A*STAR Bioinformatics Institute (A*STAR BII)

Enhanced RNA-based profiling techniques reveal the outsized metabolic impacts of small microbial populations across the human body surface.

An anti-hypertension drug could potentially be repurposed as a more affordable treatment for liver cancer.

Self-looping molecules could be the key to unlocking the potential of RNA-based vaccines and therapies.

Through a blend of simulation, machine learning and advanced data analytics, digital twins are emerging as one of AI’s most powerful applications, transforming innovation cycles across a diverse range of industries.

An aroma-first cell culture process bypasses costly tissue growth to deliver a familiar flavour for meat lovers.

An early childhood study reveals that some genetic roots of obesity may also link to language-related neurodevelopment.

Integrating molecular insights from several omics profiling approaches, A*STAR research initiatives are deepening our understanding of human physiology and unearthing new diagnostic and therapeutic opportunities.

New insights on heat and acidity’s role in monoclonal antibody clumping pave the way for improved biotherapeutics production methods.

As artificial intelligence and other digital innovations continue to reshape the internet landscape, A*STAR is accelerating efforts to combat a new wave of safety risks from harmful online content and cyberattacks.

A new spatial multi-omics tool merges different levels of biological data from the same tissue sample to better differentiate finer details at different health states.

A new molecular dynamics study reveals how some stapled peptides shapeshift to slip through cellular barriers and target key disease-related proteins within cells.

A new machine learning tool could help predict cancer treatment outcomes for more effective and targeted treatments.