cgd3_980 | Peptidase S54 rhomboid domain containing protein

  • Computed_GO_Component_IDs:  GO:0016021      

  • Computed_GO_Components:  integral component of membrane      

  • Computed_GO_Function_IDs:  GO:0004252      

  • Computed_GO_Functions:  serine-type endopeptidase 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
cgd3_980OTHER0.9999960.0000000.000004
No Results

  • Fasta :-

    >cgd3_980 MSNIHRLSDLPPQRDSRSQSGRSFNNNDPGPSLRFVDLFFPGITWKHSIIWISLVQFIVY IATCIVGSYALSPFVTTLIKFQASVPSLVKEGQVWRLLVSLFLHASIWHIVFNIIFQIRL SLSCEVKYGRILNFTIYFISGLLGNLFSVAIRSSCVVAVGASTSGFGLIGAQLAELILFW HTLQNKEQVVINILLFGILMILITWGNPSSAIDHWGHIGGFVSGTCLGIICNFKSDLKPK WYKAAFGVSIALISSTLIGPIIRIWAFELAPCVVFPEKLMNP
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  • MitoProt II - v1.101 File : /home/rajan/sadaf/4480_mitoprot/test/cgd3_980.fa Sequence name : cgd3_980 Sequence length : 282 VALUES OF COMPUTED PARAMETERS Coef20 : 3.910 CoefTot : 0.108 ChDiff : 8 ZoneTo : 8 KR : 1 DE : 0 CleavSite : 0 HYDROPHOBIC SCALE USED GES KD GVH1 ECS H17 : 2.253 2.665 0.418 0.935 MesoH : 0.887 1.304 0.020 0.522 MuHd_075 : 10.682 3.980 2.372 1.153 MuHd_095 : 33.220 14.358 7.870 7.727 MuHd_100 : 31.487 14.596 7.050 7.186 MuHd_105 : 22.210 13.749 5.041 4.841 Hmax_075 : -12.700 -4.317 -4.922 -1.727 Hmax_095 : -1.900 -0.000 -1.849 1.480 Hmax_100 : 1.100 3.500 -1.262 2.000 Hmax_105 : -2.000 2.500 -1.708 0.400 CLASS NOT-MITO MITO(/CHLORO) DFM : 0.8683 0.1317 DFMC : 0.8688 0.1312
  • ##### ProP v.1.0b ProPeptide Cleavage Site Prediction ##### ##### Furin-type cleavage site prediction (Arginine/Lysine residues) ##### 282 cgd3_980 MSNIHRLSDLPPQRDSRSQSGRSFNNNDPGPSLRFVDLFFPGITWKHSIIWISLVQFIVYIATCIVGSYALSPFVTTLIK 80 FQASVPSLVKEGQVWRLLVSLFLHASIWHIVFNIIFQIRLSLSCEVKYGRILNFTIYFISGLLGNLFSVAIRSSCVVAVG 160 ASTSGFGLIGAQLAELILFWHTLQNKEQVVINILLFGILMILITWGNPSSAIDHWGHIGGFVSGTCLGIICNFKSDLKPK 240 WYKAAFGVSIALISSTLIGPIIRIWAFELAPCVVFPEKLMNP 320 ................................................................................ 80 ................................................................................ 160 ................................................................................ 240 .......................................... 320 Propeptide cleavage sites predicted: Arg(R)/Lys(K): 0 Name Pos Context Score Pred ____________________________v_________________ cgd3_980 6 -MSNIHR|LS 0.075 . cgd3_980 14 SDLPPQR|DS 0.092 . cgd3_980 17 PPQRDSR|SQ 0.342 . cgd3_980 22 SRSQSGR|SF 0.285 . cgd3_980 34 DPGPSLR|FV 0.176 . cgd3_980 46 FPGITWK|HS 0.068 . cgd3_980 80 FVTTLIK|FQ 0.056 . cgd3_980 90 SVPSLVK|EG 0.052 . cgd3_980 96 KEGQVWR|LL 0.079 . cgd3_980 119 NIIFQIR|LS 0.076 . cgd3_980 127 SLSCEVK|YG 0.077 . cgd3_980 130 CEVKYGR|IL 0.073 . cgd3_980 152 LFSVAIR|SS 0.153 . cgd3_980 186 WHTLQNK|EQ 0.055 . cgd3_980 234 GIICNFK|SD 0.065 . cgd3_980 238 NFKSDLK|PK 0.053 . cgd3_980 240 KSDLKPK|WY 0.085 . cgd3_980 243 LKPKWYK|AA 0.077 . cgd3_980 263 LIGPIIR|IW 0.077 . cgd3_980 278 CVVFPEK|LM 0.062 . ____________________________^_________________

