This lecture explains how different structural biology methods have evolved over time, especially focusing on the explosive rise of cryo-electron microscopy (cryo-EM) and why it is becoming one of the most powerful tools for determining protein structures.
A key theme is how structural methods contributed differently to the Protein Data Bank (PDB) over the years.
๐ Interpretation: Crystallography is still essential, but the field may be approaching methodological saturation or competition from newer techniques.
๐ Interpretation: NMR is an important complementary method, but not expanding as rapidly as newer technologies.
๐ Big message: Cryo-EM represents a major technological shift (a โresolution revolutionโ) in structural biology.
A striking observation from deposited structures:
| Method | Fraction of membrane protein structures (approx. 2015) |
|---|---|
| X-ray crystallography | ~3.5% |
| NMR | ~2% |
| Cryo-EM | ~16% |
โก๏ธ Cryo-EM is especially powerful for membrane proteins, which are notoriously difficult to crystallize.
๐ Key takeaway: If your research focuses on large complexes or membrane proteins โ cryo-EM is often the best choice.
Before ~2013:
After technological advances:
๐ This leap in resolution fundamentally changed structural biology.
Three scientists were awarded for enabling modern cryo-EM:
๐ This makes proteins visible under the electron beam without distortion.
๐ This software revolution was essential โ raw cryo-EM data alone is not enough.
๐ Lesson: Scientific revolutions often require both theory + technological innovation.
๐ Structural biology is undergoing a methodological paradigm shift.
However:
โญ X-ray crystallography historically dominates PDB (~85%). โญ Cryo-EM shows exponential growth since ~2013. โญ Cryo-EM is especially powerful for membrane proteins and large complexes. โญ Resolution revolution enabled atomic modeling from EM maps. โญ Nobel Prize 2017 recognized vitrification, image analysis, and theoretical advances. โญ Structural biology is shifting toward integrative and cryo-EM-driven approaches.