From word models to executable models of signaling networks using automated assembly

Abstract Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to building computational models directly fro...

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Bibliographic Details
Main Authors: Benjamin M Gyori, John A Bachman, Kartik Subramanian, Jeremy L Muhlich, Lucian Galescu, Peter K Sorger
Format: Article
Language:English
Published: Springer Nature 2017-11-01
Series:Molecular Systems Biology
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Online Access:https://doi.org/10.15252/msb.20177651
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