Proteins are the main targets of most drugs; however, system-wide methods to monitor
protein activity and function are still underused in drug discovery. Novel biochemical …

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 …

Drug discovery relies on the knowledge of not only drugs and targets, but also the
comparative agents and targets. These include poor binders and non-binders for developing …

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and
biotechnology industries for its ability to model biomolecular structures, the functional …

Artificial intelligence (AI) has been transforming the practice of drug discovery in the past
decade. Various AI techniques have been used in many drug discovery applications, such …

Academic research plays a key role in identifying new drug targets, including understanding
target biology and links between targets and disease states. To lead to new drugs, however …

Multi-omics approaches are novel frameworks that integrate multiple omics datasets
generated from the same patients to better understand the molecular and clinical features of …

There are multiple reasons why the next generation of biological and medical studies
require increasing numbers of samples. Biological systems are dynamic, and the effect of a …

Sprouts and microgreens have attracted tremendous interest across multiple disciplines in
recent years. Here, we critically review the most recent advances to underscore research …

Advances in areas that include genomics, systems biology, protein structure determination
and artificial intelligence provide new opportunities for target-based antibacterial drug …