This module defines functions for comparing normal modes from different models.
Returns overlap (or correlation) between two sets of modes (rows and cols). Returns a matrix whose rows correspond to modes passed as rows argument, and columns correspond to those passed as cols argument. Both rows and columns are normalized prior to calculating overlap.
calcCumulOverlap(modes1, modes2, array=False)¶
Returns cumulative overlap of modes in modes2 with those in modes1. Returns a number of modes1 contains a single
Vectorinstance. If modes1 contains multiple modes, returns an array. Elements of the array correspond to cumulative overlaps for modes in modes1 with those in modes2. If array is True, Return array of cumulative overlaps. Returned array has the shape
(len(modes1), len(modes2)). Each row corresponds to cumulative overlaps calculated for modes in modes1 with those in modes2. Each value in a row corresponds to cumulative overlap calculated using upto that many number of modes from modes2.
Returns subspace overlap between two sets of modes (modes1 and modes2). Also known as the root mean square inner product (RMSIP) of essential subspaces [AA99]. This function returns a single number.
[AA99] Amadei A, Ceruso MA, Di Nola A. On the convergence of the conformational coordinates basis set obtained by the essential dynamics analysis of proteins’ molecular dynamics simulations. Proteins 1999 36(4):419-424.
Returns overlap between covariances of modelA and modelB. Overlap between covariances are calculated using normal modes (eigenvectors), hence modes in both models must have been calculated. This function implements equation 11 in [BH02].
[BH02] Hess B. Convergence of sampling in protein simulations. Phys Rev E 2002 65(3):031910.
Print table of overlaps (correlations) between two sets of modes. rows and cols are sets of normal modes, and correspond to rows and columns of the printed table. This function may be used to take a quick look into mode correspondences between two models.
>>> # Compare top 3 PCs and slowest 3 ANM modes >>> printOverlapTable(p38_pca[:3], p38_anm[:3]) Overlap Table ANM 1p38 #1 #2 #3 PCA p38 xray #1 -0.39 +0.04 -0.71 PCA p38 xray #2 -0.78 -0.20 +0.22 PCA p38 xray #3 +0.05 -0.57 +0.06