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Researchers are betting that AI and automation can cut drug discovery from five years to six months: Automating antivirals
IEEE Spectrum ( IF 3.1 ) Pub Date : 2020-10-01 , DOI: 10.1109/mspec.2020.9205548
Megan Scudellari

WITHIN MOMENTS OF MEETING EACH OTHER at a conference last year, Nathan Collins and Yann Gaston-Mathé began devising a plan to work together. Gaston-Mathé runs a startup that applies automated software to the design of new drug candidates. Collins leads a team that uses an automated chemistry platform to synthesize new drug candidates. • “There was an obvious synergy between their technology and ours,” recalls Gaston-Mathé, CEO and cofounder of Paris-based Iktos. • In late 2019, the pair launched a project to create a brand-new antiviral drug that would block a specific protein exploited by influenza viruses. Then the COVID-19 pandemic erupted across the world stage, and Gaston-Mathé and Collins learned that the viral culprit, SARS-CoV-2, relied on a protein that was 97 percent similar to their influenza protein. The partners pivoted. • Their companies are just two of hundreds of biotech firms eager to overhaul the drug-discovery process, often with the aid of artificial intelligence (AI) tools. The first set of antiviral drugs to treat COVID-19 will likely come from sifting through existing drugs. Remdesivir, for example, was originally developed to treat Ebola, and it has been shown to speed the recovery of hospitalized COVID-19 patients. But a drug made for one condition often has side effects and limited potency when applied to another. If researchers can produce an antiviral that specifically targets SARS-CoV-2, the drug would likely be safer and more effective than a repurposed drug.

中文翻译:

研究人员押注人工智能和自动化可以将药物发现时间从五年缩短到六个月:自动化抗病毒药物

在去年的一次会议上,内森·柯林斯 (Nathan Collins) 和扬·加斯顿·马斯 (Yann Gaston-Mathé) 在见面的瞬间开始制定合作计划。Gaston-Mathé 经营着一家初创公司,将自动化软件应用于新候选药物的设计。柯林斯领导的团队使用自动化化学平台合成新的候选药物。• “他们的技术与我们的技术之间存在明显的协同作用,”总部位于巴黎的 Iktos 的首席执行官兼联合创始人 Gaston-Mathé 回忆道。• 2019 年末,两人启动了一个项目,旨在开发一种全新的抗病毒药物,以阻断流感病毒利用的特定蛋白质。然后 COVID-19 大流行在世界舞台上爆发,加斯顿-马斯和柯林斯了解到,病毒的罪魁祸首 SARS-CoV-2 依赖于一种与流感蛋白 97% 相似的蛋白质。合作伙伴转向了。• 他们的公司只是渴望彻底改革药物发现过程的数百家生物技术公司中的两家,通常借助人工智能 (AI) 工具。第一套治疗 COVID-19 的抗病毒药物可能来自对现有药物的筛选。例如,瑞德西韦最初是为治疗埃博拉而开发的,它已被证明可以加速住院 COVID-19 患者的康复。但是,针对一种情况制造的药物在应用于另一种情况时通常会产生副作用且效力有限。如果研究人员能够生产出一种专门针对 SARS-CoV-2 的抗病毒药物,该药物可能会比重新利用的药物更安全、更有效。第一套治疗 COVID-19 的抗病毒药物可能来自对现有药物的筛选。例如,瑞德西韦最初是为治疗埃博拉而开发的,它已被证明可以加速住院 COVID-19 患者的康复。但是,针对一种情况制造的药物在应用于另一种情况时通常会产生副作用且效力有限。如果研究人员能够生产出一种专门针对 SARS-CoV-2 的抗病毒药物,该药物可能会比重新利用的药物更安全、更有效。第一套治疗 COVID-19 的抗病毒药物可能来自对现有药物的筛选。例如,瑞德西韦最初是为治疗埃博拉而开发的,它已被证明可以加速住院 COVID-19 患者的康复。但是,针对一种情况制造的药物在应用于另一种情况时通常会产生副作用且效力有限。如果研究人员能够生产出一种专门针对 SARS-CoV-2 的抗病毒药物,该药物可能会比重新利用的药物更安全、更有效。
更新日期:2020-10-01
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