The promise of drug repurposing is to accelerate the translation of knowledge to treatment of
human disease, bypassing common challenges associated with drug development to be …

Promising drug development efforts may frequently fail due to unintended adverse reactions.
Several methods have been developed to analyze such data, aiming to improve …

In some cases, drug combinations affect adverse outcome phenotypes by binding the same
protein; however, drug‐binding proteins are associated through protein–protein interaction …

With high drug attrition, protein–protein interaction (PPI) network models are attractive as
efficient methods for predicting drug outcomes by analyzing proteins downstream of drug …

Introduction When a new drug or biologic product enters the market, its full spectrum of side
effects is not yet fully understood, as use in the real world often uncovers nuances not …

Modeling tools aim to predict potential drug side effects, although they suffer from imperfect
performance. Specifically, protein–protein interaction models predict drug effects from …

Schizophrenia is a debilitating condition necessitating more efficacious therapies. Previous
studies suggested that schizophrenia development is associated with aberrant synaptic …

Introduction: Development of drugs often fails due to toxicity and intolerable side effects.
Recent advancements in the scientific community have rendered it possible to leverage …

Objectives We sought to cluster biological phenotypes using semantic similarity and create
an easy-to-install, stable, and reproducible tool. Materials and Methods We generated …

Limited efficacy and intolerable safety limit therapeutic development and identification of
potential liabilities earlier in development could significantly improve this process …