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INCORPORATION OF FUSION GENES INTO PPI NETWORK TARGET SELECTION VIA GIBBS HOMOLOGY
INCORPORATION OF FUSION GENES INTO PPI NETWORK TARGET SELECTION VIA GIBBS HOMOLOGY
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机译：通过Gibbs同源性将融合基因整合到PPI网络目标选择中
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摘要
A method for selecting a molecular target for therapeutic application involves accessing omic information and protein-protein interaction (PPI) data including a network of protein nodes. The method further involves computing a Gibbs free energy for each protein node within the network of protein nodes using the omic information and the PPI data, interpreting information for one or more products of gene fusion from the omic information as one or more gene fusion protein probabilities, and converting the one or more gene fusion protein probabilities into one or more gene fusion protein networks based on a Fermi distribution. The method also involves taking a union of the network of protein nodes with the one or more gene fusion protein networks and generating an energy landscape corresponding to the union of the network of protein nodes with the one or more gene fusion protein networks, and the Gibbs free energy.
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