# AlphaFold predictions of fold-switched conformations are driven by structure memorization

*PRI Rank #14 · Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026/rank-14*

| Field | Value |
| --- | --- |
| Rank | #14 |
| 18m citations | 112 |
| Journal | Nature Communications |
| Year | 2024 |
| DOI | 10.1038/s41467-024-51801-z |
| Corresponding authors | Lauren L. Porter |
| Institution | National Institutes of Health, United States |

**Ranking page:** [Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026](https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026)

**Paper link:** [10.1038/s41467-024-51801-z](https://doi.org/10.1038/s41467-024-51801-z)

## Topics

AlphaFold · fold-switching proteins · structure memorization · Protein energetics · conformational diversity · AF2 · AF3 · Confidence score · training-set structures · coevolutionary restraints · secondary structure transitions · tertiary structure transitions · Protein structure prediction · Conformational sampling · Protein energetics · Conformational sampling · Physics-based methods · model discrimination · high energy conformations · low energy conformations

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Computational Drug Discovery Methods Papers, Class of 2026. https://pri.pepkio.com/top-papers/computational-drug-discovery-methods/2026. Accessed 2026-07-22.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```