High-throughput profiling methods (such as genomics or imaging) have accelerated basic
research and made deep molecular characterization of patient samples routine. These …

Natural products and their derivatives have been shown to be effective drug candidates
against various diseases for many years. Over a long period of time, nature has produced an …

The emergence of large-scale phenotypic, genetic, and other multi-model biochemical data
has offered unprecedented opportunities for drug discovery including drug repurposing …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

Background: Knowledge is evolving over time, often as a result of new discoveries or
changes in the adopted methods of reasoning. Also, new facts or evidence may become …

Introduction: Exploring the potential efficacy of a drug is a valid approach for drug
development with shorter development times and lower costs. Recently, several …

As is well-known, the process of developing new drugs is extremely expensive, whereas
drug repurposing represents a promising approach to augment the efficiency of new drug …

Abstract Opioid Use Disorder (OUD) is a chronic and relapsing condition characterized by
the misuse of opioid drugs, causing significant morbidity and mortality in the United States …

Drug side effects are closely related to the success and failure of drug development. Here
we present a novel machine learning method for side effect prediction. The proposed …

Identifying disease-gene associations is important for understanding molecule mechanisms
of diseases, finding diagnostic markers and therapeutic targets. Many computational …