  • Fasta :-

    >cgd3_980 AGCGTATAAAAATAAATCTGGTGAATCCCTTTTATTCTCCTGAATTTAAATAGGAGATTA AGGTATTTTGAGGGCTTTGTAGTGTAAAGTTATTGCAGATTTATAATTCTGTAACTATTA CTTAGGAAGTAACTTTAATTGCTACCTTTAGTGGCCAAATTATATATACACAGATATTAA ATTTAAATAAATACGTTACACTATAAGAGACAACCCAATCTTCTTTTAAGCTCTCAAATG CAACAATTACAAACTAATTAAAGTAATTGGAACTTAAAATCATTTTTTTATAGCAACAGG TACTTGGAGAGTTTATCATACAAAAATATATTAAACTTCAAAACTAATATTATCTATTAA TGGATATATAATTAATTCAAAATAAACAATTACAACAGCAATTCAACAAAAAAAAAGGAA AATAAATATTGAATCTTAAGATGTCAAATATACACAGACTTTCTGATTTACCTCCCCAAA GAGATAGCAGAAGCCAAAGTGGTAGAAGCTTTAATAACAATGATCCAGGGCCTAGCTTAA GATTTGTTGATTTGTTTTTCCCTGGAATCACTTGGAAACATAGTATTATTTGGATAAGCC TTGTTCAATTTATTGTATACATAGCTACTTGTATTGTTGGGTCTTATGCATTATCTCCAT TTGTGACGACTTTAATAAAATTCCAAGCCAGTGTTCCCTCATTAGTTAAGGAGGGTCAAG TATGGAGACTTCTTGTTAGTCTTTTTTTACATGCATCAATTTGGCATATTGTTTTTAATA TAATATTTCAGATAAGACTTTCTTTATCATGCGAAGTAAAATATGGAAGAATTCTTAATT TCACAATTTACTTTATTTCAGGACTTCTTGGAAATCTCTTTTCAGTTGCCATTAGAAGTA GCTGCGTTGTAGCAGTTGGTGCATCCACCTCAGGTTTTGGATTAATTGGAGCACAACTTG CAGAACTAATCTTATTTTGGCATACTTTACAAAACAAAGAACAAGTGGTTATTAATATAC TCCTTTTTGGAATACTTATGATTTTGATTACTTGGGGAAACCCATCATCAGCTATTGATC ACTGGGGTCATATTGGAGGATTCGTTTCTGGTACTTGTCTTGGAATTATATGCAATTTTA AGTCAGATTTAAAGCCAAAATGGTATAAGGCTGCTTTTGGAGTTTCTATTGCTTTAATTT CATCTACTTTGATTGGTCCTATTATCAGAATATGGGCGTTTGAACTTGCTCCTTGTGTAG TTTTTCCAGAGAAACTTATGAATCCTTGAGA
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  • Fasta :-

    MSNIHRLSDLPPQRDSRSQSGRSFNNNDPGPSLRFVDLFFPGITWKHSIIWISLVQFIVY IATCIVGSYALSPFVTTLIKFQASVPSLVKEGQVWRLLVSLFLHASIWHIVFNIIFQIRL SLSCEVKYGRILNFTIYFISGLLGNLFSVAIRSSCVVAVGASTSGFGLIGAQLAELILFW HTLQNKEQVVINILLFGILMILITWGNPSSAIDHWGHIGGFVSGTCLGIICNFKSDLKPK WYKAAFGVSIALISSTLIGPIIRIWAFELAPCVVFPEKLMNP

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cgd3_980      



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