Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …

Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …

Covering: 2011 to 2014 It is widely accepted that drug discovery often requires a systems-
level polypharmacology approach to tackle problems such as lack of efficacy and emerging …

A number of supervised machine learning models have recently been introduced for the
prediction of drug–target interactions based on chemical structure and genomic sequence …

We carried out a systematic evaluation of target selectivity profiles across three recent large-
scale biochemical assays of kinase inhibitors and further compared these standardized …

Drug combination therapy has the potential to enhance efficacy, reduce dose-dependent
toxicity and prevent the emergence of drug resistance. However, discovery of synergistic …

Traditional Chinese medicine (TCM) has been practiced for thousands of years for treating
human diseases. In comparison to modern medicine, one of the advantages of TCM is the …

Drug discovery faces an efficacy crisis to which ineffective mainly single-target and symptom-
based rather than mechanistic approaches have contributed. We here explore a mechanism …

Application of machine and deep learning methods in drug discovery and cancer research
has gained a considerable amount of attention in the past years. As the field grows, it …

Gene products or pathways that are aberrantly activated in cancer but not in normal tissue
hold great promises for being effective and safe anticancer therapeutic targets. Many …