次世代技術プラットフォームでがん創薬を加速 (Purdue Researchers Work to Accelerate Cancer Drug Discovery with Next-Gen Tech Platform)

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2026-06-17 パデュー大学

パデュー大学の研究チームは、がん治療薬の発見プロセスを大幅に効率化する次世代創薬プラットフォームの開発を進めている。従来の創薬では、有望な候補化合物の探索から有効性・安全性の評価までに多大な時間と費用が必要であり、新薬開発の大きな課題となっていた。そこで研究チームは、人工知能(AI)、高性能計算、自動化実験技術を統合した新たな技術基盤を構築し、創薬研究の高速化を目指している。このプラットフォームは、がん細胞や標的タンパク質に関する膨大な生物学的データを解析し、AIによって候補化合物の作用や毒性を予測する。また、ロボットによる自動化実験と組み合わせることで、計算予測と実験検証を迅速に繰り返し、有望な薬剤候補を効率的に絞り込むことが可能となる。さらに、患者ごとの遺伝子情報や疾患特性を考慮した個別化医療への応用も期待されている。研究チームは、この技術によって新規抗がん剤の開発期間短縮や成功率向上を図るとともに、将来的には他の難治性疾患の創薬にも展開したいとしている。本研究は、AIと生命科学を融合した次世代創薬の実現に向けた重要な取り組みである。

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新世代超高スループット質量分析プラットフォームを用いた初期段階の創薬 Early-stage drug discovery in a new-generation ultrahigh-throughput mass spectrometry platform

Nicolás M. Morato, Yunfei Feng, Kitmin Chen, +17 , and R. Graham Cooks
Proceedings of the National Academy of Sciences  Published:June 2, 2026
DOI;https://doi.org/10.1073/pnas.2536552123

次世代技術プラットフォームでがん創薬を加速 (Purdue Researchers Work to Accelerate Cancer Drug Discovery with Next-Gen Tech Platform)

Significance

Drug discovery requires both synthesis and bioactivity testing of a vast number of compounds. However, the scale and speed at which these two operations have been carried out historically are significantly mismatched, with efforts toward making new molecules typically running way behind those focused on testing them. Here we describe an automated system that addresses this bottleneck by combining reaction screening, small-scale synthesis, and bioactivity assessment with matched throughputs. This consolidation is achieved by leveraging accelerated microdroplet reactions and ambient mass spectrometry together with automated robotics and data analysis. In this work, we provide an overview of the design and construction of this system, illustrate its capabilities across the drug discovery pipeline, and present a perspective on its wider applicability.

Abstract

Early-stage drug discovery involves a complex set of processes that typically requires iterative exploration of a vast chemical-biological search space. Over the past few decades, these processes have been facilitated using automated experimentation in the form of high-throughput screening technologies for hit discovery via large-scale biochemical assays of candidate libraries. However, optimized generation of small-molecule candidates is still largely limited to traditional synthetic chemistry workflows, thus representing a bottleneck in the discovery endeavor. Here we describe and demonstrate the capabilities of a next-generation automated ultrahigh-throughput system based on desorption electrospray ionization (DESI) mass spectrometry (MS), which consolidates key activities of early drug discovery: i) organic reaction screening for routes to new candidates, ii) small-scale synthesis following optimized reactions, and iii) bioactivity assessment of the newly generated compounds in a direct-to-biology (i.e., product purification-free) fashion. Importantly, the first two synthetic steps leverage accelerated reactions in microdroplets for on-the-fly synthesis followed by in operando MS analysis or small-scale collection, whereas the later bioanalytical application relies on the label-free nature of MS as well as the contactless and complex-matrix-tolerant nature of DESI. Altogether, this fully automated technology, which has a combined synthetic/analytical throughput of up to ~3 Hz using (sub)nanogram sample amounts (and ca. 6 mHz at the milligram-level synthetic scale), has the potential to accelerate translational efforts via a single-platform closed-loop discovery cycle whose main aspects are illustrated herein, including the demonstration of increases in the biological activity of drug-substance analogs generated in the course of a complete DESI-based direct-to-biology campaign.

有機化学・薬学
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