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 …

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 …

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 …

Having made significant advancements in understanding living organisms at various levels
such as genes, cells, molecules, tissues, and pathways, the field of life sciences is now …

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 …

Circadian clocks confer 24-h periodicity to biological systems, to ultimately maximize energy
efficiency and promote survival in a world with regular environmental light cycles. In …

Biological networks are commonly used in biomedical and healthcare domains to effectively
model the structure of complex biological systems with interactions linking biological entities …