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Updated: May 8, 2026

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Production of Disulfide-stabilized Transmembrane Peptide Complexes for Structural Studies
Published on: March 6, 2013
Exploring the Structural Basis of Cryptic Pocket Formation Driven by Extensive Protein Conformational Changes in Drug
Martijn P Bemelmans1,2, Alberto Borsatto2,3, Simone Marsili4
1Computer-Aided Drug Design, In Silico Discovery, Therapeutics Discovery, Johnson & Johnson Innovative Medicine, Turnhoutseweg 30, Beerse 2340, Belgium.
Journal of Chemical Theory and Computation
|March 4, 2026
Summary
Cryptic pockets, crucial for drug discovery, emerge from complex protein dynamics. A new computational method, SLICE, aids in exploring these dynamics for identifying new drug targets.
Area of Science:
- Biochemistry
- Computational Biology
- Drug Discovery
Background:
- Cryptic pockets are transient allosteric binding sites crucial for drug discovery.
- Their formation involves significant protein conformational changes, posing challenges for experimental and computational identification.
- Understanding the dynamics of these pockets is key to targeting challenging pharmaceutical proteins.
Purpose of the Study:
- Investigate the structural basis of cryptic pocket formation in dynamic drug targets.
- Identify mechanisms driving the exposure of cryptic pockets.
- Develop a computational strategy to facilitate the exploration of cryptic pockets.
Main Methods:
- Utilized simulation-based methods to study cryptic pocket formation in PRMT5, PRMT6, SMARCA2, Abl1, and PI3Kα.
- Analyzed the role of local intramolecular contacts in anchoring functional protein segments.
- Developed and applied the SLICE (sampling by local interaction-guided conformational exploration) computational approach.
Main Results:
- Disruption of local intramolecular contacts drives large conformational changes leading to cryptic pocket formation.
- Simple perturbations like benzene probes or altered solvent interactions were insufficient to induce pocket formation.
- The SLICE method effectively guided conformational sampling around functional segments.
- The study revealed that high-energy barriers are involved in forming ligandable cryptic pockets.
Conclusions:
- Cryptic pocket formation is governed by complex mechanisms and high-energy barriers, not easily overcome by simple perturbations.
- The SLICE computational approach enhances the understanding and exploration of protein structural plasticity.
- This method facilitates the discovery of novel drug targets by leveraging the dynamics of functional protein segments.
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