For complex diseases, most drugs are highly ineffective, and the success rate of drug
discovery is in constant decline. While low quality, reproducibility issues, and translational …

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 …

Identification of new drug–target interactions (DTIs) is an important but a time-consuming
and costly step in drug discovery. In recent years, to mitigate these drawbacks, researchers …

The diversity of nodes in a complex network causes each node to have varying significance,
and the important nodes often have a significant impact on the structure and function of the …

Real-world networks often consist of millions of heterogenous elements that interact at
multiple timescales and length scales. The fields of statistical physics and control theory both …

A reflection of our ultimate understanding of a complex system is our ability to control its
behavior. Typically, control has multiple prerequisites: it requires an accurate map of the …

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 …

Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …

A gene can be defined as essential when loss of its function compromises viability of the
individual (for example, embryonic lethality) or results in profound loss of fitness. At the …

What can we learn about controlling a system solely from its underlying network structure?
Here we adapt a recently developed framework for control of networks governed by a broad …