Genome-wide association studies have identified many variants that each affects multiple
traits, particularly across autoimmune diseases, cancers and neuropsychiatric disorders …

Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

The COVID-19 pandemic has highlighted the need to quickly and reliably prioritize clinically
approved compounds for their potential effectiveness for severe acute respiratory syndrome …

Motivation The use of drug combinations, termed polypharmacy, is common to treat patients
with complex diseases or co-existing conditions. However, a major consequence of …

Egocentric network analysis is used widely across the social sciences, especially in
anthropology, political science, economics, and sociology, and is increasingly being …

INTRODUCTION A disease is rarely a straightforward consequence of an abnormality in a
single gene, but rather reflects the interplay of multiple molecular processes. The …

In the post-genomic era, the elucidation of the relationship between the molecular origins of
diseases and their resulting phenotypes is a crucial task for medical research. Here, we use …

Given the functional interdependencies between the molecular components in a human cell,
a disease is rarely a consequence of an abnormality in a single gene, but reflects the …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Complex biological systems and cellular networks may underlie most genotype to
phenotype relationships. Here, we review basic concepts in network biology, discussing …