AbstractAtomic positions obtained by X-ray crystallography are time and space averages over many molecules in the crystal. Importantly, interatomic distances, calculated between such average positions and frequently used in structural and mechanistic analyses, can be substantially different from the more appropriate time-average and ensemble-average interatomic distances. Using crystallographic B-factors, one can deduce corrections, which have so far been applied exclusively to small molecules, to obtain correct average distances as a function of the type of atomic motion. Here, using 4774 high-quality protein X-ray structures, we study the significance of such corrections for different types of atomic motion. Importantly, we show that for ...
A high resolution pair-distance distribution function P (r) of protein molecules has been obtained f...
Throughout history, methodological innovations have resulted in breakthroughs in our understanding o...
AbstractSimple coarse-grained models, such as the Gaussian network model, have been shown to capture...
AbstractAtomic positions obtained by X-ray crystallography are time and space averages over many mol...
Background: Protein structural rigidity was analyzed in a non-redundant ensemble of high-resolution ...
<p>A) Variation of the atomic distance d(R/H681, CA - H679’, O) as a characteristic proximal inter-s...
Biomolecular X-ray structures typically provide a static, time- and ensemble-averaged view of molecu...
The large majority of three-dimensional structures of biological macromolecules have been determined...
Structural flexibility is an essential attribute, without which few proteins could carry out their b...
The interatomic distance distribution, P(r), is a valuable tool for evaluating the structure of a mo...
We investigate unexpectedly short non-covalent distances (<85% of the sum of van der Waals radii) in...
To gain insight into crystalline protein dynamics, we performed molecular-dynamics (MD) simulations ...
We investigate unexpectedly short non-covalent distances ( 1,000 structures. Although our non-covale...
The power of X-ray crystal structure analysis as a technique is to `see where the atoms are'. The re...
The three-dimensional structures of proteins are stabilized by the interactions between amino acid r...
A high resolution pair-distance distribution function P (r) of protein molecules has been obtained f...
Throughout history, methodological innovations have resulted in breakthroughs in our understanding o...
AbstractSimple coarse-grained models, such as the Gaussian network model, have been shown to capture...
AbstractAtomic positions obtained by X-ray crystallography are time and space averages over many mol...
Background: Protein structural rigidity was analyzed in a non-redundant ensemble of high-resolution ...
<p>A) Variation of the atomic distance d(R/H681, CA - H679’, O) as a characteristic proximal inter-s...
Biomolecular X-ray structures typically provide a static, time- and ensemble-averaged view of molecu...
The large majority of three-dimensional structures of biological macromolecules have been determined...
Structural flexibility is an essential attribute, without which few proteins could carry out their b...
The interatomic distance distribution, P(r), is a valuable tool for evaluating the structure of a mo...
We investigate unexpectedly short non-covalent distances (<85% of the sum of van der Waals radii) in...
To gain insight into crystalline protein dynamics, we performed molecular-dynamics (MD) simulations ...
We investigate unexpectedly short non-covalent distances ( 1,000 structures. Although our non-covale...
The power of X-ray crystal structure analysis as a technique is to `see where the atoms are'. The re...
The three-dimensional structures of proteins are stabilized by the interactions between amino acid r...
A high resolution pair-distance distribution function P (r) of protein molecules has been obtained f...
Throughout history, methodological innovations have resulted in breakthroughs in our understanding o...
AbstractSimple coarse-grained models, such as the Gaussian network model, have been shown to capture...