CAD‐score: A new contact area difference‐based function for evaluation of protein structural models
By Kliment Olechnovic, Eleonora Kulberkytė, Č. Venclovas. 2013
147 citations recorded by the source corpus.
Subfields: Biomedical Engineering, 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 Biomedical Engineering
- Torsten Schwede
- Andriy Kryshtafovych
- Krzysztof Fidelis
- Bohdan Monastyrskyy
- John Moult
- Anna Tramontano
- Alessandro Barbato
- Marco Biasini
In Molecular Biology
- Torsten Schwede
- Andriy Kryshtafovych
- Yang Zhang
- Liam J. McGuffin
- Björn Wallner
- Krzysztof Fidelis
- Bohdan Monastyrskyy
- Arne Elofsson
Citations in the corpus
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests (2013, methodology): “To overcome some of the limitations of RMSD in the context of CASP, the Global Distance Test (GDT) was introduced in CASP4 (Zemla, 2003; Zemla et al., 2001).”
- SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information (2014, methodology): “…have 4 days to predict the 3D structure of the target proteins before models are evaluated against the protein structure coordinates released by the PDB using superposition-independent scoring methods such as Contact Area Difference (CAD) score (24) and local Distance Difference Test (lDDT) (25).”
- High‐accuracy protein structure prediction in CASP14 (2021, background): “…evaluates how well the all-atom distance map of the target is reproduced by the model 17 ; (3) CADaa, which compares residues' contact surface areas 18 ; (4) Sphere-Grinder (SG), a measure of local environment conservation 19 ; and (5) ASE, the accuracy self-estimate measure that assesses how well…”
- Assessment of model accuracy estimations in CASP12 (2017, methodology): “6 Already in CASP11, we expanded the number of reference measures, adding three non-rigid-body based measures — LDDT, 7 CAD, 8 and SphereGrinder 9 to the evaluation tool chest.”
- Methods for estimation of model accuracy in CASP12 (2017, methodology): “However, the true advantage of Pcomb-domain can only be seen if the assessment is based on domains or on using superposition independent evaluation measures like lDDT(55) and CAD-score.(54,55) We calculated the per-residue correlation of local predicted S-scores transformed using S-score formula (se”
- Assessment of the model refinement category in CASP12 (2017, methodology): “After 100 iterations, the weights converged, resulting in formula: where the weights for Z LDDT and Z CAD were manually excluded from the final score as they were approaching zero and GDT_TS was very strongly correlated with GDT_HA.”
- Challenging the state-of-the-art in protein structure prediction: Highlights of experimental target structures for the 10th Critical Assessment of Techniques for Protein Structure Prediction Experiment CASP10 (2014, background): “The domain structure consists of an N-terminally located and extended b -strand of 5 nm length [ b 1 comprising residues 7–28; see Fig.”