For more than a decade, artificial intelligence has been touted as a way to dramatically accelerate drug discovery. Yet ...

Drug-drug interactions (DDIs) remain a critical challenge in both clinical practice and the drug discovery process, given their potential to produce unforeseen adverse effects and compromise patient ...

No approved drug, clinical-stage asset, or competing research program targets the mechanisms that Liquid's Emerge platform identifies. FRAMINGHAM, MA / ACCESS Newswire / June 9, 2026 / Ignite ...

A drug once dismissed as ineffective suddenly worked—when scientists tested it under more realistic conditions that mimic the ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

The researchers identified complex interactions between seven of these 18 proteins and 19 known drug targets for MS, as well as interactions among 11 of these proteins within and between plasma and ...

A new study from Northwestern University demonstrates that human biological conditions, such as temperature and calcium ...

A new method screens large libraries of synthetic cyclic peptides to identify compounds that can enter cells for therapeutic effect.

Region-specific biomarkers FGFR4, FLT1, and WNT5A are linked to tumor behavior and therapeutic response in CRC. Comprehensive genomic profiling (CGP) aids in precision medicine by identifying genetic ...

Many diseases are driven by proteins interacting with each other inside cells. But blocking these interactions with drugs is difficult because typical "small-molecule" drugs often prove to be too ...