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Vecuraチームからの視点

AIを活用したライフサイエンス探索に関する研究分析、業界の視点、深掘り解説

Understanding AlphaFold: Revolutionizing Protein Folding

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Understanding AlphaFold: Revolutionizing Protein Folding

AlphaFold, developed by DeepMind, is an AI system that predicts protein structures from amino acid sequences with high accuracy using deep learning, significantly advancing protein folding research. Its impact spans drug discovery, disease research, and synthetic biology, and its open-access nature has fostered global scientific collaboration—making it a landmark example of AI's potential to tackle complex biological challenges.

Jun 30, 2026

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Can AI Replace 45 Hours of Manual Pose Inspection? A Covalent Docking Comparison

Covalent inhibitors occupy a unique space in drug discovery. By forming irreversible interactions with target residues, they can achieve sustained target engagement and prolonged pharmacological activity beyond what is often possible with non-covalent ligands. However, optimizing covalent scaffolds presents a distinct challenge: favorable binding affinity alone is insufficient. Productive activity depends on precise geometric alignment between the reactive warhead and the target nucleophile.

Jun 16, 2026

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Can We Trust Biomedical AI Agents? Benchmarking Quality, Safety, and Reliability

Biomedical agents are different from general chatbots. They are expected to understand scientific questions, retrieve biomedical knowledge, plan workflows, call computational tools, analyze outputs, and provide safety recommendations. Because of this, evaluating only the final answer is not enough.

Jun 16, 2026