- Article metrics
- Last updated: Wed, 4 Feb 2026 2:16:33 Z
Investigating whether deep learning models for co-folding learn the physics of protein-ligand interactions
Access & Citations
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- 39k
- Article Accesses
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- Not available
- Citations
Citation counts are provided by Dimensions and depend on their data availability. Counts will update daily, once available.
Online attention
- 31 tweeters
- 2 blogs
- 19 news outlets
- 1 Wikipedia page
- 74 Mendeley
This article is in the 99th percentile (ranked 2,636th) of the 346,465 tracked articles of a similar age in all journals and the 95th percentile (ranked 89th) of the 2,037 tracked articles of a similar age in Nature Communications
View more on Altmetric
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
Mentions in news and blogs
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KI-Modelle fĂĽr Medikamentenentwicklung versagen bei der Physik
Informationsdienst Wissenschaft -
AI models for drug design fail in physics
Informationsdienst Wissenschaft -
AI models for drug design fail in physics
My Science -
AI models for drug design fail in physics
EurekAlert! -
AI Drug Design Models Miss Physics Mark
Mirage News -
Why AI Models for Drug Design Struggle with Physics
Bioengineer.org
This list highlights individual mainstream news articles and blogs that cite the article. Not all news and blogs link to articles in a way that Altmetric can pick up, so they are not representative of all media. Altmetric are responsible for the curation of this list and provide updates hourly.