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$Microcrystallography of Protein Crystals and In Cellulo Diffraction$

Microcrystallography of Protein Crystals and In Cellulo Diffraction

Published on: July 21, 2017

Integrating computational design with crystallographic validation.

Paris R Watson¹, Fátima Pardo-Avila², Parisa Hosseinzade³

¹Department of Biology, Johns Hopkins University, Baltimore, MD, United States.

Methods in Enzymology

|November 20, 2025

Summary

This summary is machine-generated.

The anchor extension method designs cyclic peptides for drug discovery. This approach uses computational modeling and experimental validation to create potent and selective therapeutic candidates efficiently.

Keywords:

Crystallography Cyclic peptide design Molecular dynamics

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Area of Science:

Medicinal Chemistry
Computational Biology
Drug Discovery

Background:

Cyclic peptides offer therapeutic advantages over small molecules, including enhanced binding interfaces for improved potency and specificity.
Their conformational complexity presents challenges in rational drug design, particularly for targeting difficult protein-protein interactions.
Existing design methods often rely on high-resolution crystal structures, limiting their applicability.

Purpose of the Study:

To present the anchor extension method, a novel protocol for designing cyclic peptide therapeutics.
To enable the design of cyclic peptides targeting challenging protein active sites, including histone deacetylases and kappa-opioid receptors.
To accelerate the discovery of macrocyclic peptide therapeutics through a combination of computational and experimental approaches.

Main Methods:

The anchor extension method utilizes an unnatural amino acid anchor and a generalized kinematic loop closure approach to extend cyclic peptide scaffolds.
A diverse chemical space including canonical, chiral variants, and non-canonical amino acids is employed.
The workflow integrates Rosetta modeling, molecular dynamics refinement, chemical synthesis, and crystallographic structure validation.

Main Results:

The method successfully designed high-affinity and selective inhibitors, experimentally testing fewer than 50 designed peptides.
The approach has been validated beyond histone deacetylases to other targets like kappa-opioid receptors.
This strategy enhances design capability by moving beyond reliance on high-resolution crystal structures.

Conclusions:

The anchor extension method provides a reproducible and generalizable framework for cyclic peptide drug discovery.
Bridging computational design with structural validation accelerates the identification of promising therapeutic candidates.
This protocol facilitates the development of novel macrocyclic peptide therapeutics for various diseases.