Determination of ensemble-average pairwise root mean-square deviation from experimental B-factors.

Abstract:

:Root mean-square deviation (RMSD) after roto-translational least-squares fitting is a measure of global structural similarity of macromolecules used commonly. On the other hand, experimental x-ray B-factors are used frequently to study local structural heterogeneity and dynamics in macromolecules by providing direct information about root mean-square fluctuations (RMSF) that can also be calculated from molecular dynamics simulations. We provide a mathematical derivation showing that, given a set of conservative assumptions, a root mean-square ensemble-average of an all-against-all distribution of pairwise RMSD for a single molecular species, (1/2), is directly related to average B-factors () and (1/2). We show this relationship and explore its limits of validity on a heterogeneous ensemble of structures taken from molecular dynamics simulations of villin headpiece generated using distributed-computing techniques and the Folding@Home cluster. Our results provide a basis for quantifying global structural diversity of macromolecules in crystals directly from x-ray experiments, and we show this on a large set of structures taken from the Protein Data Bank. In particular, we show that the ensemble-average pairwise backbone RMSD for a microscopic ensemble underlying a typical protein x-ray structure is approximately 1.1 A, under the assumption that the principal contribution to experimental B-factors is conformational variability.

journal_name

Biophys J

journal_title

Biophysical journal

authors

Kuzmanic A,Zagrovic B

doi

10.1016/j.bpj.2009.11.011

subject

Has Abstract

pub_date

2010-03-03 00:00:00

pages

861-71

issue

5

eissn

0006-3495

issn

1542-0086

pii

S0006-3495(09)01738-X

journal_volume

98

pub_type

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