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Top accuracy of protein structure predictions at CASP competitions

About this data

Source
AI Index (2022) – processed by Our World in Data
Last updated
December 1, 2022
Date range
2006–2020

Sources and processing

This data is based on the following sources

AI Index – AI Index Report

The AI Index is an independent initiative at the Stanford University Institute for Human-Centered Artificial Intelligence.

The mission of the AI Index is "to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI."

Their flagship output is the annual AI Index Report, which has been published since 2017.

Retrieved on
December 1, 2022
Retrieved from
https://aiindex.stanford.edu/report/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, "The AI Index 2022 Annual Report," AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022.

The AI Index is an independent initiative at the Stanford University Institute for Human-Centered Artificial Intelligence.

The mission of the AI Index is "to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI."

Their flagship output is the annual AI Index Report, which has been published since 2017.

Retrieved on
December 1, 2022
Retrieved from
https://aiindex.stanford.edu/report/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, "The AI Index 2022 Annual Report," AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022.

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Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Top accuracy of protein structure predictions at CASP competitions”. Our World in Data (2026). Data adapted from AI Index. Retrieved from https://archive.ourworldindata.org/20260512-085513/grapher/protein-folding-prediction-accuracy.html [online resource] (archived on May 12, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

AI Index (2022) – processed by Our World in Data

Full citation

AI Index (2022) – processed by Our World in Data. “Top accuracy of protein structure predictions at CASP competitions” [dataset]. AI Index, “AI Index Report” [original data]. Retrieved May 12, 2026 from https://archive.ourworldindata.org/20260512-085513/grapher/protein-folding-prediction-accuracy.html (archived on May 12, 2026).

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