AlphaFold transformed biology by predicting the three-dimensional structures of proteins. A new system called AlphaProtein Novo takes a very different step: instead of predicting proteins that already exist, it attempts to design entirely new enzymes with functions requested by researchers. The system uses machine learning to build both protein structure and amino-acid sequence around a […]
Two important scientific developments, published last week, offer a glimpse of where prostate cancer research could be heading, even though both remain firmly in the experimental or preclinical arena. The first comes from Adelaide University, where researchers have developed “smart” lipid nanoparticles designed to reprogramme tumour-associated macrophages, immune cells that cancers can exploit to suppress […]
A huge international team has just completed the largest study ever on how our genes control the levels of proteins circulating in our blood. The work, led by researchers at Queen Mary University of London and the Berlin Institute of Health, brings together data from more than 78,000 people across 38 cohorts worldwide and has […]
CellVoyager shows that AI can move from “run what I tell you” to “decide what’s worth doing next” in data analysis for single‑cell RNA‑seq. It acts like a junior comp‑bio postdoc: it reads your background, sees which analyses you already did, plans additional steps, runs them, and proposes biological hypotheses such as new pathway associations […]
Imagine you have a long string of DNA code, a million letters long. A new AI tool called AlphaGenome reads that code and predicts exactly what it does. It tells you how active genes are, how DNA folds open or closed, where proteins stick to it, and even how far-apart parts of DNA touch each […]
Researchers at Tsinghua University in China have created DrugCLIP, an AI system that finds potential new medicines millions of times faster than old methods. Traditional drug discovery uses slow computer simulations to check if a small molecule fits into a protein’s binding pocket, the spot where drugs attach to block or change a protein’s action […]
Insilico Medicine has nominated ISM3830, a potentially best-in-class oral CBLB inhibitor discovered through its proprietary Chemistry42 AI platform, as a preclinical candidate for advanced cancer immunotherapy. This novel molecule targets Casitas B-lineage lymphoma-b (CBLB), an intracellular E3 ubiquitin ligase that acts as a master negative regulator of T-cell and natural killer (NK) cell activation, distinct […]
The modern small‑molecule rarely acts through a single, invariant target, and DeepTarget is a new computational framework that embraces this reality by mapping both direct and indirect anti‑cancer mechanisms across diverse cellular contexts. Developed by researchers at Sanford Burnham Prebys and collaborators, DeepTarget integrates large‑scale drug viability screens, genome‑wide CRISPR knockout data, and matched omics […]
At the ESMO Congress 2025 held in Berlin, artificial intelligence demonstrated a pivotal role in reshaping cancer treatment through novel biomarker applications. Studies presented at this event showed how AI models analyzing pathology images, imaging data, and genomic profiles can improve predictions of patient responses to therapies. For example, in metastatic colorectal cancer, AI identified […]
A collaboration between Yale University and Google DeepMind has led to a rare scientific milestone: an artificial intelligence system that not only analyzed biological data but also generated and experimentally validated a new hypothesis for cancer treatment. Announced on October 15, 2025, the 27‑billion‑parameter foundation model, called Cell2Sentence‑Scale 27B, was developed to interpret single‑cell RNA […]
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