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Tang2019 - Pharmacology modelling of AURKB and ZAK interaction in TNBC


ABSTRACT: Aurora Kinase B and ZAK interaction model Equivalent of the stochastic model used in "Network pharmacology model predicts combined Aurora B and ZAK inhibition in MDA-MB-231 breast cancer cells" by Tang et. al. 2018. The only difference is cell division and partitioning of the components, which are available in the original model for SGNS2.

SUBMITTER: Krishna Kumar Tiwari  

PROVIDER: BIOMD0000000940 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Publications

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer.

Tang Jing J   Gautam Prson P   Gupta Abhishekh A   He Liye L   Timonen Sanna S   Akimov Yevhen Y   Wang Wenyu W   Szwajda Agnieszka A   Jaiswal Alok A   Turei Denes D   Yadav Bhagwan B   Kankainen Matti M   Saarela Jani J   Saez-Rodriguez Julio J   Wennerberg Krister K   Aittokallio Tero T  

NPJ systems biology and applications 20190708


Cancer cells with heterogeneous mutation landscapes and extensive functional redundancy easily develop resistance to monotherapies by emerging activation of compensating or bypassing pathways. To achieve more effective and sustained clinical responses, synergistic interactions of multiple druggable targets that inhibit redundant cancer survival pathways are often required. Here, we report a systematic polypharmacology strategy to predict, test, and understand the selective drug combinations for  ...[more]

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