ArticleACS omega2026
Leveraging Neural Networks to Correct FoldX Free Energy Estimates.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Fast and accurate prediction of folding stability and binding affinity due to protein mutations is a critical need in structural biology. While experimental methods are accurate, they are often time-consuming and costly. Computational approaches like FoldX offer fast and inexpensive alternatives by estimating free energy changes (ΔΔ
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Registered trials
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