Improving Protein Order-Disorder Classification Using Charge-Hydropathy Plots
Document Type
Article
Publication Date
2014
Digital Object Identifier (DOI)
https://doi.org/10.1186/1471-2105-15-S17-S4
Abstract
Background: The earliest whole protein order/disorder predictor (Uversky et al., Proteins, 41: 415-427 (2000)), herein called the charge-hydropathy (C-H) plot, was originally developed using the Kyte-Doolittle (1982) hydropathy scale (Kyte & Doolittle., J. Mol. Biol, 157: 105-132(1982)). Here the goal is to determine whether the performance of the C-H plot in separating structured and disordered proteins can be improved by using an alternative hydropathy scale.
Results: Using the performance of the CH-plot as the metric, we compared 19 alternative hydropathy scales, with the finding that the Guy (1985) hydropathy scale (Guy, Biophys. J, 47:61-70(1985)) was the best of the tested hydropathy scales for separating large collections structured proteins and intrinsically disordered proteins (IDPs) on the C-H plot. Next, we developed a new scale, named IDP-Hydropathy, which further improves the discrimination between structured proteins and IDPs. Applying the C-H plot to a dataset containing 109 IDPs and 563 nonhomologous fully structured proteins, the Kyte-Doolittle (1982) hydropathy scale, the Guy (1985) hydropathy scale, and the IDP-Hydropathy scale gave balanced two-state classification accuracies of 79%, 84%, and 90%, respectively, indicating a very substantial overall improvement is obtained by using different hydropathy scales. A correlation study shows that IDP-Hydropathy is strongly correlated with other hydropathy scales, thus suggesting that IDPHydropathy probably has only minor contributions from amino acid properties other than hydropathy.
Conclusion: We suggest that IDP-Hydropathy would likely be the best scale to use for any type of algorithm developed to predict protein disorder.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
BMC Bioinformatics, v. 15, issue. 17, art s4
Scholar Commons Citation
Huang, Feihe; Oldfield, Christopher J.; Xue, Bin; Hsu, Wei-Lun; Meng, Jingwei; Liu, Xiaowen; Shen, Li; Romero, Pedro; Uversky, Vladimir N; and Dunker, Keith A., "Improving Protein Order-Disorder Classification Using Charge-Hydropathy Plots" (2014). Molecular Medicine Faculty Publications. 405.
https://digitalcommons.usf.edu/mme_facpub/405
