Bipartite network models to design combination therapies in acute myeloid leukaemia.

ABSTRACT: Combination therapy is preferred over single-targeted monotherapies for cancer treatment due to its efficiency and safety. However, identifying effective drug combinations costs time and resources. We propose a method for identifying potential drug combinations by bipartite network modelling of patient-related drug response data, specifically the Beat AML dataset. The median of cell viability is used as a drug potency measurement to reconstruct a weighted bipartite network, model drug-biological sample interactions, and find the clusters of nodes inside two projected networks. Then, the clustering results are leveraged to discover effective multi-targeted drug combinations, which are also supported by more evidence using GDSC and ALMANAC databases. The potency and synergy levels of selecti

SUBMITTER: Jafari M 

PROVIDER: S-EPMC9018865 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature