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JCB
2008

Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment

10 years 2 months ago
Statistics of Random Protein Superpositions: p-Values for Pairwise Structure Alignment
Quantification of statistical significance is essential for the interpretation of protein structural similarity. To address this, a random model for protein structure comparison was developed. Novelty of the model is threefold. First, a sample of random structure comparisons is restricted to molecules of the same size and shape as the superposition of interest. Second, careful selection of the sample and accurate modeling of shape allows approximation of the root mean square deviation (RMSD) distribution of random comparisons with a Nakagami probability density function. Third, through convolution, a second probability density function is obtained that describes the coordinate difference vector projections underlying the random distribution of RMSD. This last feature allows sampling random distributions of not only RMSD, but also any similarity score that depends on difference vector projections, such as GDT_TS score, TM score, and LiveBench 3D score. Probabilities estimated from the ...
James O. Wrabl, Nick V. Grishin
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where JCB
Authors James O. Wrabl, Nick V. Grishin
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