A*STAR Bioinformatics Institute (A*STAR BII)

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.

A new artificial intelligence tool helps scientists uncover how cells communicate within tissues, paving the way for more targeted treatments for diseases like cancer.

In recognition of their scientific contributions and impact both locally and globally, 14 leading researchers have been awarded the 2024 A*STAR Fellowship.

A comprehensive genomic map reveals how certain genes regulate key cells in blood sugar control, offering new insights for future diabetes treatments.

A new algorithm, BANKSY, expands our understanding of cellular diversity by revealing how cells are influenced by interactions with their neighbours.

A*STAR researchers develop new tools to speed up the development of potent enzymes for oxidising complex alcohol molecules, providing more options for a challenging synthesis step in sustainable chemical manufacturing.

A*STAR researchers discovered a potential new treatment for severe eczema by targeting a protein that regulates immune cell activity.

Antibodies in mucous membranes may be key in protecting against SARS-CoV-2 variants, pointing to the need for COVID-19 vaccines that target these antibody responses.

A high-resolution study of SARS-CoV-2 antibodies revealed how they neutralise variants and reduce the impact of spike protein mutations.

A new machine learning model identifies key dementia features from complex clinical datasets, potentially making diagnoses faster and less subjective.

Innovative designer molecules called stapled peptides effectively target and block cancer processes, promising a new therapeutic approach.