We are analyzing https://link.springer.com/article/10.1186/1471-2091-8-23.

Title:
The FTO (fat mass and obesity associated) gene codes for a novel member of the non-heme dioxygenase superfamily | BMC Biochemistry
Description:
Background Genetic variants in the FTO (fat mass and obesity associated) gene have been associated with an increased risk of obesity. However, the function of its protein product has not been experimentally studied and previously reported sequence similarity analyses suggested the absence of homologs in existing protein databases. Here, we present the first detailed computational analysis of the sequence and predicted structure of the protein encoded by FTO. Results We performed a sequence similarity search using the human FTO protein as query and then generated a profile using the multiple sequence alignment of the homologous sequences. Profile-to-sequence and profile-to-profile based comparisons identified remote homologs of the non-heme dioxygenase family. Conclusion Our analysis suggests that human FTO is a member of the non-heme dioxygenase (Fe(II)- and 2-oxoglutarate-dependent dioxygenases) superfamily. Amino acid conservation patterns support this hypothesis and indicate that both 2-oxoglutarate and iron should be important for FTO function. This computational prediction of the function of FTO should suggest further steps for its experimental characterization and help to formulate hypothesis about the mechanisms by which it relates to obesity in humans.
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Keywords {🔍}

fto, article, pubmed, protein, sequence, human, google, scholar, family, cas, function, gene, nonheme, analysis, obesity, alignment, structure, dioxygenase, amino, figure, sequences, information, mass, results, alkb, acids, bioinformatics, superfamily, localization, server, search, computational, generated, oxoglutarate, region, nuclear, web, central, authors, research, member, access, andradenavarro, homologs, multiple, homologous, dioxygenases, table, conserved, secondary,

Topics {✒️}

nuclear localization signal reverse dna/rna damage fold assignment results article sanchez-pulido luis sanchez-pulido article download pdf profile-based neural networks sequence similarity search dna-repair protein alkb nuclear-cytoplasmic localization de/hhpred] soding secondary structure predictions hypoxia-inducible factor-1alpha hhpred server fold recognition analyses profile-based sequence searches related web resources /r-rich region conserved n-terminal conserved region inducible nuclear translocation protein localization predictor nail-network analysis interface fto n-terminal region amino acid conservation fold recognition analysis protein cellular localization org/] sanchez-pulido privacy choices/manage cookies joint genome institute canada research chair authors’ original file andrade-navarro faculty hidden markov models dimensional protein structure full size image hypoxia-inducible factor andrade-navarro ma n-terminal region nat rev cancer predictprotein server [25 human abh3 structure signal transduction full access existing protein databases n-terminal extension amino acids involved heme dioxygenase superfamily identified sequences homologous nat chem biol blast server

Questions {❓}

Iyer LM, Aravind L, Coon SL, Klein DC, Koonin EV: Evolution of cell-cell signaling in animals: did late horizontal gene transfer from bacteria have a role?
Ozer A, Bruick RK: Non-heme dioxygenases: cellular sensors and regulators jelly rolled into one?

Schema {🗺️}

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         description:Genetic variants in the FTO (fat mass and obesity associated) gene have been associated with an increased risk of obesity. However, the function of its protein product has not been experimentally studied and previously reported sequence similarity analyses suggested the absence of homologs in existing protein databases. Here, we present the first detailed computational analysis of the sequence and predicted structure of the protein encoded by FTO. We performed a sequence similarity search using the human FTO protein as query and then generated a profile using the multiple sequence alignment of the homologous sequences. Profile-to-sequence and profile-to-profile based comparisons identified remote homologs of the non-heme dioxygenase family. Our analysis suggests that human FTO is a member of the non-heme dioxygenase (Fe(II)- and 2-oxoglutarate-dependent dioxygenases) superfamily. Amino acid conservation patterns support this hypothesis and indicate that both 2-oxoglutarate and iron should be important for FTO function. This computational prediction of the function of FTO should suggest further steps for its experimental characterization and help to formulate hypothesis about the mechanisms by which it relates to obesity in humans.
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      headline:The FTO (fat mass and obesity associated) gene codes for a novel member of the non-heme dioxygenase superfamily
      description:Genetic variants in the FTO (fat mass and obesity associated) gene have been associated with an increased risk of obesity. However, the function of its protein product has not been experimentally studied and previously reported sequence similarity analyses suggested the absence of homologs in existing protein databases. Here, we present the first detailed computational analysis of the sequence and predicted structure of the protein encoded by FTO. We performed a sequence similarity search using the human FTO protein as query and then generated a profile using the multiple sequence alignment of the homologous sequences. Profile-to-sequence and profile-to-profile based comparisons identified remote homologs of the non-heme dioxygenase family. Our analysis suggests that human FTO is a member of the non-heme dioxygenase (Fe(II)- and 2-oxoglutarate-dependent dioxygenases) superfamily. Amino acid conservation patterns support this hypothesis and indicate that both 2-oxoglutarate and iron should be important for FTO function. This computational prediction of the function of FTO should suggest further steps for its experimental characterization and help to formulate hypothesis about the mechanisms by which it relates to obesity in humans.
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         Secondary Structure Prediction
         Bipartite Nuclear Localization Signal
         Fold Assignment
         HHpred Server
         Biochemistry
         general
         Life Sciences
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