Machine learning (ML) algorithms are necessary to efficiently identify potent drug
combinations within a large candidate space to combat drug resistance. However, existing …

Over the past century, the rise of antibiotic resistance (AR) has closely followed the
discovery of new antibiotics and has continued to increase as antibiotic development stalled …

Combination therapies can overcome antimicrobial resistance (AMR) and repurpose
existing drugs. However, the large combinatorial space to explore presents a daunting …

Pivotal work in recent years has cast light on the importance of the human microbiome in
maintenance of health and physiological response to drugs. It is now clear that …

Many of the diverse microorganisms throughout the human gastrointestinal system—
collectively referred to as the human gut microbiome—contribute to metabolizing drugs …

Drug combinations are a promising strategy to counter antibiotic resistance. However,
current experimental and computational approaches do not account for the entire complexity …

Alternative to the conventional search for single-target, single-compound treatments,
combination therapies can open entirely new opportunities to fight antibiotic resistance …

Motivation Human microbes play critical roles in drug development and precision medicine.
How to systematically understand the complex interaction mechanism between human …

To overcome the lengthy timelines, high costs, and inefficiencies associated with traditional
experimental approaches in predicting potential microbe-drug associations, we introduce a …

Antibiotics need to be effective in diverse environments in vivo. However, the pathogen
microenvironment can have a significant impact on antibiotic potency. Further, antibiotics are …