Drug interaction analysis, which reports the extent to which the presence of one drug affects
the efficacy of another, is a powerful tool to select potent combinatorial therapies and predict …

Pharmacological drug actions are often caused by multi‐target effects. While most of the
currently approved synthetic drugs were designed to interact with a single 'on‐target', these …

Explosion of the availability of big data sources along with the development in computational
methods provides a useful framework to study drugs' actions, such as interactions with …

Background Promiscuity in molecular interactions between small-molecules, including
drugs, and proteins is widespread. Such unintended interactions can be exploited to …

Antimicrobial resistance is one of the greatest challenges to global health. While the
development of new antimicrobials can combat resistance, low profitability reduces the …

Combination therapy is a promising approach to address the challenge of antimicrobial
resistance, and computational models have been proposed for predicting drug–drug …

Characterizing drug-drug interactions is important to improve efficacy and/or slow down the
evolution of antimicrobial resistance. Experimental methods are both time-consuming and …

Identifying microbe-drug associations is important to systematically understand a drug's
mechanism of action in the therapeutic application. Since identifying microbe-drug …

Affinity Fingerprinting Page 1 © 1995 Nature Publishing Group http://www.nature.com/naturebiotechnology
/BIOTOOLS Affinity Fingerprinting A novel approach to quantitative chemical classification …

Natural products, containing inherently large-scale structural diversity than synthetic
compounds, have been the major resources of bioactive agents and will continually play as …