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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

This protocol introduces the tools available for modeling small-molecule ligands in cryoEM maps of macromolecules.

Abstract

Deciphering the protein-ligand interactions in a macromolecular complex is crucial for understanding the molecular mechanism, underlying biological processes, and drug development. In recent years, cryogenic sample electron microscopy (cryoEM) has emerged as a powerful technique to determine the structures of macromolecules and to investigate the mode of ligand binding at near-atomic resolution. Identifying and modeling non-protein molecules in cryoEM maps is often challenging due to anisotropic resolution across the molecule of interest and inherent noise in the data. In this article, the readers are introduced to various software and methods currently used for ligand identification, model building, and refinement of atomic coordinates using selected macromolecules. One of the simplest ways to identify the presence of a ligand, as illustrated with the enolase enzyme, is to subtract the two maps obtained with and without the ligand. The extra density of the ligand is likely to stand out in the difference map even at a higher threshold. There are instances, as shown in the case of metabotropic Glutamate receptor mGlu5, when such simple difference maps cannot be generated. The recently introduced method of deriving the Fo-Fc omit map can serve as a tool for validating and demonstrating the presence of the ligand. Finally, using the well-studied β-galactosidase as an example, the effect of resolution on modeling the ligands and solvent molecules in cryoEM maps is analyzed, and an outlook on how cryoEM can be used in drug discovery is presented.

Introduction

Cells accomplish their functions by carrying out innumerable chemical reactions simultaneously and independently, each meticulously regulated to ensure their survival and adaptability in response to environmental cues. This is achieved by molecular recognition, which enables biomolecules, especially proteins, to form transient or stable complexes with other macromolecules as well as small molecules or ligands1. Thus, protein-ligand interactions are fundamental to all processes in biology, which include the regulation of protein expression and activity, the recognition of substrates and cofactors by enzymes, as well as how cells perceive and rel....

Protocol

1. Modeling phosphoenolpyruvate (PEP) in enolase from Mycobacterium tuberculosis

  1. Identification of ligand density in the cryoEM map of PEP-enolase complex
    1. Download the unsharpened half-maps (emd_30988_additional_1.map and emd_30988_additional_2.map) of apo-enolase from the additional data in EMDB (see Table of Materials).
    2. Open ChimeraX (see Table of Materials). Open the half-maps of apo-enolase by clicking on Open

Representative Results

Example 1
The enzyme enolase from M. tuberculosis catalyzes the penultimate step of glycolysis and converts 2-phosphoglycerate to phosphoenolpyruvate (PEP), which is an essential intermediate for several metabolic pathways44,45. CryoEM data for the apo-enolase and PEP-bound enolase samples were collected at the same pixel size of 1.07 Å, and image processing was performed with Relion 3.146,

Discussion

The improvements in microscope hardware and software have resulted in an increase in the number of cryoEM structures in recent years. Although the highest resolution achieved at the moment in single particle cryoEM is 1.2 Å57,58,59, the majority of the structures are being determined around 3-4 Å resolution. Modeling ligands in medium to low-resolution maps can be tricky and often fraught with ambiguity. Given the wide.......

Acknowledgements

SJ is a recipient of the PhD studentship from DAE-TIFR, and the funding is acknowledged. KRV acknowledges DBT B-Life grant DBT/PR12422/MED/31/287/2014 and the support of the Department of Atomic Energy, Government of India, under Project Identification No. RTI4006.

....

Materials

NameCompanyCatalog NumberComments
CCP4-8.0Consortium of several instituteshttps://www.ccp4.ac.ukFree for academic users and includes Coot and list of tools developed for X-ray crystallography
CCP-EMConsortium of several instituteshttps://www.ccpem.ac.uk/download.phpFree for academic users and includes Coot, Relion and many others
Coot Paul Emsley, LMB, Cambridgehttps://www2.mrc-lmb.cam.ac.uk/personal/pemsley/coot/General software for model building but also available with other suites described above
DockinMap (Phenix)Consortium of several instituteshttps://phenix-online.org/documentation/reference/dock_in_map.htmlSoftware inside the Phenix suite for docking model into cryoEM maps
Electron Microscopy Data Bank Consortium of several instituteshttps://www.ebi.ac.uk/emdb/Public Repository for Electron Microscopy maps
FalconThermo Fisher Scientific https://assets.thermofisher.com/TFS-Assets/MSD/Technical-Notes/Falcon-3EC-Datasheet.pdfCommercial, camera from Thermo Fisher 
Phenix Consortium of several instituteshttps://phenix-online.org/downloadFree for academic users and includes Coot
Protein Data BankConsortium of several instituteshttps://rcsb.orgPublic database of macromolecular structures
PymolSchrodingerhttps://pymol.org/2/Molecular viusalization tool. Educational version is free but comes with limitation. The full version can be obtained with a small fee.
RelionMRC-LMB, Cambridgehttps://relion.readthedocs.io/en/release-4.0/Installation.htmlSoftware for cryoEM image processing, also available with CCP-EM
Titan KriosThermo Fisher Scientific https://www.thermofisher.com/in/en/home/electron-microscopy/products/transmission-electron-microscopes/krios-g4-cryo-tem.html?cid=msd_ls_xbu_xmkt_tem-krios_285811_gl_pso_gaw_tpne1c&
gad_source=1&gclid=CjwKCAiA-P-rBhBEEiwAQEXhHyw5c8MKThmdA
AkZesWC4FYQSwIQRk
ZApkj08MfYG040DtiiuL8
RihoCebEQAvD_BwE
Commercial, cryoTEM from Thermo Fisher
UCSF ChimeraUCSF, USAhttps://www.cgl.ucsf.edu/chimera/download.htmlGeneral purpose software for display, analysis and more
UCSF Chimera XUCSF, USAhttps://www.cgl.ucsf.edu/chimerax/General purpose software for display, analysis and more

References

  1. Steinbrecher, T., Labahn, A. Towards accurate free energy calculations in ligand protein-binding studies. Curr Med Chem. 17, 767-785 (2010).
  2. Fu, Y., Zhao, J., Chen, Z.

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Cryo EMCryogenic Electron MicroscopyMembrane ProteinsMacromolecular ComplexesLigand ModelingDrug DiscoveryProtein ligand InteractionsStructural BiologyLow resolution MapsSample HeterogeneitySoftware MethodsEnolase EnzymeMetabotropic Glutamate Receptor

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