Systematic review of computational methods for drug combination prediction.

ABSTRACT: Synergistic effects between drugs are rare and highly context-dependent and patient-specific. Hence, there is a need to develop novel approaches to stratify patients for optimal therapy regimens, especially in the context of personalized design of combinatorial treatments. Computational methods enable systematic in-silico screening of combination effects, and can thereby prioritize most potent combinations for further testing, among the massive number of potential combinations. To help researchers to choose a prediction method that best fits for various real-world applications, we carried out a systematic literature review of 117 computational methods developed to date for drug combination prediction, and classified the methods in terms of their combination prediction tasks and inpu

SUBMITTER: Kong W 

PROVIDER: S-EPMC9168078 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature