Three-dimensional (3D) structure of a wide range of biological
macromolecular assemblies can be computed from two-dimensional (2D)
images collected by transmission electron microscopy (EM). This
information integrated with other structural data (e.g., from X-ray
crystallography) helps structural biologists understand the function
of macromolecular complexes. Single-particle analysis (SPA) is a
method used for studies of macromolecular assemblies whose structure
and dynamics can be analyzed in isolation (e.g., proteins, ribosomes,
viruses). It is complementary to nuclear magnetic resonance since it
allows computing the structure of large assemblies (diameter of 10-30
nm). It is also complementary to X-ray crystallography since it allows
studying non-crystalline matter.
Typically SPA uses a large number of images of randomly oriented
individual molecules to reconstruct the 3D structure. In practice, the
analysis requires EM images of thousands of individual molecules of
the same protein captured in a unique conformation taken in random
orientation. When the distribution of single-particle orientations
samples Fourier space completely and the population is homogeneous,
standard image processing strategies allow computing an average
structure at resolution of 0.4-1 nm.
In addition, SPA has shown to be promising in capturing alternative
conformations of the same macromolecular complex. To understand the
functions of macromolecular assemblies, it is often necessary to
elucidate their structural dynamics by determining these alternative
conformations. SPA is well suited for studying dynamics of large
macromolecular complexes that display multiple conformations in
solution since images of individual molecules can be potentially
sorted computationally.
However, in the framework in which the conformational change is
considered as a continuous movement, any kind of classification (in 2D
or in 3D) samples the continuous movement into discrete, average
conformations which limits the resolution of the computed
conformations meaning that some different but close conformations may
not be detected. The techniques for the analysis of molecular dynamics
from EM images are currently under permanent development and may
provide strong impact on structural biology and drug discovery. This
talk is about a recently developed method that combines normal mode
analysis with volume-to-image registration for studying
continuous-type conformational variability.