Abstract

Proteins inherently fluctuate between conformations to perform functions in the cell. For example, they sample product-binding, transition-state-stabilizing and product-release states during catalysis, and they integrate signals from remote regions of the structure for allosteric regulation. However, there is a lack of understanding of how these dynamic processes occur at the basic atomic level. This gap can be at least partially addressed by combining variable-temperature (instead of traditional cryogenic temperature) X-ray crystallography with algorithms for modeling alternative conformations based on electron-density maps, in an approach called multitemperature multiconformer X-ray crystallography (MMX). Here, the use of MMX to reveal alternative conformations at different sites in a protein structure and to estimate the degree of energetic coupling between them is discussed. These insights can suggest testable hypotheses about allosteric mechanisms. Temperature is an easily manipulated experimental parameter, so the MMX approach is widely applicable to any protein that yields well diffracting crystals. Moreover, the general principles of MMX are extensible to other perturbations such as pH, pressure, ligand concentration etc. Future work will explore strategies for leveraging X-ray data across such perturbation series to more quantitatively measure how different parts of a protein structure are coupled to each other, and the consequences thereof for allostery and other aspects of protein function.

Highlights

  • Life at the molecular level is fundamentally dynamic

  • The idea behind multiconformer X-ray crystallography (MMX) is to build a complete multiconformer model for each data set, locally superpose electron-density maps based on these models (Pearce, Krojer, Bradley et al, 2017) and quantitatively compare the maps (Fig. 5)

  • Synergy between models and maps is a key feature of the proposed MMX paradigm, as focusing on either alone would have limitations

Read more

Summary

Introduction

Life at the molecular level is fundamentally dynamic. Proteins, the molecular workhorses of cells, are not static entities: rather, they fluctuate between alternative conformations defined by a complex energy landscape (Frauenfelder et al, 1991) to accomplish their biological functions. X-ray data sets collected at intermediate temperatures (Fig. 2a; left to right) can clarify how conformational coupling relates to biological function, for example at catalytic sites (Keedy, Kenner et al, 2015) and in allosteric networks (Keedy et al, 2018). These studies are enabled by the continuing development of strategies for collecting complete, radiationdamage-free X-ray data sets at noncryogenic temperatures (see Section 2.3). Allosteric network, such as small molecules or mutations, and monitoring the structural and functional effects in vitro or in vivo (Fig. 2b)

Modeling multiple conformations in protein structures
Multitemperature crystallography
Data-collection improvements
X-ray free-electron lasers
Discussion and future directions of MMX
Methods
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.