Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Protein‐protein interactions (PPIs) form the basis of a myriad of biological pathways and
mechanism, such as the formation of protein complexes or the components of signaling …

Target discovery is one of the essential steps in modern drug development, and the
identification of promising targets is fundamental for developing first-in-class drug. A variety …

Background Currently, no proven effective drugs for the novel coronavirus disease COVID-
19 exist and despite widespread vaccination campaigns, we are far short from herd …

The continuous adherence to the conventional “one target, one drug” paradigm has failed so
far to provide effective therapeutic solutions for heterogeneous and multifactorial diseases …

Conventional drug discovery requires identifying a protein target believed to be important for
disease mechanism and screening compounds for those that beneficially alter the target's …

Biological networks constructed from varied data can be used to map cellular function, but
each data type has limitations. Network integration promises to address these limitations by …

Despite advances in modern medicine that led to improvements in cardiovascular outcomes,
cardiovascular disease (CVD) remains the leading cause of mortality and morbidity globally …

The SARS-CoV-2 pandemic is a worldwide public health emergency. Despite the beginning
of a vaccination campaign, the search for new drugs to appropriately treat COVID-19 …

Biological networks have been widely used in many different diseases to identify potential
biomarkers and design drug targets. In the present review, we describe the main …