Category: Uncategorized
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A technically interesting AI and biology paper published on April 2, 2026 comes from Nature Methods and focuses on something deeper than simple classification. The paper introduces CREsted, a software framework for modeling and designing cell type specific enhancers directly from single cell chromatin accessibility data. In practice, that means using deep learning not just…
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AI Is Getting Better at Finding Useful Antibodies Without Screening Everything One of the most interesting biology and AI stories from the last couple of weeks is a March 15, 2026 Nature Communications paper on AI guided antibody discovery. The study describes a method for mining antibody functionality through structural landscape profiling, using AI to…
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One of the most technically interesting biology and AI stories of the last two weeks is a new Cell paper on a platform called GPS, short for Gene expression profile Predictor on chemical Structures. The core idea is unusually ambitious but easy to state: infer how a molecule will reshape gene expression by looking at…
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For years, the big promise of AI in biology was interpretation. Models could read papers, analyze genomic data, classify images, and suggest hypotheses faster than any human team. Over the last two weeks, the story has started to feel more concrete. The frontier is no longer just AI that understands biology. It is AI that…
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This week, a research team at the University of Illinois Urbana Champaign reported something that used to sound like science fiction: a full life cycle simulation of a living cell, from DNA replication and metabolism to growth and division. They did it for a genetically minimal bacterium, and they did it at nanoscale resolution, tracking…
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In the last couple of weeks, the most interesting shift in biology focused AI has not been a better single structure predictor. It is the jump from predicting shapes to predicting interactions and designing the parts that create them. A Nature report described a new proprietary drug discovery model from Isomorphic Labs that impressed researchers…
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Most data breaches fade with time. Passwords get rotated. Credit cards get replaced. Even medical facts can become stale. Genomic data is different because it is persistent, inherently identifying, and useful far beyond the context in which it was collected. Once a genome is out, it is out forever, and it can be linked back…
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AI is slowly becoming a real collaborator in understanding life. Over the past few months AI systems have gone from predicting structures or gene expression to actually helping design molecules, simulate cells, and guide lab experiments. Much of this progress comes from a new generation of foundation models in biology, massive systems trained on DNA,…
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A new paper published on arXiv, “Protein generation with embedding learning for motif diversification” (arXiv:2510.18790), introduces a new approach to protein design that combines deep learning embeddings with generative modeling. The paper is available at https://arxiv.org/abs/2510.18790 The study addresses a long-standing challenge in computational biology: generating new protein structures that preserve key functional motifs while…
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In the past two weeks, one of the world’s largest pharmaceutical companies made a move that signals a turning point for modern biotechnology. AstraZeneca announced a $555 million collaboration with Algen Biotechnologies, a company emerging from Jennifer Doudna’s Berkeley lab, to merge artificial intelligence with CRISPR-based gene editing. The partnership marks one of the most…
Maurizio Morri - Science Blog 