Assessment of Predictions Submitted for the CASP7 Domain Prediction Category
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This paper details the assessment process and evaluation results for the Critical Assessment of Protein Structure Prediction (CASP7) domain prediction category. Domain predictions were assessed using the Normalized Domain Overlap score introduced in CASP6 and the accuracy of prediction of domain break points. The results of the analysis clearly demonstrate that the best methods are able to make consistently reliable predictions when the target has a structural template, although they are less good when the domain break occurs in a region not covered by a template. The conditions of the experiment meant that it was impossible to draw any conclusions about domain prediction for free modeling targets and it was also difficult to draw many distinctions between the best groups. Two thirds of the targets submitted were single domains and hence regarded as easy to predict. Even those targets defined as having multiple domains always had at least one domain with a similar template structure.
Chainsaw: protein domain segmentation with fully convolutional neural networks.
Wells J, Hawkins-Hooker A, Bordin N, Sillitoe I, Paige B, Orengo C Bioinformatics. 2024; 40(5).
PMID: 38718225 PMC: 11256964. DOI: 10.1093/bioinformatics/btae296.
Res-Dom: predicting protein domain boundary from sequence using deep residual network and Bi-LSTM.
Wang L, Zhong H, Xue Z, Wang Y Bioinform Adv. 2023; 2(1):vbac060.
PMID: 36699417 PMC: 9710680. DOI: 10.1093/bioadv/vbac060.
FUpred: detecting protein domains through deep-learning-based contact map prediction.
Zheng W, Zhou X, Wuyun Q, Pearce R, Li Y, Zhang Y Bioinformatics. 2020; 36(12):3749-3757.
PMID: 32227201 PMC: 7320627. DOI: 10.1093/bioinformatics/btaa217.
Deep-learning contact-map guided protein structure prediction in CASP13.
Zheng W, Li Y, Zhang C, Pearce R, Mortuza S, Zhang Y Proteins. 2019; 87(12):1149-1164.
PMID: 31365149 PMC: 6851476. DOI: 10.1002/prot.25792.
A Fast Alignment-Free Approach for De Novo Detection of Protein Conserved Regions.
Abnousi A, Broschat S, Kalyanaraman A PLoS One. 2016; 11(8):e0161338.
PMID: 27552220 PMC: 4995020. DOI: 10.1371/journal.pone.0161338.