人工智能驱动药物发现的战略伙伴关系:关系动力学的作用。

IF 6.5 2区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Discovery Today Pub Date : 2024-11-14 DOI:10.1016/j.drudis.2024.104242
Stefan Kint, Wilfred Dolfsma, Douglas Robinson
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引用次数: 0

摘要

人工智能驱动的药物发现(AIDD)公司在改变制药开发方面大有可为,但人们对它们如何管理与成熟制药公司的合作关系却知之甚少。为了填补这一研究空白,我们的研究探讨了人工智能驱动的新药研发公司如何发展和利用关系能力来提高合作效率。通过案例研究方法,我们重点关注了四个关键的关系方面:识别互补能力、建立有效的管理机制、创造特定关系资产以及发展公司间知识共享常规。我们的研究结果表明,知识产权的有效管理对于合作关系的成功至关重要。我们为 AIDD 公司加强合作提供了可行的建议,从而有助于实现人工智能在药物发现方面的潜力。
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Strategic partnerships for AI-driven drug discovery: The role of relational dynamics.

Artificial intelligence-driven drug discovery (AIDD) companies hold significant promise for transforming pharmaceutical development, yet little is known about how they manage partnerships with established pharmaceutical firms. To address this research gap, our study explores how AIDD companies develop and leverage relational capabilities to enhance collaboration effectiveness. Through a case study approach, we focus on four key relational aspects: identifying complementary capabilities, establishing effective governance mechanisms, creating relationship-specific assets, and developing interfirm knowledge-sharing routines. Our findings demonstrate that particularly effective governance of intellectual property is essential for partnership success. We offer actionable recommendations for AIDD companies to strengthen collaborations, thereby contributing to the realization of AI's potential in drug discovery.

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来源期刊
Drug Discovery Today
Drug Discovery Today 医学-药学
CiteScore
14.80
自引率
2.70%
发文量
293
审稿时长
6 months
期刊介绍: Drug Discovery Today delivers informed and highly current reviews for the discovery community. The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed. Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.
期刊最新文献
Mapping epilepsy biomarkers: a bibliometric and content analysis. Efficacy and challenges involving combination therapies in CLL. Strategic partnerships for AI-driven drug discovery: The role of relational dynamics. Antibody-drug conjugates: prospects for the next generation. Improving access to domestic innovative medicines: characteristics and trends of approved drugs in China 2010-2024.
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