ReviewEmerging topics in life sciences2025
What is the future role of quantum computation in drug discovery?
Review in Emerging topics in life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Applications of artificial intelligence in drug discovery.Emerging topics in life sciences · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantum computing promises to revolutionise a range of scientific fields by providing solutions to previously intractable problems. The link between the technology and applications in chemistry has made drug discovery a natural place to look for 'low-hanging fruit'. However, until recently, the lack of accessible, scalable hardware has led to comparisons with nuclear fusion. In this article, we describe how developments in both hardware and algorithms are bringing the time closer when quantum computing, as well a the innovations it inspires, adds real value to computational chemistry in real-world applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.