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 …

Systems biology is an inclusive approach to study the static and dynamic emergent
properties on a global scale by integrating multiomics datasets to establish qualitative and …

Over a decade ago, a new discipline called network medicine emerged as an approach to
understand human diseases from a network theory point-of-view. Disease networks proved …

One of the most challenging puzzles in drug discovery is the identification and
characterization of candidate drug of well-balanced profile between efficacy and safety. So …

Biological networks have garnered widespread attention. The development of biological
networks has spawned the birth of a new interdisciplinary field–network biology. Network …

Background Non-small cell lung cancer (NSCLC) is one of the leading causes of death
globally, and research into NSCLC has been accumulating steadily over several years. Drug …

Target selection is the first and pivotal step in drug discovery. An incorrect choice may not
manifest itself for many years after hundreds of millions of research dollars have been spent …

Protein-protein interactions integrated with disease-gene associations represent important
information for revealing protein functions under disease conditions to improve the …

Success in extracting biological relationships is mainly dependent on the complexity of the
task as well as the availability of high-quality training data. Here, we describe the new …

Molecular networks represent the interactions and relations of genes/proteins, and also
encode molecular mechanisms of biological processes, development and diseases. Among …