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10 articles
GSK and Relation Therapeutics have formed a $110 million collaboration to generate large-scale biological datasets for AI drug discovery, emphasizing the critical role of high-quality data in advancing AI models.
Learn how to analyze molecular structures and predict drug properties using Python and AI techniques, a foundational skill for AI drug discovery.
Learn how to build molecular fingerprint generators using RDKit and Python, a fundamental technique in AI drug discovery pipelines.
Learn how artificial intelligence is revolutionizing drug discovery by helping scientists find new medicines faster and more efficiently than ever before.
This article explains how AI-driven drug discovery works and why Insilico Medicine's advancement of an AI-discovered IPF treatment to Phase III trials represents a significant milestone in computational medicine.
This article explains how a scaffold-split Random Forest QSAR model, combined with tools like ChEMBL, RDKit, SHAP, and BRICS, can autonomously identify and design novel EGFR inhibitors, demonstrating advanced AI applications in drug discovery.
Takeda has entered a $600 million AI drug discovery collaboration with Insilico Medicine, leveraging AI to accelerate early-stage drug development across multiple therapeutic areas.
This article explains how AI-powered drug discovery models work and why integrating them into accessible platforms like Claude represents a major breakthrough in pharmaceutical research accessibility.
ByteDance's Anew Labs, known for building TikTok's recommendation algorithm, is now using AI to design drugs for previously 'undruggable' diseases.
Learn how to use AI-powered tools for drug discovery by analyzing molecular structures and predicting drug properties using Python and machine learning.
