ETH_00028955 | hypothetical protein, conserved

  • Computed_GO_Component_IDs:        

  • Computed_GO_Components:        

  • Computed_GO_Function_IDs:  GO:0016787      

  • Computed_GO_Functions:  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
ETH_00028955OTHER0.9999570.0000370.000006
No Results

  • Fasta :-

    >ETH_00028955 MPTDSNEGCVSFHSGSVNVERAEQHHGNPHSLVGANPVVVFVHQYSIMGGSSSLMSGMAS LVTQRGFPAVTFDLRGVNNSSGWKTLTGHKETQDVVDVCSWCVKNLQAQSIVIVGSSAGA PIGGSAVDQLQEIRGYVGIGYVFGSLASLLFGGHYKKIIQSQKPKLFIHGDGDGFTSTST FMNYFKSAEEPKEMRVIPNVGHFEMEGPAYDSYMATQIVDFINKYLPREEKIPADTSSAA AIDKQ
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/ETH_00028955.fa Sequence name : ETH_00028955 Sequence length : 245 VALUES OF COMPUTED PARAMETERS Coef20 : 3.263 CoefTot : -0.253 ChDiff : -5 ZoneTo : 3 KR : 0 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 1.835 1.576 0.336 0.719 MesoH : -0.039 0.525 -0.207 0.305 MuHd_075 : 11.389 5.368 3.628 1.567 MuHd_095 : 17.305 11.212 4.952 2.779 MuHd_100 : 18.722 8.615 5.322 2.447 MuHd_105 : 16.063 4.325 4.665 1.542 Hmax_075 : 11.900 7.700 3.016 2.508 Hmax_095 : 9.537 5.425 0.720 2.581 Hmax_100 : 12.300 4.800 2.451 2.730 Hmax_105 : 11.500 4.000 2.119 3.030 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.9711 0.0289 DFMC : 0.9499 0.0501
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 245 ETH_00028955 MPTDSNEGCVSFHSGSVNVERAEQHHGNPHSLVGANPVVVFVHQYSIMGGSSSLMSGMASLVTQRGFPAVTFDLRGVNNS 80 SGWKTLTGHKETQDVVDVCSWCVKNLQAQSIVIVGSSAGAPIGGSAVDQLQEIRGYVGIGYVFGSLASLLFGGHYKKIIQ 160 SQKPKLFIHGDGDGFTSTSTFMNYFKSAEEPKEMRVIPNVGHFEMEGPAYDSYMATQIVDFINKYLPREEKIPADTSSAA 240 AIDKQ 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 ..... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ ETH_00028955 21 GSVNVER|AE 0.102 . ETH_00028955 65 ASLVTQR|GF 0.093 . ETH_00028955 75 AVTFDLR|GV 0.096 . ETH_00028955 84 NNSSGWK|TL 0.067 . ETH_00028955 90 KTLTGHK|ET 0.060 . ETH_00028955 104 VCSWCVK|NL 0.070 . ETH_00028955 134 DQLQEIR|GY 0.081 . ETH_00028955 156 LFGGHYK|KI 0.074 . ETH_00028955 157 FGGHYKK|II 0.096 . ETH_00028955 163 KIIQSQK|PK 0.061 . ETH_00028955 165 IQSQKPK|LF 0.086 . ETH_00028955 186 TFMNYFK|SA 0.107 . ETH_00028955 192 KSAEEPK|EM 0.071 . ETH_00028955 195 EEPKEMR|VI 0.087 . ETH_00028955 224 IVDFINK|YL 0.064 . ETH_00028955 228 INKYLPR|EE 0.081 . ETH_00028955 231 YLPREEK|IP 0.087 . ETH_00028955 244 SAAAIDK|Q- 0.071 . ____________________________^_________________

  • Fasta :-

    >ETH_00028955 ATGCCCACAGATTCAAACGAAGGCTGCGTCTCGTTTCATTCTGGCTCAGTAAATGTGGAA AGGGCGGAGCAGCACCATGGAAACCCGCACAGCCTTGTTGGCGCCAACCCAGTGGTTGTA TTTGTCCATCAGTACTCAATTATGGGCGGCTCAAGCTCCTTAATGAGCGGTATGGCGAGC CTTGTGACGCAGAGGGGTTTCCCGGCGGTAACCTTTGACCTCCGAGGCGTCAACAATTCT TCTGGATGGAAAACTTTGACGGGCCACAAAGAGACTCAAGATGTTGTAGATGTATGTTCG TGGTGTGTGAAGAATCTCCAAGCACAAAGCATTGTCATTGTGGGATCATCTGCTGGGGCT CCCATAGGTGGCAGTGCTGTTGACCAGCTCCAGGAGATCCGAGGATACGTTGGAATAGGC TATGTGTTTGGAAGCCTTGCCTCACTTCTGTTTGGCGGCCACTACAAAAAAATCATTCAG TCTCAAAAGCCGAAGTTGTTTATTCATGGGGACGGAGACGGATTCACATCCACGTCAACG TTTATGAATTACTTCAAGAGTGCAGAAGAACCGAAGGAAATGAGAGTAATTCCGAACGTG GGACACTTTGAAATGGAGGGACCCGCATACGACTCGTACATGGCGACTCAGATTGTAGAC TTTATCAATAAATACTTGCCGCGAGAAGAAAAGATCCCCGCAGATACTTCGAGTGCGGCC GCAATTGATAAACAGTAG
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  • Fasta :-

    MPTDSNEGCVSFHSGSVNVERAEQHHGNPHSLVGANPVVVFVHQYSIMGGSSSLMSGMAS LVTQRGFPAVTFDLRGVNNSSGWKTLTGHKETQDVVDVCSWCVKNLQAQSIVIVGSSAGA PIGGSAVDQLQEIRGYVGIGYVFGSLASLLFGGHYKKIIQSQKPKLFIHGDGDGFTSTST FMNYFKSAEEPKEMRVIPNVGHFEMEGPAYDSYMATQIVDFINKYLPREEKIPADTSSAA AIDKQ

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