGAGAGAATTTGGAAAACATGGAAGATATTTTGGCGAGACAT CGCAAGGAAAATAAAGATTTACAGAATAAGATAACGGGTATGAAAAAGCAGGCTACTAAA TCCAAAAGGAAAGAAGTTAATTCGAAATGCCTAGATCTTCAAGATAAACTAAAGACTAAG CAAGAAAATGAAATAAGGGATTGGAAAATTGCAAATAATGAAGTGTTTGACGCAGAACAA GAAGATGAAGTGACTCCTGAAAAACTTTTAGAACAACTATCCATATCTCGAGATGAGAAA GAACAACAGAATGTTCCCGTTCAACAACAGCAACAAGGCCAGACAAAGAAGCGTCGCAAT AGACAAAAGGAAAGATTGGCCAAAAGAGATGCAGCAATTGCTAAAATGAAAGAAGAGGCT GCTTTAGAAGCATCCAAACAACCGGACTTGAAAAAAATGGAGCAGGAGTCTATAGATCAG TTATGCGAGTTGAAGAAACTGAAACAATTCGATATACAACCCGATGGCCACTGTCTCTTT GCATCTATATTAGATCAGTTAAAATTACGCCATGATCCAAAAAAACTGGATCAAGACATG GATGTCATGAAGCTGAGATGGTTGAGTTGTAATTACGTACAGGAGCACAGGGATGATTTC ATTCCATATTTGTTTGATGAAGAAACTATGAAGATGAAAGACATTGATGAGTATACGAAA GAGATGGAGCATACAGCTCAATGGGGTGGTGAAATTGAGATTTTGGCTCTCTCTCACGTT TTCGACTGCCCCATTAGCATTCTGATGAGTGGAAGACCTATTCAAGTGTACAATGAATGT GGGAAAAATCCTGAATTGAAGCTAGTTTACTATAAACACAGCTATGCATTAGGTGAGCAT TATAATTCATTGCATGATTCTTGA
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  • Fasta :-

    MTGMESGENLENMEDILARHRKENKDLQNKITGMKKQATKSKRKEVNSKCLDLQDKLKTK QENEIRDWKIANNEVFDAEQEDEVTPEKLLEQLSISRDEKEQQNVPVQQQQQGQTKKRRN RQKERLAKRDAAIAKMKEEAALEASKQPDLKKMEQESIDQLCELKKLKQFDIQPDGHCLF ASILDQLKLRHDPKKLDQDMDVMKLRWLSCNYVQEHRDDFIPYLFDEETMKMKDIDEYTK EMEHTAQWGGEIEILALSHVFDCPISILMSGRPIQVYNECGKNPELKLVYYKHSYALGEH YNSLHDS

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YHL013C      



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