A large‐scale experiment to assess protein structure prediction methods

By John Moult, J. Pedersen, Richard S. Judson, Krzysztof Fidelis. 1995

Subfields: Evaluation & Benchmarks, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

In Computational Biology & Bioinformatics

Citations in the corpus

Critical Assessment of Methods of Protein Structure Prediction (CASP) – Progress and New directions in Round XI (2016, background): “(2) Refinement of initial protein models, primarily using molecular dynamics related approaches, has now advanced to the point where the best methods can consistently (though slightly) improve nearly all models.”
Protein 3D Structure Computed from Evolutionary Sequence Variation (2011, methodology): “Progress in this field has been expertly assessed by the pioneering community effort, the Critical Assessment of Techniques for Protein Structure Prediction (CASP), founded by Krzysztof Fidelis, John Moult and their colleagues in 1994 [69,70,71], www.”
End-to-end differentiable learning of protein structure (2018, background): “Partly to address this problem, the critical assessment of protein structure prediction (CASP) (Moult et al., 1995) was organized to assessmethods in a blinded fashion, by testing predictors using sequences of solved structures that have not been publicly released.”
Critical assessment of methods of protein structure prediction—Round VII (2007, neutral): “The remainder are residue– residue contacts (1,561), domain assignments (2,515), disorder predictions (1,801), function predictions (1,930), and three-dimensional model quality predictions (3,228).”
WILDS: A Benchmark of in-the-Wild Distribution Shifts (2020, neutral): “CASP is a bi-annual competition to benchmark the progress of protein folding (Moult et al., 1995), and it evaluates predictions made on proteins whose 3D structures are identified very recently, presenting a natural temporal distribution shift.”
The protein folding problem. (2008, background): “In 1994, John Moult invented CASP (Critical Assessment of Techniques for Protein Structure Prediction) (165), a biennial, community-wide blind test to predict the unknown structures of Dill et al.”
Protein storytelling through physics (2020, background): “But the field was advanced enormously in 1994 when John Moult introduced a new type of community-wide blindtest event (80).”
Contact Potential for Structure Prediction of Proteins and Protein Complexes from Potts Model. (2018, background): “Models submitted to the CASP competition (86) are believed to be the most challenging (87) and have been recently used by others to benchmark their statistical potentials (79,88).”
Analysis of CASP8 targets, predictions and assessment methods (2009, methodology): “In the early days of CASP, targets were classified and evaluated in three general categories: comparative modeling, fold recognition and ab initio prediction, to reflect the method used to obtain models (1, 19).”
Deep convolutional networks for quality assessment of protein folds (2018, methodology): “Progress in the ﬁeld is monitored through the Critical Assessment of protein Structure Prediction (CASP) competition [2], in which protein folding methods are evaluated in terms of their accuracy at predicting structures ahead of their publication.”
Topology Evaluation of Models for Difficult Targets in the 14th Round of the Critical Assessment of Protein Structure Prediction (CASP14) (2021, methodology): “The Critical Assessment of Structure Prediction (CASP) provides a critical evaluation of state-of-the-art methods in predicting protein structure from sequence.(1) CASP provides amino acid sequences corresponding to target structures withheld from the public, and pre-”