Network-based characterization of drug-protein interaction signatures with a space-efficient approach.

ABSTRACT:

Background

Characterization of drug-protein interaction networks with biological features has recently become challenging in recent pharmaceutical science toward a better understanding of polypharmacology.

Results

We present a novel method for systematic analyses of the underlying features characteristic of drug-protein interaction networks, which we call "drug-protein interaction signatures" from the integration of large-scale heterogeneous data of drugs and proteins. We develop a new efficient algorithm for extracting informative drug-protein interaction signatures from the integration of large-scale heterogeneous data of drugs and proteins, which is made possible by space-efficient representations for fingerprints of drug-protein pairs and sparsity-induced classifiers.

SUBMITTER: Tabei Y 

PROVIDER: S-EPMC6449886 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature