Assessment of Protein Model Structure Accuracy Estimation in CASP14: Old and New Challenges
By Sohee Kwon, Jonghun Won, Andriy Kryshtafovych, Chaok Seok. 2021
51 citations recorded by the source corpus.
In CASP, blind testing of model accuracy estimation methods has been conducted on models submitted by tertiary structure prediction servers. In CASP14, model accuracy estimation results were evaluated in terms of both global and local structure accuracy, as in the previous CASPs. Unlike the previous CASPs that did not show pronounced improvements in performance, the best single‐model method (from the Baker group) showed an improved performance in CASP14, particularly in evaluating global structure accuracy when compared to both the best single‐model methods in previous CASPs and the best multi‐model methods in the current CASP. Although the CASP14 experiment on model accuracy estimation did not deal with the structures generated by AlphaFold2, new challenges that have arisen due to the success of AlphaFold2 are discussed.
Subfields: Materials Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Andriy Kryshtafovych
- Torsten Schwede
- Krzysztof Fidelis
- Yang Zhang
- John Moult
- Bohdan Monastyrskyy
- Maya Topf
- Rhiju Das
In Molecular Biology
- Andriy Kryshtafovych
- Torsten Schwede
- Yang Zhang
- Krzysztof Fidelis
- John Moult
- Bohdan Monastyrskyy
- Rhiju Das
- R. Rangan
Citations in the corpus
- Assessment of three-dimensional RNA structure prediction in CASP15 (2023, neutral): “13,38 For each target and for each of the considered metrics, the Z -score (difference with the mean, normalized by the standard deviation) was calculated by taking the mean and standard deviation for the best model from each group with respect to each considered metric.”
- New prediction categories in CASP15 (2023, methodology): “48 It has attracted the attention of many developers, with over 70 methods tested in the previous CASP experiment.”
- State-of-the-Art Estimation of Protein Model Accuracy Using AlphaFold (2022, methodology): “To assess the decoy-ranking ability of AlphaFold on a novel sample of proteins, we performed an additional evaluation on the Estimation of Model Accuracy (EMA) task from CASP14 (18).”